Deepens the 54 PM skills from "documentation" to "tools you can actually
use today." Three coordinated additions:
1. WORKED EXAMPLES (~13,000 lines across 54 files)
Every PM skill now has examples/<scenario>.md with a realistic
company, the workflow applied, and the FULL generated artifact PMs
can copy. Recurring fictional cast (Acme Analytics, Wayfinder,
Northwind, Helix Platform, Pylon) makes scenarios cross-reference
naturally. Highlights: full 8-section PRD for "Shared Dashboards",
AI PRD with eval/guardrails/model-fallback, blameless RCA for a
47-min payment outage, weekly Yellow-status exec update, 8-interview
synthesis to opportunity tree, full Stripe CIRCLES answer.
2. LIVE DATA ADAPTERS (tools/adapters/)
Three stdlib-only scripts that pull from real APIs and emit JSON
in the shape PM Python tools expect. Removes the "first get the
data" friction.
- jira_to_json.py -> raw / status-update / cycle-time / dependency-map
- linear_to_json.py -> raw / status-update / cycle-time / dependency-map
- notion_to_json.py -> raw / prds / okrs / roadmap / feedback
Auth via env vars (JIRA_TOKEN, LINEAR_API_KEY, NOTION_TOKEN).
Pipe directly into the consuming PM tool:
jira_to_json.py --format cycle-time | flow_metrics.py --input -
3. MCP TOOLS (scripts/mcp_server.py)
15 PM skills wrapped as Claude Code MCP tools, callable from inside
any AI conversation without manually running Python. Each accepts
`format` and `input`. Names: pm_create_prd, pm_status_update,
pm_funnel_analyze, pm_flow_metrics, pm_dependency_map,
pm_feedback_triage, pm_nsm_tree, pm_refinement_score,
pm_interview_synthesize, pm_prioritize, pm_okr_validate,
pm_roadmap_transform, pm_pre_mortem, pm_release_notes,
pm_stakeholder_map. Smoke-tested end-to-end through JSON-RPC.
PM README updated with new sections for adapters and MCP. CHANGELOG
[4.5.0] entry added.
Brian Borghei