Deep audit of both domains against the AR v1 agentic-readiness rubric (audit/pm-product-agentic-2026-07/: master + per-domain reports + research-backed improvement fields + research digest), plus the harness layer the audit motivated: - pm-skills rebuilt as a context:fork orchestrator with an agentic delivery loop: pm_goal_router.py (8 lanes, exit-code route/ask/refuse), jira_snapshot_bridge.py (searchJiraIssuesUsingJql output -> Kanban Guide 2025 flow metrics with SLE + aging-WIP alerts + seeded Monte Carlo forecasts, or scrum-master sprint schema — verified end-to-end into velocity_analyzer.py), delivery_loop_gate.py (G1-G6 delegation governance: human owner, reviewer for agent tasks, machine-checkable acceptance, evidence-before-done, close refusal, exhausted-budget-is-escalation). - product-skills rebuilt as a context:fork orchestrator with the continuous-discovery loop: product_goal_router.py (16 lanes incl. standalone plugins), discovery_cadence_tracker.py (Torres weekly-habit health 0-100 with named gaps), ost_linter.py (O1-O5 Opportunity Solution Tree structural gates). - 6 new references citing 6-7 sources each (flow/forecasting canon, agentic delivery governance, PM loop playbook, continuous discovery, product operating model, AI product evals); pinned fixtures (expected_flow_metrics.json, sample OST/log). - cs-pm-orchestrator + cs-product-orchestrator agents; /cs:pm, /cs:grill-pm, /cs:pm-loop, /cs:product, /cs:grill-product, /cs:product-loop commands. - Fixed the two CLI-noncompliant product tools (user_story_generator.py, persona_generator.py): real argparse --help, seeded determinism, backward-compatible positionals. - Regenerated agent-harness manifests for both domains (orchestrators now score all five agentic_signals); updated domain CLAUDE.mds, plugin manifests (2.10.4), marketplace entries, and headline counters (602 tools / 731 references / 99 agents / 109 commands; derive_counters --check passes). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019Uzm8dKoeXPayJVMojpSbw
8.8 KiB
Project Management Skills - Claude Code Guidance
This guide covers the 9 production-ready project management skills, 15 Python automation tools, and bundled Atlassian Remote MCP integration (.mcp.json ships with the plugin — OAuth handled by Claude Code, no env vars required).
PM Skills Overview
Available Skills:
- pm-skills/ - Domain orchestrator (
context: fork) + agentic delivery loop (3 scripts: goal router, Jira snapshot bridge, delivery loop gate) - senior-pm/ - Portfolio health, risk analysis, resource planning (3 scripts)
- scrum-master/ - Sprint health, velocity forecasting, retrospectives (3 scripts)
- jira-expert/ - JQL building, workflow validation (2 scripts)
- confluence-expert/ - Space structure, content auditing (2 scripts)
- atlassian-admin/ - Permission auditing (1 script)
- atlassian-templates/ - Template scaffolding (1 script)
- meeting-analyzer/ - Meeting transcript behavioral analysis (prompt-driven; scripts are follow-up work)
- team-communications/ - 3P updates, newsletters, FAQs (reference-driven)
Total Tools: 15 Python automation tools Agents: 2 — cs-pm-orchestrator (routing + delivery loop) and cs-project-manager (legacy per-skill orchestration) Slash Commands: 6 (/cs:pm, /cs:grill-pm, /cs:pm-loop, /sprint-health, /project-health, /retro) Key Feature: Atlassian MCP Server integration for direct Jira/Confluence operations
Orchestrator & Delivery Loop (pm-skills)
skills/pm-skills/ is the domain's context: fork orchestrator and agent harness adapter:
# Route a PM goal deterministically (exit 0 route / 2 ask / 3 no signal)
python3 skills/pm-skills/scripts/pm_goal_router.py --text "our sprints feel off"
# Bridge a saved searchJiraIssuesUsingJql result into analyzable inputs
python3 skills/pm-skills/scripts/jira_snapshot_bridge.py --input snapshot.json --to flow --forecast 20
python3 skills/pm-skills/scripts/jira_snapshot_bridge.py --input snapshot.json --to sprint > sprint_data.json
python3 skills/scrum-master/scripts/velocity_analyzer.py sprint_data.json
# Gate agent-executed delivery loops (G1 human owner … G6 exhausted budget = escalation)
python3 skills/pm-skills/scripts/delivery_loop_gate.py --plan plan.json --mode plan # exit 2 = blocked
python3 skills/pm-skills/scripts/delivery_loop_gate.py --plan plan.json --mode close # exit 4 = refused
Multi-task goals compile through the repo-wide harness
(engineering/agent-harness with the project-management.json manifest). Hard rules:
agents contribute, humans own; forecasts are Monte Carlo ranges, never dates; exhausted
budgets escalate — never reported as success. The five reusable PM loops (sprint-flow,
health, retro-action, RAID-hygiene, comms) are documented in
skills/pm-skills/references/pm_loop_playbook.md.
Atlassian MCP Integration
Purpose: Direct integration with Jira and Confluence via Model Context Protocol (MCP)
Canonical tool list: references/atlassian-mcp-tools.md — the single source of truth for real tool names. Never invent tool names; if a capability isn't in that list (project creation, sprint management, field configuration, automation rules, space creation, …), it is NOT available via MCP — use the Atlassian web UI or REST API.
Capabilities (real tools, camelCase):
- Jira issues:
createJiraIssue,getJiraIssue,editJiraIssue,searchJiraIssuesUsingJql,transitionJiraIssue,addCommentToJiraIssue,createIssueLink - Confluence pages:
createConfluencePage,getConfluencePage,updateConfluencePage,searchConfluenceUsingCql,getConfluencePageDescendants - Discovery:
getAccessibleAtlassianResources(getcloudIdfirst),getVisibleJiraProjects,getConfluenceSpaces
Setup: Bundled .mcp.json registers the atlassian SSE server; tools surface as mcp__atlassian__<toolName>.
Usage Pattern:
# Jira: create an issue (call getAccessibleAtlassianResources first to obtain cloudId)
mcp__atlassian__createJiraIssue (cloudId, projectKey="PROJ", issueTypeName="Story", summary="New feature")
# Confluence: create a page (body must be storage-format XHTML or ADF, not wiki markup)
mcp__atlassian__createConfluencePage (cloudId, space, title="Sprint Retrospective", body=<storage-format XHTML>)
Not available via MCP (use web UI/REST API): project creation, sprints, boards, filters, space creation, page deletion, labels, field/workflow/permission configuration, user provisioning, automation rules.
Skill-Specific Guidance
Senior PM (senior-pm/)
Focus: Project planning, stakeholder management, risk mitigation
Key Workflows:
- Project charter creation
- Stakeholder analysis and communication plans
- Risk register maintenance
- Status reporting and escalation
Scrum Master (scrum-master/)
Focus: Agile ceremonies, team coaching, impediment removal
Key Workflows:
- Sprint planning facilitation
- Daily standup coordination
- Sprint retrospectives
- Backlog refinement
Jira Expert (jira-expert/)
Focus: Jira configuration, custom workflows, automation rules
Scripts:
scripts/jql_query_builder.py— Pattern-matching JQL builder from natural languagescripts/workflow_validator.py— Validates workflow definitions for anti-patterns
Key Workflows:
- Workflow customization
- Automation rule creation
- Board configuration
- JQL query optimization
Confluence Expert (confluence-expert/)
Focus: Documentation strategy, templates, knowledge management
Scripts:
scripts/space_structure_generator.py— Generates space hierarchy from team descriptionscripts/content_audit_analyzer.py— Analyzes page inventory for stale/orphaned content
Key Workflows:
- Space architecture design
- Template library creation
- Documentation standards
- Search optimization
Atlassian Admin (atlassian-admin/)
Focus: Suite administration, user management, integrations
Scripts:
scripts/permission_audit_tool.py— Analyzes permission schemes for security gaps
Key Workflows:
- User provisioning and permissions
- SSO/SAML configuration
- App marketplace management
- Performance monitoring
Atlassian Templates (atlassian-templates/)
Focus: Ready-to-use templates for common PM tasks
Scripts:
scripts/template_scaffolder.py— Generates Confluence storage-format XHTML templates
Available Templates:
- Sprint planning template
- Retrospective formats (Start-Stop-Continue, 4Ls, Mad-Sad-Glad)
- Project charter
- Risk register
- Decision log
Integration Patterns
Pattern 1: Sprint Planning
# 1. Create the sprint in the Jira board UI (sprint creation is NOT available via MCP —
# use Jira Software UI or REST /rest/agile/1.0/sprint)
# 2. Generate user stories (product-team integration)
python ../product-team/agile-product-owner/scripts/user_story_generator.py sprint 30
# 3. Import stories to Jira via MCP: one mcp__atlassian__createJiraIssue call per story
# (cloudId, projectKey, issueTypeName="Story", summary, description)
Pattern 2: Documentation Workflow
# 1. Scaffold storage-format XHTML, then create the Confluence page via MCP
python skills/atlassian-templates/scripts/template_scaffolder.py meeting-notes
# → pass the emitted markup as the body of mcp__atlassian__createConfluencePage
# 2. Link the page to a Jira issue: paste the page URL into the issue via
# mcp__atlassian__editJiraIssue or as a comment via mcp__atlassian__addCommentToJiraIssue
# (read existing links with mcp__atlassian__getJiraIssueRemoteIssueLinks)
Python Automation Tools
New Scripts (Phase 2)
# JQL from natural language
python jira-expert/scripts/jql_query_builder.py "high priority bugs assigned to me"
# Validate Jira workflow
python jira-expert/scripts/workflow_validator.py workflow.json
# Generate Confluence space structure
python confluence-expert/scripts/space_structure_generator.py team_info.json
# Audit Confluence content health
python confluence-expert/scripts/content_audit_analyzer.py pages.json
# Audit Atlassian permissions
python atlassian-admin/scripts/permission_audit_tool.py permissions.json
# Scaffold Confluence templates
python atlassian-templates/scripts/template_scaffolder.py meeting-notes
Additional Resources
- Installation Guide:
INSTALLATION_GUIDE.txt - Implementation Summary:
IMPLEMENTATION_SUMMARY.md - Real-World Scenario:
REAL_WORLD_SCENARIO.md - PM Overview:
README.md - Main Documentation:
../CLAUDE.md
Last Updated: July 3, 2026
Skills Deployed: 9/9 PM skills production-ready (pm-skills is now a fork-orchestrator + delivery loop)
Total Tools: 15 Python automation tools
Agents: cs-pm-orchestrator, cs-project-manager | Commands: 6
Integration: Atlassian Remote MCP Server (bundled via .mcp.json) for Jira/Confluence automation