mirror of https://github.com/phuryn/pm-skills.git synced 2026-07-22 20:40:57 +03:00

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Claude 18468a95b4 Release v2.1.0: Opus 4.8-tuned pm-ai-shipping audits + CHANGELOG-driven release automation

pm-ai-shipping: mandatory Evidence citations verified before reporting,
concrete subagent fan-out contract, read-only allowed-tools on both audits,
N+1/waterfall detection and a refute pass in the performance audit,
untrusted-input hardening across the kit, parallel audits in /ship-check,
severity anchors + report consolidation, repo-relative paths.

Repo: CHANGELOG.md as release source of truth with auto-tag-and-release on
merge to main (adapted from phuryn/claude-usage, minus the .vsix build),
Tests workflow on every PR/push, unit + docs-consistency test suite,
contributor-credit conventions in CONTRIBUTING, all manifests synced at 2.1.0.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011URgT9hYuNrXeCvzjnqRxJ

2026-07-03 13:34:34 +02:00

.claude-plugin

Release v2.1.0: Opus 4.8-tuned pm-ai-shipping audits + CHANGELOG-driven release automation

2026-07-03 13:34:34 +02:00

commands

v1.0

2026-03-02 00:36:23 +01:00

skills

Improve skill discoverability

2026-03-03 08:38:42 +01:00

README.md

Updated metadata, added Product Strategy Canvas, Startup Canvas, Value Proposition Template

2026-03-02 08:26:37 +01:00

README.md

pm-market-research

Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.

Skills (7)

competitor-analysis — Analyze competitors with strengths, weaknesses, and differentiation opportunities.
customer-journey-map — Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities.
market-segments — Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis.
market-sizing — Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches.
sentiment-analysis — Analyze user feedback data to identify market segments with sentiment scores, JTBD, and product satisfaction insights.
user-personas — Create refined user personas from research data.
user-segmentation — Segment users from feedback data based on behavior, JTBD, and needs.

Commands (3)

/pm-market-research:analyze-feedback — Analyze user feedback at scale — sentiment analysis, theme extraction, and segment-level insights.
/pm-market-research:competitive-analysis — Analyze the competitive landscape — identify competitors, compare strengths and weaknesses, find differentiation opportunities.
/pm-market-research:research-users — Comprehensive user research — build personas, segment users, and map the customer journey from research data.

Author

Paweł Huryn — The Product Compass Newsletter

License

MIT