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@ -4,18 +4,18 @@
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"name": "Alireza Rezvani",
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"url": "https://alirezarezvani.com"
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},
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"description": "348 production-ready skill packages for Claude AI across 18 domains: engineering advanced (78, incl. v2.9.0 workflow-builder for Claude Code Workflow-tool authoring), engineering core (51), marketing (46 — incl. AEO/Answer Engine Optimization), c-level advisory (66), product (17), regulatory/QMS (18), compliance-os (9), project management (9), business growth (5), finance (4), productivity (6), marketing top-level (1), research (8), research-ops (5, v2.9.0), business-operations (7), commercial (8), markdown-html (5, v2.10.3 — markdown-to-interactive-HTML converter complete: orchestrator + design-system + md-document long-form + md-review code-review + md-slides slide-deck), and loop-library (1 — vendored Forward Future Loop Library skill). Includes 586 Python tools, 713 reference documents, 94 agents, 100 slash commands across 79 marketplace plugins.",
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|
"description": "338 production-ready skill packages for Claude AI across 16 domains: engineering advanced (78, incl. v2.9.0 workflow-builder for Claude Code Workflow-tool authoring), engineering core (51), marketing (46 — incl. AEO/Answer Engine Optimization), c-level advisory (66), product (17), regulatory/QMS (18), compliance-os (9), project management (9), business growth (5), finance (4), productivity (6), marketing top-level (1), research (8), research-ops (5, v2.9.0), business-operations (7), and commercial (8). Includes 533 Python tools, 676 reference documents, 51+ agents, 87+ slash commands across 63 marketplace plugins.",
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"homepage": "https://github.com/alirezarezvani/claude-skills",
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"repository": "https://github.com/alirezarezvani/claude-skills",
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"metadata": {
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"description": "388 production-ready skills across 20 domains (engineering, engineering-core, marketing, product, c-level, c-level-agents, compliance-os, project management, RA/QM, business growth, finance, productivity, marketing top-level, research, research-ops, business-operations, commercial, markdown-html, loop-library, plus standards). 727 Python tools, 842 reference guides, 118 agents (cs-* + personas), 150 slash commands across 99 marketplace plugins. v2.11.2 vendors engineering/skillopt-sleep — a verbatim copy of microsoft/SkillOpt's stdlib-only skillopt_sleep engine + Claude Code plugin surface, giving a local agent a nightly gated self-improvement cycle (read-only session harvest -> mine -> offline replay -> held-out-gated CLAUDE.md/SKILL.md edits -> staged for explicit /skillopt-sleep adopt). productivity/fable-goal (unreleased, post-v2.11.1) converts a rambling description of a desired outcome into one polished /goal prompt for a fresh autonomous session. v2.11.1 turns product-team and project-management into agent-harness domains: fork-orchestrators with deterministic goal routers, a Jira MCP snapshot bridge (Kanban flow metrics + Monte Carlo forecasting), a delegation-governance loop gate, a continuous-discovery cadence tracker, and an Opportunity Solution Tree linter, with /cs:pm and /cs:product command families. v2.10.3 completes the markdown-html domain with md-slides — slide-deck converter (arrow-key / Space / PgDn / Home/End / P keyboard navigation + presenter mode with split-view clock + speaker notes + next-slide preview + URL-hash deep linking like #3 for direct slide jumps + @media print page-per-slide for browser-native PDF export). Reuses md-document's markdown parser; vanilla JS only (no framework runtime); Prism.js opt-in via --syntax. Joins md-review (v2.10.2 code-review converter), md-document (v2.10.1 long-form converter), and the v2.10.0 foundation (orchestrator + design-system). Compatible with Claude Code, Codex CLI, Gemini CLI, Cursor, OpenClaw, Hermes Agent, Mistral Vibe, and 5 more coding agents.",
|
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"version": "2.12.0"
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"description": "338 production-ready skills across 16 domains (engineering, engineering-core, marketing, product, c-level, compliance-os, project management, RA/QM, business growth, finance, productivity, marketing (top-level), research, research-ops, business-operations, commercial, plus standards). 533 Python tools, 676 reference guides, 51+ agents (cs-* + personas), 87+ slash commands across 63 marketplace plugins. v2.9.0 adds the research-ops domain — enterprise Research Operations (clinical-research + research-finance + market-research + product-research + orchestrator) with per-skill onboarding, customization config, and an opt-in autoresearch bridge, plus the engineering workflow-builder skill (intake-first authoring of deterministic multi-agent .js workflows for Claude Code's Workflow tool). Compatible with Claude Code, Codex CLI, Gemini CLI, Cursor, OpenClaw, Hermes Agent, Mistral Vibe, and 5 more coding agents.",
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"version": "2.9.0"
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},
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"plugins": [
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{
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"name": "marketing-skills",
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"source": "./marketing-skill",
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"description": "47 marketing skills across 8 pods: Content, SEO & AEO, CRO, Channels, Growth, Intelligence, Sales enablement, and X/Twitter growth. 62 Python tools, 89 reference docs.",
|
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"description": "44 marketing skills across 7 pods: Content, SEO, CRO, Channels, Growth, Intelligence, Sales enablement, and X/Twitter growth. 51 Python tools, 73 reference docs.",
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"version": "2.9.0",
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"author": {
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"name": "Alireza Rezvani"
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@ -39,7 +39,7 @@
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{
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"name": "c-level-skills",
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"source": "./c-level-advisor",
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"description": "33 C-level advisory skills (install the separate companion c-level-agents plugin for the persona layer): virtual board of directors (CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO) plus General Counsel, CDO, CAIO, CCO, and VP of Engineering (DORA delivery throughput analyzer, engineering hiring funnel calculator with conversion + pipeline gap, eng team structure designer with squad/tribe + manager-trigger), executive mentor, founder coach, orchestration (Chief of Staff, board meetings, decision logger), strategic capabilities (board deck builder, scenario war room, competitive intel, M&A playbook), culture frameworks. The 13 cs-* persona agents + 21 /cs:* slash commands (founder-mode router, office-hours intake, multi-role boardroom, strategic sprint pipeline, cross-model consensus, cooldown freeze) ship in the companion c-level-agents plugin.",
|
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"description": "33 C-level advisory skills + c-level-agents plugin layer: virtual board of directors (CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO) plus General Counsel, CDO, CAIO, CCO, and VP of Engineering (DORA delivery throughput analyzer, engineering hiring funnel calculator with conversion + pipeline gap, eng team structure designer with squad/tribe + manager-trigger), executive mentor, founder coach, orchestration (Chief of Staff, board meetings, decision logger), strategic capabilities (board deck builder, scenario war room, competitive intel, M&A playbook), culture frameworks, and 13 cs-* persona agents + 21 /cs:* slash commands (founder-mode router, office-hours intake, multi-role boardroom, strategic sprint pipeline, cross-model consensus, cooldown freeze).",
|
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"version": "2.9.0",
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"author": {
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"name": "Alireza Rezvani"
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@ -60,7 +60,7 @@
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},
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{
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"name": "c-level-agents",
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"source": "./c-level-agents",
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"source": "./c-level-advisor/c-level-agents",
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"description": "Founder-mode executive team plugin: 13 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, Chief of Staff, General Counsel, Chief Data Officer, Chief AI Officer, Chief Customer Officer, VP of Engineering) with distinct cognitive voices, plus 21 /cs:* slash commands — forcing-question office hours (CFO/CMO/CPO/CRO/CTO/CISO/GC/CDO/CAIO/CCO/VPE reviews), strategic sprint pipeline (brief → boardroom → decide → execute → post-mortem), and meta routing (/cs:founder-mode auto-router, /cs:onboard, /cs:cross-eval multi-model consensus, /cs:freeze cooldown lock). Wraps the 33 c-level skills with cognitive gearing, persona voice, and artifact-driven handoffs. The business-domain answer to YC Garry Tan's gstack.",
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"version": "2.9.0",
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"author": {
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@ -130,27 +130,6 @@
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],
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"category": "leadership"
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},
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{
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"name": "arquiteto-de-empresa",
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"source": "./c-level-advisor/arquiteto-de-empresa",
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"description": "Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of versionable .md files with a frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents alike. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, and generates conformant markdown concepts. 3 stdlib tools: scaffold_bundle (bundle scaffold), okf_linter (validates type/reserved files/links), index_generator (regenerates the index.md files). Standalone-installable; also bundled in c-level-skills. In English.",
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"version": "2.10.3",
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"author": {
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"name": "leoal"
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},
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"keywords": [
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"arquiteto-de-empresa",
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"company-architect",
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"okf",
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"open-knowledge-format",
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"knowledge-bundle",
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"business-from-scratch",
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"company-as-code",
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"founder",
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"chief-of-staff"
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],
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"category": "leadership"
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},
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{
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"name": "chief-data-officer-advisor",
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"source": "./c-level-advisor/chief-data-officer-advisor",
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@ -245,7 +224,7 @@
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{
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"name": "engineering-advanced-skills",
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"source": "./engineering",
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"description": "37 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator (semantic version bumper + hotfix/rollback), API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor, skill tester, performance profiler, focused-fix, browser-automation, full-page-screenshot, git-worktree-manager, monorepo-navigator, codebase-onboarding, interview-system-designer, runbook-generator, spec-driven-workflow, secrets-vault-manager, env-secrets-manager, pr-review-expert, self-eval, tc-tracker, feature-flags-architect, kubernetes-operator, chaos-engineering, ship-gate (pre-production 8-category audit), slo-architect (error-budget + multi-window burn-rate alerts per Google SRE Workbook), and tech-debt-tracker. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.",
|
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|
"description": "40 advanced engineering skills: agent designer, agent workflow designer, AgentHub, RAG architect, database designer, focused-fix, browser-automation, spec-driven-workflow, secrets-vault-manager, sql-database-assistant, migration architect, observability designer, dependency auditor, release manager, API reviewer, CI/CD pipeline builder, MCP server builder, skill security auditor, performance profiler, Helm chart builder, Terraform patterns, self-eval, llm-cost-optimizer, prompt-governance, behuman, code-tour, demo-video, data-quality-auditor, statistical-analyst, llm-wiki (second brain for Obsidian + Claude Code, Karpathy pattern), feature-flags-architect (flag debt scanner, rollout planner, kill-switch audit), kubernetes-operator (CRD validator, reconcile linter, capability auditor), chaos-engineering (experiment designer, blast-radius calculator, postmortem generator), ship-gate (pre-production 8-category audit with deploy-intent intercept), slo-architect (SLO designer, error-budget calculator with multi-window burn-rate alerts, SLO reviewer per Google SRE Workbook), and more.",
|
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|
|
"version": "2.9.0",
|
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|
"author": {
|
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|
|
"name": "Alireza Rezvani"
|
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@ -315,8 +294,8 @@
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{
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"name": "product-skills",
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"source": "./product-team",
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"description": "13 bundled product skills with 22 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs:product + /cs:grill-product + /cs:product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo. Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer.",
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"version": "2.11.1",
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"description": "13 product skills with 17 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert.",
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"version": "2.9.0",
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"author": {
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"name": "Alireza Rezvani"
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},
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@ -342,8 +321,8 @@
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{
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"name": "pm-skills",
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"source": "./project-management",
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"description": "9 project management skills with 15 Python tools: pm-skills fork-orchestrator with agentic delivery loop (deterministic 8-lane router, Jira MCP snapshot bridge to Kanban flow metrics + Monte Carlo forecasts, delegation-governance gate, /cs:pm + /cs:grill-pm + /cs:pm-loop), senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template creator, meeting analyzer, team communications. Bundled Atlassian Remote MCP.",
|
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"version": "2.11.1",
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"description": "9 project management skills with 12 Python tools: senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template creator.",
|
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"version": "2.9.0",
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|
"author": {
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"name": "Alireza Rezvani"
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},
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@ -401,7 +380,7 @@
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{
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"name": "pw",
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"source": "./engineering-team/playwright-pro",
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"description": "Production-grade Playwright testing toolkit. 9 skills, 3 agents, 55 templates, plus optional (manually enabled) TestRail/BrowserStack integrations. Generate tests, fix flaky failures, migrate from Cypress/Selenium.",
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"description": "Production-grade Playwright testing toolkit. 9 skills, 3 agents, 55 templates, TestRail + BrowserStack MCP integrations. Generate tests, fix flaky failures, migrate from Cypress/Selenium.",
|
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|
"version": "2.9.0",
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"author": {
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"name": "Alireza Rezvani"
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@ -420,8 +399,8 @@
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{
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"name": "self-improving-agent",
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"source": "./engineering-team/self-improving-agent",
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"description": "Curate auto-memory, promote learnings to CLAUDE.md and rules, extract patterns into skills. Ships 5 slash commands (/si:memory-review, /si:promote, /si:extract, /si:memory-status, /si:remember) and 2 sub-agents (memory-analyst, skill-extractor).",
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"version": "2.9.1",
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|
"description": "Curate auto-memory, promote learnings to CLAUDE.md and rules, extract patterns into skills. Ships 5 slash commands (/si:review, /si:promote, /si:extract, /si:status, /si:remember) and 2 sub-agents (memory-analyst, skill-extractor).",
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"version": "2.9.0",
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|
"author": {
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"name": "Alireza Rezvani"
|
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},
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@ -436,7 +415,7 @@
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{
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"name": "autoresearch-agent",
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"source": "./engineering/autoresearch-agent",
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"description": "Autonomous experiment loop — optimize any file by a measurable metric. 5 slash commands (/ar:setup, /ar:run, /ar:loop, /ar:ar-status, /ar:ar-resume), 8 built-in evaluators, configurable loop intervals (10min to monthly).",
|
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|
"description": "Autonomous experiment loop — optimize any file by a measurable metric. 5 slash commands (/ar:setup, /ar:run, /ar:loop, /ar:status, /ar:resume), 8 built-in evaluators, configurable loop intervals (10min to monthly).",
|
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"version": "2.9.0",
|
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"author": {
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"name": "Alireza Rezvani"
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@ -501,7 +480,7 @@
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{
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"name": "agenthub",
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"source": "./engineering/agenthub",
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"description": "Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub:hub-init, /hub:spawn, /hub:hub-status, /hub:eval, /hub:merge, /hub:board, /hub:run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.",
|
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|
"description": "Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub:init, /hub:spawn, /hub:status, /hub:eval, /hub:merge, /hub:board, /hub:run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.",
|
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|
"version": "2.9.0",
|
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|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
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@ -862,26 +841,6 @@
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],
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"category": "development"
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},
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{
|
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"name": "book-to-skill",
|
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"source": "./engineering/book-to-skill",
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|
"description": "Converts books, documentation folders, and source collections (PDF, EPUB, DOCX, HTML, Markdown, RST, AsciiDoc, RTF, MOBI/AZW) into structured agent skills: a master SKILL.md with core frameworks and a topic index, on-demand chapter files, a glossary, a patterns file, and a decision cheatsheet. Ships 4 stdlib-only tools (multi-format extractor with invisible-Unicode sanitization, four-family generated-skill validator covering frontmatter/safety/budget/index, pre- and post-flight token budget estimator with a worth-converting verdict, and a plugin emitter that wraps a compiled skill as an installable claude-skills package behind a rights gate), 5 references citing 7-8 sources each, a cs-book-to-skill agent, and /cs:book-to-skill + /cs:book-to-plugin commands. Derived from virgiliojr94/book-to-skill (MIT).",
|
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"version": "1.0.0",
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"author": {
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"name": "Alireza Rezvani"
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},
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"keywords": [
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|
"knowledge-base",
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"book-to-skill",
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"document-extraction",
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"pdf",
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"epub",
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"progressive-disclosure",
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"skill-authoring",
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"meta-skill"
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],
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"category": "development"
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},
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{
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"name": "workflow-builder",
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"source": "./engineering/workflow-builder",
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@ -921,89 +880,6 @@
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],
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"category": "development"
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},
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{
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|
"name": "zero-hallucination-coder",
|
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|
"source": "./engineering/zero-hallucination-coder",
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|
"description": "A disciplined coding pipeline that grounds code in verified structure before a line is written: Discuss -> Map -> Decompose -> Execute -> Verify, with a lazy-senior-dev YAGNI ladder that deletes unnecessary code first. No invented APIs, no assumed imports, no placeholder code. Opt-in for high-stakes, complex, or multi-file work; not for trivial edits. Synthesizes four MIT/open-source projects (Ralph atomic loop, GSD Core context engineering, Graphify KNOWN/INFERRED/UNKNOWN mapping, Ponytail lazy-senior hierarchy). Contributed via PR #854.",
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|
"version": "2.10.3",
|
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"author": {
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|
"name": "Alireza Rezvani"
|
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|
},
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|
"keywords": [
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|
"zero-hallucination",
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"coding-pipeline",
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|
"context-engineering",
|
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"codebase-mapping",
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|
"yagni",
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|
"plan-before-code",
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"engineering"
|
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|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "agent-harness",
|
|
|
|
|
"source": "./engineering/agent-harness",
|
|
|
|
|
"description": "Turn any domain folder of skills into a bounded agentic loop: a manifest builder inventories a domain's skills/tools/checks, a goal compiler turns a goal into a verifiable task plan (refusing vague goals with forcing questions), and a JSON-backed loop controller drives execute->verify->close with retry caps, controller-run verification (no verification theater), human escalation on exhausted budgets, and a close gate that refuses while any task is unverified or unwaived. Ships 3 stdlib Python tools, 18 committed per-domain harness manifests + JSON schema, 3 references citing the 2024-2026 agent-harness canon (Anthropic long-running harnesses, verifier's law, SWE-agent, Ralph loop, Cognition), harness-runner agent + /cs:harness command. Use when an agent or subagent should pick up a goal, define its tasks, complete and verify them, and close the loop.",
|
|
|
|
|
"version": "1.0.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"agent-harness",
|
|
|
|
|
"agentic-loop",
|
|
|
|
|
"verification-gate",
|
|
|
|
|
"goal-compiler",
|
|
|
|
|
"loop-controller",
|
|
|
|
|
"stop-conditions",
|
|
|
|
|
"escalation",
|
|
|
|
|
"multi-agent",
|
|
|
|
|
"engineering"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "memory-engineering",
|
|
|
|
|
"source": "./engineering/memory-engineering",
|
|
|
|
|
"description": "Engineer an agent's forgetting, not just its remembering. Four deterministic stdlib scripts implement the four lenses of agent memory: a cost profiler that splits construction from query spend and reports cost per correct answer (construction energy exceeds total query energy across 300 queries in the Stanford characterization); an architecture picker that scores the four paradigm families — long-context, flat RAG, structure-augmented RAG, agentic — disqualifies on hard constraints, names the cost the winning choice makes you pay, and refuses to pick when the top two tie; a density auditor that classifies every record in a memory directory or JSONL export as FACT / SKILL / LOG / PROSE, finds near-duplicates, and flags stale wording; and a forgetting-policy linter that fails any design with no forgetting rule. Ships cs-memory-engineer agent, /cs:memory-engineering and /cs:forgetting-audit commands, 4 references, and a seven-question forcing worksheet.",
|
|
|
|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"agent-memory",
|
|
|
|
|
"memory-engineering",
|
|
|
|
|
"forgetting-policy",
|
|
|
|
|
"context-engineering",
|
|
|
|
|
"rag",
|
|
|
|
|
"kv-cache",
|
|
|
|
|
"retention",
|
|
|
|
|
"write-path-cost",
|
|
|
|
|
"engineering"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "skill-doctor",
|
|
|
|
|
"source": "./engineering/skill-doctor",
|
|
|
|
|
"description": "Grade an agent setup from real conversation history — a rebuild of warpdotdev/common-skills' skill-doctor (MIT). Harvests recent local Claude Code and Codex sessions scoped to one repo, condenses and secret-redacts transcripts (12-pattern redactor, chmod-0600 artifacts, nothing uploaded), has the agent judge each transcript against two verbatim-preserved rubrics (efficiency, code quality — labels only), then runs a deterministic aggregation gate that derives every number from the label tables, refuses scores for unsampled sessions and suggestions that cite no scored session, and renders one self-contained zero-JS HTML report (dark-mode, print-to-PDF). Proposed skill edits stay staged as diffs until an explicit per-skill yes; zero suggestions is a valid, reportable success. Ships cs-skill-doctor agent, /cs:skill-doctor command, 3 stdlib tools, 3 references citing 7 sources each.",
|
|
|
|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"skill-doctor",
|
|
|
|
|
"skill-grading",
|
|
|
|
|
"session-mining",
|
|
|
|
|
"llm-as-judge",
|
|
|
|
|
"rubric-scoring",
|
|
|
|
|
"transcript-analysis",
|
|
|
|
|
"skill-coverage",
|
|
|
|
|
"secret-redaction",
|
|
|
|
|
"agent-evals",
|
|
|
|
|
"engineering"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "grill-me",
|
|
|
|
|
"source": "./engineering/grill-me",
|
|
|
|
|
@ -1155,117 +1031,6 @@
|
|
|
|
|
],
|
|
|
|
|
"category": "productivity"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "roast",
|
|
|
|
|
"source": "./productivity/roast",
|
|
|
|
|
"description": "Pressure-test a business idea before you build it. Convenes a 5-angle adversarial panel — The Critic (what kills this?), The Champion (the 10x upside?), The Analyst (does the logic hold?), The Investigator (what does the market say?), The Customer (would I actually pay?) — fired in parallel as independent reviewers, then a Judge synthesizes one GO / RESHAPE / KILL verdict with explicit confidence and the cheapest 48-hour test to de-risk it. Never averages the scores: a weighted synthesizer with demand/fatal-flaw/logic veto gates produces the call, backed by deterministic stdlib tools.",
|
|
|
|
|
"version": "2.10.3",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"roast",
|
|
|
|
|
"pressure-test",
|
|
|
|
|
"stress-test",
|
|
|
|
|
"idea-validation",
|
|
|
|
|
"adversarial-panel",
|
|
|
|
|
"go-no-go",
|
|
|
|
|
"anti-sycophancy",
|
|
|
|
|
"productivity"
|
|
|
|
|
],
|
|
|
|
|
"category": "productivity"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "fable-goal",
|
|
|
|
|
"source": "./productivity/fable-goal",
|
|
|
|
|
"description": "Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Extracts deliverable/quantity/stakes/tools/destination, asks at most one question batch, verifies every named resource against the live environment, writes a 150-350 word prose prompt with the seven-part anatomy, and self-checks six binary criteria before delivering. The output is a single copy-paste prompt, never the build itself.",
|
|
|
|
|
"version": "2.11.1",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"goal-prompt",
|
|
|
|
|
"prompt-writing",
|
|
|
|
|
"autonomous-agent",
|
|
|
|
|
"prompt-engineering",
|
|
|
|
|
"fable",
|
|
|
|
|
"ramble-to-prompt",
|
|
|
|
|
"productivity"
|
|
|
|
|
],
|
|
|
|
|
"category": "productivity"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "weekly-review",
|
|
|
|
|
"source": "./productivity/weekly-review",
|
|
|
|
|
"description": "GTD weekly-review loop. Scans the workspace for open loops (unchecked boxes, TODO/FIXME, stale files), walks the three-phase GET CLEAR / GET CURRENT / GET CREATIVE checklist with a refusal gate (review is never COMPLETE while a mandatory GET CURRENT step is missing), and audits commitments for stalled / no-next-action / someday candidates with a 0-100 health score. Fills the periodic-review gap from audit/productivity-2026-07.",
|
|
|
|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"weekly-review",
|
|
|
|
|
"gtd",
|
|
|
|
|
"open-loops",
|
|
|
|
|
"review-cadence",
|
|
|
|
|
"productivity",
|
|
|
|
|
"commitments"
|
|
|
|
|
],
|
|
|
|
|
"category": "productivity"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "deep-work",
|
|
|
|
|
"source": "./productivity/deep-work",
|
|
|
|
|
"description": "Deep Work day planner. Classifies tasks deep vs shallow with a shallow-work budget verdict (plus the recent-graduate forcing question), builds a time-blocked schedule (deep blocks of 90+ minutes first, shallow batched, buffers, refuses more than 4 hours of deep demand), and logs focus sessions against a weekly deep-hours target with streaks. Fills the time/attention-management gap from audit/productivity-2026-07.",
|
|
|
|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"deep-work",
|
|
|
|
|
"time-blocking",
|
|
|
|
|
"focus",
|
|
|
|
|
"shallow-work",
|
|
|
|
|
"productivity",
|
|
|
|
|
"attention"
|
|
|
|
|
],
|
|
|
|
|
"category": "productivity"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "meetings",
|
|
|
|
|
"source": "./productivity/meetings",
|
|
|
|
|
"description": "Meeting discipline. Cost-gates every meeting before it exists (MEET / ASYNC / NOT-READY verdicts with real dollar cost incl. optional refocus overhead), builds timeboxed agendas that refuse topics without a desired outcome (decision topics first), and extracts owned action items from raw notes with ORPHAN / NO-DUE flags. Fills the meeting-hygiene gap from audit/productivity-2026-07.",
|
|
|
|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"meetings",
|
|
|
|
|
"meeting-cost",
|
|
|
|
|
"agenda",
|
|
|
|
|
"action-items",
|
|
|
|
|
"productivity",
|
|
|
|
|
"async"
|
|
|
|
|
],
|
|
|
|
|
"category": "productivity"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "swedish-mentor",
|
|
|
|
|
"source": "./productivity/swedish-mentor",
|
|
|
|
|
"description": "CEFR-leveled Swedish-learning mentor: two-question placement probe, listening-first learning paths, vetted YouTube/podcast catalog (SFI, Radio Sweden pa latt svenska, Klartext), never-invent-a-URL rule.",
|
|
|
|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "mh-mansouri"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"productivity",
|
|
|
|
|
"language-learning",
|
|
|
|
|
"swedish",
|
|
|
|
|
"cefr",
|
|
|
|
|
"sfi",
|
|
|
|
|
"mentor"
|
|
|
|
|
],
|
|
|
|
|
"category": "productivity"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "landing",
|
|
|
|
|
"source": "./marketing/landing",
|
|
|
|
|
@ -1285,28 +1050,6 @@
|
|
|
|
|
],
|
|
|
|
|
"category": "marketing"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "linkedin",
|
|
|
|
|
"source": "./marketing/linkedin",
|
|
|
|
|
"description": "Organic LinkedIn presence, end to end, with LinkedIn's own rules enforced in code. Orchestrator (context: fork) gates every request against User Agreement §8.2 — refusing automation, scraping, engagement pods, bulk DMs, fake identity and fabricated proof, each with a compliant substitute — then routes to profile / strategy / content / engagement / analytics. Headline and whole-profile scoring with fixes ranked by points per hour; positioning brief with a mandatory exclusion list; cadence priced against real hours with a 90-minute floor; newsletter eligibility + six-month sustainability gate; post linter blocking on engagement bait and screen-reader-hostile Unicode pseudo-bold; repurposing with a reuse ledger; capped commenting roster and template-refusing outreach; analytics that test patterns against a seeded permutation null and refuse to conclude below 10 posts. 17 stdlib tools, 15 references with per-claim confidence levels. No credentials, no API calls, nothing auto-sent. Answers discussion #934.",
|
|
|
|
|
"version": "2.12.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"linkedin",
|
|
|
|
|
"personal-brand",
|
|
|
|
|
"organic-growth",
|
|
|
|
|
"content-strategy",
|
|
|
|
|
"profile-optimization",
|
|
|
|
|
"outreach",
|
|
|
|
|
"newsletter",
|
|
|
|
|
"social-media",
|
|
|
|
|
"thought-leadership",
|
|
|
|
|
"career-change"
|
|
|
|
|
],
|
|
|
|
|
"category": "marketing"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "pulse",
|
|
|
|
|
"source": "./research/pulse",
|
|
|
|
|
@ -1327,25 +1070,6 @@
|
|
|
|
|
],
|
|
|
|
|
"category": "research"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "deep-research",
|
|
|
|
|
"source": "./research/deep-research",
|
|
|
|
|
"description": "Disciplined multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. 9-phase pipeline (reframe into falsifiable hypotheses, plan, capability discovery, parallel sub-agent fan-out, score & triangulate, synthesize + adversarial pass, verify, refresh targets). Triangulates every thesis against >=3 independent differently-typed sources; per-source files with verbatim quotes; never fabricates a citation. Auditable, reusable folder + delta-update refresh protocol. Contributed via PR #851.",
|
|
|
|
|
"version": "2.10.3",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"research",
|
|
|
|
|
"deep-research",
|
|
|
|
|
"meta-research",
|
|
|
|
|
"triangulation",
|
|
|
|
|
"adversarial",
|
|
|
|
|
"multi-source",
|
|
|
|
|
"hypothesis-validation"
|
|
|
|
|
],
|
|
|
|
|
"category": "research"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "litreview",
|
|
|
|
|
"source": "./research/litreview",
|
|
|
|
|
@ -1487,25 +1211,6 @@
|
|
|
|
|
],
|
|
|
|
|
"category": "research"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "deepread",
|
|
|
|
|
"source": "./research/deepread",
|
|
|
|
|
"description": "Evidence-first reading of supplied documents. Five modes (quick/deep/map/feynman/book), claim-reason-evidence decomposition, confidence labels, evidence ledger, knowledge maps, Feynman teach-back.",
|
|
|
|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "xiehuan123"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"research",
|
|
|
|
|
"reading",
|
|
|
|
|
"deep-read",
|
|
|
|
|
"feynman",
|
|
|
|
|
"knowledge-map",
|
|
|
|
|
"evidence",
|
|
|
|
|
"comprehension"
|
|
|
|
|
],
|
|
|
|
|
"category": "research"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "aeo",
|
|
|
|
|
"source": "./marketing-skill/skills/aeo",
|
|
|
|
|
@ -1550,26 +1255,6 @@
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "skillopt-sleep",
|
|
|
|
|
"source": "./engineering/skillopt-sleep",
|
|
|
|
|
"description": "Nightly offline self-evolution for this repo's Claude agent: harvests past Claude Code sessions (read-only), mines recurring tasks, replays them offline on your own API budget, and consolidates learnings into validated CLAUDE.md memory and SKILL.md skills behind a held-out gate, staged for review (never auto-applied). Verbatim vendor of microsoft/SkillOpt's stdlib-only skillopt_sleep engine + Claude Code plugin surface (MIT).",
|
|
|
|
|
"version": "1.0.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"self-improvement",
|
|
|
|
|
"memory-consolidation",
|
|
|
|
|
"skillopt",
|
|
|
|
|
"dreams",
|
|
|
|
|
"sleep",
|
|
|
|
|
"continual-learning",
|
|
|
|
|
"offline-optimization",
|
|
|
|
|
"microsoft"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "business-operations-skills",
|
|
|
|
|
"source": "./business-operations",
|
|
|
|
|
@ -1650,29 +1335,10 @@
|
|
|
|
|
],
|
|
|
|
|
"category": "commercial"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "universal-scraping-architect",
|
|
|
|
|
"source": "./engineering/universal-scraping-architect",
|
|
|
|
|
"description": "A universal scraping skill with intelligent routing, token budget tracking, and quota awareness. Supports Firecrawl (BYOK, free-tier compatible) and local Python extraction via requests/BeautifulSoup/pandas.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Mehansh Barthwal",
|
|
|
|
|
"url": "https://github.com/mehanshbarthwal-lab"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"scraping",
|
|
|
|
|
"data-extraction",
|
|
|
|
|
"firecrawl",
|
|
|
|
|
"beautifulsoup4",
|
|
|
|
|
"pandas",
|
|
|
|
|
"automation"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "research-ops-skills",
|
|
|
|
|
"source": "./research-ops",
|
|
|
|
|
"description": "Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.",
|
|
|
|
|
"description": "Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork) + clinical-research (study design: protocol synopsis + endpoint selection + sample-size/power for means/proportions/survival + phase-gate feasibility) + research-finance (R&D program budgeting with F&A split + burn/runway + capitalize-vs-expense routing + portfolio ROI) + market-research (TAM/SAM/SOM computed both top-down and bottoms-up + survey sampling with FPC and per-segment minima + Kotler segmentation scoring) + product-research (goal-matched study design + method-based saturation with confidence + insight synthesis that flags single-source anecdotes). Hard rules: clinical outputs are estimates with a named clinical owner (never fact), finance outputs surface assumptions and route capex-vs-opex to a named finance owner (never auto-decide), market sizes show method + assumptions (never a single number), product insights require recurrence across independent participants. Each sub-skill ships per-skill onboarding questions (onboard.py), a customization config consumed by every tool, and an isolated opt-in autoresearch evaluator (ar_evaluator.py) bridging to engineering/autoresearch-agent. 24 stdlib Python tools (12 analysis + 12 onboarding/customization/autoresearch), 12 reference docs. Distinct from ra-qm-team (regulatory/QM submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), marketing-skill (campaign analytics).",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
@ -1715,384 +1381,6 @@
|
|
|
|
|
"grill-with-docs"
|
|
|
|
|
],
|
|
|
|
|
"category": "research-ops"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "markdown-html-skills",
|
|
|
|
|
"source": "./markdown-html",
|
|
|
|
|
"description": "Convert long markdown files into world-class single-file interactive HTML — DOMAIN COMPLETE at v2.10.3 (5 skills). v2.10.3 adds md-slides, the slide-deck converter (arrow/Space/PgDn/Home/End/P navigation, presenter mode with clock + speaker notes + next-slide preview, URL-hash deep linking, @media print page-per-slide for browser-native PDF export; vanilla JS only; Prism.js opt-in via --syntax). Joins md-review (v2.10.2 code-review converter: 2-col diff, severity-tagged margin annotations, WCAG-1.4.1 badges, named reviewer footer), md-document (v2.10.1 long-form: sticky TOC, scrollspy, search, code-copy, Prism autoloader), markdown-html-orchestrator (v2.10.0 context: fork; deterministic doc-type classifier), and design-system (v2.10.0 onboarding wizard; WCAG-AA 12-token palette). 15 stdlib-only Python tools, 15 references, 4 template assets. Inspired by Thariq Shihipar's Claude Code HTML output essay.",
|
|
|
|
|
"version": "2.10.3",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"markdown",
|
|
|
|
|
"html",
|
|
|
|
|
"documentation",
|
|
|
|
|
"code-review",
|
|
|
|
|
"slides",
|
|
|
|
|
"design-system",
|
|
|
|
|
"single-file-html",
|
|
|
|
|
"brand-palette",
|
|
|
|
|
"wcag",
|
|
|
|
|
"onboarding",
|
|
|
|
|
"customization",
|
|
|
|
|
"shihipar",
|
|
|
|
|
"matt-pocock",
|
|
|
|
|
"grill-with-docs",
|
|
|
|
|
"context-fork"
|
|
|
|
|
],
|
|
|
|
|
"category": "documentation"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "youtube-full",
|
|
|
|
|
"source": "./marketing-skill/skills/youtube-full",
|
|
|
|
|
"description": "YouTube transcripts, video search, channel browsing, playlist extraction, and upload monitoring via TranscriptAPI. BYOK — 100 free credits. OSS fallbacks: youtube-transcript-api / yt-dlp.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "therohitdas"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"youtube",
|
|
|
|
|
"transcript",
|
|
|
|
|
"video",
|
|
|
|
|
"channel",
|
|
|
|
|
"playlist",
|
|
|
|
|
"search",
|
|
|
|
|
"content-monitoring",
|
|
|
|
|
"marketing",
|
|
|
|
|
"transcriptapi"
|
|
|
|
|
],
|
|
|
|
|
"category": "marketing"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "compliance-os",
|
|
|
|
|
"source": "./compliance-os",
|
|
|
|
|
"description": "Compliance OS — meta-orchestrator for multi-framework compliance programs spanning 9 frameworks (ISO 27001, ISO 13485, ISO 42001, ISO 14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR). Framework selector, cross-framework control mapper, audit simulator, and consolidated evidence-pool generator (stdlib Python), plus 3 cs-* compliance agents and 3 /cs:* readiness commands.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"compliance",
|
|
|
|
|
"iso-27001",
|
|
|
|
|
"iso-42001",
|
|
|
|
|
"eu-ai-act",
|
|
|
|
|
"gdpr",
|
|
|
|
|
"soc2",
|
|
|
|
|
"audit",
|
|
|
|
|
"evidence",
|
|
|
|
|
"framework-mapping"
|
|
|
|
|
],
|
|
|
|
|
"category": "compliance"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "snowflake-development",
|
|
|
|
|
"source": "./engineering-team/snowflake-development",
|
|
|
|
|
"description": "Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, reference guides, and troubleshooting.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"snowflake",
|
|
|
|
|
"sql",
|
|
|
|
|
"data-pipelines",
|
|
|
|
|
"snowpark",
|
|
|
|
|
"dbt",
|
|
|
|
|
"cortex",
|
|
|
|
|
"data-warehouse"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "behuman",
|
|
|
|
|
"source": "./engineering/behuman",
|
|
|
|
|
"description": "Self-Mirror consciousness loop for human-like AI responses. Adds inner dialogue (Self → Mirror → Conscious Response) to make AI output feel authentic, not robotic. Zero dependencies — pure prompt technique.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"prompting",
|
|
|
|
|
"voice",
|
|
|
|
|
"authenticity",
|
|
|
|
|
"self-mirror",
|
|
|
|
|
"writing"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "claude-coach",
|
|
|
|
|
"source": "./engineering/claude-coach",
|
|
|
|
|
"description": "Personal Claude power-user coach. Delivers a personalized, ranked cheat-code glossary on first activation, then surfaces at most one tip per turn when it would genuinely improve the next attempt. Ships cheat-codes glossary, coaching-rules decision tree, three stdlib Python tools, cs-claude-coach agent, and /cs:claude-coach command.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"claude-code",
|
|
|
|
|
"coaching",
|
|
|
|
|
"power-user",
|
|
|
|
|
"tips",
|
|
|
|
|
"productivity"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "grill-with-docs",
|
|
|
|
|
"source": "./engineering/grill-with-docs",
|
|
|
|
|
"description": "Docs-anchored grilling session — interrogates a plan against the project's existing language (CONTEXT.md) and recorded decisions (docs/adr/), updating those files inline as terminology and decisions crystallise. Derived from Matt Pocock's MIT-licensed grill-with-docs with stdlib validators (CONTEXT.md linter, ADR scanner, glossary-code consistency), reference docs, cs-grill-with-docs agent, and /cs:grill-with-docs command.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"planning",
|
|
|
|
|
"adr",
|
|
|
|
|
"context",
|
|
|
|
|
"ubiquitous-language",
|
|
|
|
|
"interrogation",
|
|
|
|
|
"matt-pocock"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "llm-cost-optimizer",
|
|
|
|
|
"source": "./engineering/llm-cost-optimizer",
|
|
|
|
|
"description": "Cut LLM API spend via model routing, prompt caching, prompt compression, and per-feature cost observability. Use when AI costs are too high, choosing between models, or launching an AI feature without cost architecture. NOT for RAG design or prompt quality (separate skills).",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"llm",
|
|
|
|
|
"cost-optimization",
|
|
|
|
|
"token-usage",
|
|
|
|
|
"model-routing",
|
|
|
|
|
"prompt-caching",
|
|
|
|
|
"observability"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "prompt-governance",
|
|
|
|
|
"source": "./engineering/prompt-governance",
|
|
|
|
|
"description": "Manage prompts in production at scale: prompt versioning, A/B testing, prompt registries, regression prevention, and eval pipelines for production AI features. NOT for writing individual prompts, RAG design, or cost reduction (separate skills).",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"prompts",
|
|
|
|
|
"versioning",
|
|
|
|
|
"ab-testing",
|
|
|
|
|
"registry",
|
|
|
|
|
"evals",
|
|
|
|
|
"regression",
|
|
|
|
|
"production-ai"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "business-investment-advisor",
|
|
|
|
|
"source": "./finance/business-investment-advisor",
|
|
|
|
|
"description": "Business investment analysis and capital allocation advisor. Evaluates equipment, real estate, new-business, hiring, and technology investments with ROI, IRR, NPV, payback period, build-vs-buy, lease-vs-buy, and vendor evaluation frameworks for allocating limited budget.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"investment",
|
|
|
|
|
"capital-allocation",
|
|
|
|
|
"roi",
|
|
|
|
|
"irr",
|
|
|
|
|
"npv",
|
|
|
|
|
"build-vs-buy",
|
|
|
|
|
"finance"
|
|
|
|
|
],
|
|
|
|
|
"category": "finance"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "video-content-strategist",
|
|
|
|
|
"source": "./marketing-skill/video-content-strategist",
|
|
|
|
|
"description": "Video content strategy: video scripts, YouTube channel optimization and SEO, short-form video pipelines (Reels, TikTok, Shorts), and repurposing long-form content into video. NOT for written blog content or caption-only social posts (separate skills).",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"video",
|
|
|
|
|
"youtube",
|
|
|
|
|
"short-form",
|
|
|
|
|
"scripts",
|
|
|
|
|
"content-strategy",
|
|
|
|
|
"tiktok",
|
|
|
|
|
"reels"
|
|
|
|
|
],
|
|
|
|
|
"category": "marketing"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "compliance-team-eu-ai-act",
|
|
|
|
|
"source": "./ra-qm-team/compliance-team-eu-ai-act",
|
|
|
|
|
"description": "EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist: AI system risk classifier (Articles 5/6/50 + Annex III), conformity assessment planner (Article 43 + Annex IV checklist), and obligation tracker (provider/deployer/importer/distributor + GPAI Articles 51-55). Article-level references and cross-framework mapping to ISO 42001, NIST AI RMF, GDPR. Stdlib-only.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"eu-ai-act",
|
|
|
|
|
"compliance",
|
|
|
|
|
"risk-classification",
|
|
|
|
|
"conformity-assessment",
|
|
|
|
|
"gpai",
|
|
|
|
|
"ai-regulation"
|
|
|
|
|
],
|
|
|
|
|
"category": "compliance"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "compliance-team-iso42001",
|
|
|
|
|
"source": "./ra-qm-team/compliance-team-iso42001",
|
|
|
|
|
"description": "ISO/IEC 42001:2023 AI Management System (AIMS) specialist: AIMS gap analyzer (Clauses 4-10 coverage + remediation priority), AI risk register builder (Annex A 38 controls per ISO 23894), and AIMS audit scheduler (Clause 9.2 cadence + auditor independence). Cross-framework mapping to EU AI Act, NIST AI RMF, ISO 23894. Stdlib-only.",
|
|
|
|
|
"version": "2.9.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"iso-42001",
|
|
|
|
|
"aims",
|
|
|
|
|
"ai-governance",
|
|
|
|
|
"risk-register",
|
|
|
|
|
"internal-audit",
|
|
|
|
|
"compliance"
|
|
|
|
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],
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"category": "compliance"
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},
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{
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"name": "collab-proof",
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"source": "./engineering/collab-proof",
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"description": "Assisted retrospective: after a session, calibrates what Claude contributed vs what the developer drove. LLM-assessed 4-frame analysis with explicit rubric, zero dependencies.",
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"version": "1.0.0",
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"author": {
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"name": "dong7812",
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"url": "https://github.com/dong7812"
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},
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"keywords": [
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"ai-collaboration",
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"session-retrospective",
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"git-analysis",
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"decision-logging",
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"collab-proof"
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],
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"category": "engineering"
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},
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{
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"name": "human-gate",
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"source": "./engineering/human-gate",
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"description": "Human-verification gate for an agent loop: builds a single-file review page (the page itself makes no network request; a reviewed HTML artifact's own https: assets still load), collects batched feedback as structured batch.v1 data instead of chat prose, and refuses to close while a BLOCKER is open, the reviewer is unnamed, or nobody has reviewed. Non-blocking, headless-guarded, round-capped. Stdlib-only.",
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"version": "1.0.0",
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"author": {
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"name": "Alireza Rezvani",
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"url": "https://alirezarezvani.com"
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},
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"keywords": [
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"human-in-the-loop",
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"review-gate",
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"sign-off",
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"agent-loop",
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"verification",
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|
"batched-feedback",
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"human-gate"
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],
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"category": "engineering"
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|
},
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|
{
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|
"name": "agent-launcher-skills",
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|
"source": "./agent-launcher",
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|
"description": "Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs:goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).",
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|
"version": "2.11.2",
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|
"author": {
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|
|
|
|
"name": "Alireza Rezvani"
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|
},
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|
"keywords": [
|
|
|
|
|
"claude-managed-agents",
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"cma",
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|
"agent-launcher",
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|
|
"launch-your-agent",
|
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|
|
"managed-agent",
|
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|
|
"session-goal",
|
|
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|
|
"grade-iterate",
|
|
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|
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"max-iterations",
|
|
|
|
|
"scheduled-deployment",
|
|
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|
|
"run-without-you",
|
|
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|
|
"byok",
|
|
|
|
|
"build-sheet",
|
|
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|
|
"context-fork"
|
|
|
|
|
],
|
|
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|
|
"category": "agent-development"
|
|
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|
|
},
|
|
|
|
|
{
|
|
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|
"name": "agent-memory",
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"source": "./engineering/agent-memory",
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|
"description": "A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs:memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code included.",
|
|
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|
|
"version": "2.11.2",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"agent-memory",
|
|
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|
|
"memory-tiers",
|
|
|
|
|
"claude-md",
|
|
|
|
|
"hooks",
|
|
|
|
|
"session-memory",
|
|
|
|
|
"promotion-gates",
|
|
|
|
|
"provenance",
|
|
|
|
|
"redaction",
|
|
|
|
|
"engineering"
|
|
|
|
|
],
|
|
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|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "spinning-up-deep-rl",
|
|
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|
|
"source": "./engineering/spinning-up-deep-rl",
|
|
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|
|
"description": "Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs:spinning-up-deep-rl. Structured study notes, not a reproduction of the source.",
|
|
|
|
|
"version": "1.0.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"knowledge-base",
|
|
|
|
|
"book-to-skill",
|
|
|
|
|
"reinforcement-learning",
|
|
|
|
|
"deep-rl",
|
|
|
|
|
"policy-gradient",
|
|
|
|
|
"ppo",
|
|
|
|
|
"sac",
|
|
|
|
|
"td3",
|
|
|
|
|
"openai-spinning-up",
|
|
|
|
|
"engineering"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "deep-learning-book",
|
|
|
|
|
"source": "./engineering/deep-learning-book",
|
|
|
|
|
"description": "Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.",
|
|
|
|
|
"version": "2.12.0",
|
|
|
|
|
"author": {
|
|
|
|
|
"name": "Alireza Rezvani"
|
|
|
|
|
},
|
|
|
|
|
"keywords": [
|
|
|
|
|
"deep-learning",
|
|
|
|
|
"machine-learning",
|
|
|
|
|
"study-companion",
|
|
|
|
|
"goodfellow",
|
|
|
|
|
"neural-networks",
|
|
|
|
|
"training-diagnostics",
|
|
|
|
|
"optimization",
|
|
|
|
|
"generative-models",
|
|
|
|
|
"engineering"
|
|
|
|
|
],
|
|
|
|
|
"category": "development"
|
|
|
|
|
}
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
|