mirror of https://github.com/alirezarezvani/claude-skills.git synced 2026-08-28 04:24:58 +00:00

docs(site): generate agent-launcher pages (18th domain) + nav

generate-docs.py learns the agent-launcher domain (5 hardcoded maps extended);
regenerated docs tree: 343 skill pages / 96 agent pages / 122 command pages
(561 total). mkdocs.yml nav gains the Agent Launcher skill section (7 pages),
4 cs-agent-* agent entries, and 8 /cs:* command entries; all nav targets verified
to exist.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012FwXG6TqCXKZQvF4iD69cv

2026-08-24 17:26:12 +00:00

2.1 KiB

Raw Blame History

title	description
/cs-product — Slash Command for AI Coding Agents	Top-level product-team router. Classifies a product inquiry across 16 lanes (prioritization, OKRs, UX, design system, competitive, analytics. Slash command for Claude Code, Codex CLI, Gemini CLI.

/cs-product

:material-console: Slash Command :material-github: Source

Route this inquiry through the product-skills orchestrator:

$ARGUMENTS

Routing (deterministic — run the script, don't eyeball)

python3 product-team/skills/product-skills/scripts/product_goal_router.py --text "$ARGUMENTS" --output json

Exit 0 → load skill_path/SKILL.md (covers the 4 standalone plugins too) and follow that skill's own workflow in a fork.
Exit 2 → ask ONE clarifying question naming the listed candidates, recommended answer first.
Exit 3 → ask the user to restate the goal with the deliverable named. Never guess.
Explore the workspace first — an ost.json, discovery_log.json, or features.csv resolves the lane silently. Never silently chain a second sub-skill.

Output (≤200-word digest)

What was analyzed
Top 3 findings, each anchored to a canon citation
Top 3 next actions with a named owner
Artifact path
One grill challenge (e.g. "This roadmap cites an OST that fails the linter — which opportunity backs item 3?")

Hard rules

Insights carry participant counts; singletons are anecdotes.
Experiments carry computed sample size + MDE, never gut feel.
Prioritization names its framework (RICE / WSJF / opportunity score) and why.
AI features get an eval spec (golden set + rubric + guardrails) in the PRD.
Recurring discovery work goes to /cs:product-loop instead.

Distinct from

project-management — how to deliver. This domain is what to build.
marketing/landing — from-scratch marketing pages; landing-page-generator here scaffolds product Next.js/TSX pages.

2.1 KiB Raw Blame History