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Claude
18468a95b4
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
pm-product-discovery
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
Skills (13)
- analyze-feature-requests — Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk.
- brainstorm-experiments-existing — Design experiments to test assumptions for an existing product.
- brainstorm-experiments-new — Design lean startup experiments (pretotypes) for a new product.
- brainstorm-ideas-existing — Brainstorm product ideas for an existing product using multi-perspective ideation (PM, Designer, Engineer).
- brainstorm-ideas-new — Brainstorm feature ideas for a new product in initial discovery.
- identify-assumptions-existing — Identify risky assumptions for a feature idea in an existing product across Value, Usability, Viability, and Feasibility.
- identify-assumptions-new — Identify risky assumptions for a new product idea across 8 risk categories including Go-to-Market, Strategy, and Team.
- interview-script — Create a structured customer interview script with JTBD probing questions, warm-up, core exploration, and wrap-up sections.
- metrics-dashboard — Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds.
- opportunity-solution-tree — Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments.
- prioritize-assumptions — Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each.
- prioritize-features — Prioritize a backlog of feature ideas based on impact, effort, risk, and strategic alignment.
- summarize-interview — Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items.
Commands (5)
/pm-product-discovery:brainstorm— Brainstorm product ideas or experiments from PM, Designer, and Engineer perspectives — for existing or new products./pm-product-discovery:discover— Run a full product discovery cycle — from ideation through assumption mapping to experiment design./pm-product-discovery:interview— Prepare a customer interview script or summarize an interview transcript into structured insights./pm-product-discovery:setup-metrics— Design a product metrics dashboard with North Star metric, input metrics, health metrics, and alert thresholds./pm-product-discovery:triage-requests— Analyze, categorize, and prioritize a batch of feature requests from customers or stakeholders.
Author
Paweł Huryn — The Product Compass Newsletter
License
MIT