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New - pm-ai-shipping (9th plugin) — AI Shipping Kit: document a vibe-coded app, audit security/performance against intended behavior, map test coverage, and compile a reviewer-ready shipping packet (2 skills, 5 commands). - pm-execution: strategy-red-team skill + /red-team-prd command (now 16 skills, 11 commands). Changed - Bump all versions 1.0.1 -> 2.0.0 (marketplace.json + all 9 plugin.json) in lockstep. - README: new plugins.png hero + examples.png in "How It Works"; counts updated to 9 plugins / 68 skills / 42 commands across tagline, install block, and per-plugin sections. - CLAUDE.md: 9-plugin structure, plugin table, and version note updated. Validator: 9 plugins, 68 skills, 42 commands, 110 components, 0 warnings. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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