Product management skills plugin for Claude Code — discovery synthesis, user research design, opportunity mapping, PRD authoring, prioritization, metrics analysis, engagement design, and validation.
claude --plugin-dir ./prepkit-productOr install from GitHub:
# Inside Claude Code
/plugin marketplace add namht1st/prepkit-product
/plugin install prepkit-product| Skill | Description |
|---|---|
| product-discovery-synthesis | Problem framing, JTBD synthesis, evidence-quality checks, and opportunity shaping during product discovery |
| product-user-interview-design | Designing qualitative research packages: interview type, participant targeting, screener, guide, synthesis plan |
| product-opportunity-mapping | Turning discovery evidence into pursue, monitor, or defer opportunity decisions with dependencies and revisit triggers |
| product-prd-authoring | Evidence-linked requirements, explicit non-goals, Given/When/Then acceptance scenarios, and engineering-ready PRDs |
| product-prioritization | Scoring candidate slices with RICE, MoSCoW, or ICE frameworks once opportunity and metric context are explicit |
| product-metrics-analysis | Outcome-based success metrics, baseline and target checks, leading indicators, and counter-metric validation |
| product-engagement-design | Habit loops, progression systems, gamification, behavioral nudges, freemium funnel design, and PLG conversion flows |
| product-validation | Evidence-quality diagnosis, validation-method selection, and advisory next-step labels before product work moves forward |
| product-facilitation | Structured intake, shared product-context state, and single authority for next-step routing across product workflows |
/prepkit-product:product-review-strategy— Review product artifacts for evidence quality, routing fit, specification rigor, opportunity decisions, and prioritization discipline
- product-strategy-reviewer — Specialized subagent for reviewing product artifacts across discovery, specification, and prioritization
Each skill follows a structured product methodology:
- Evidence grading — Every skill checks evidence quality before proceeding (A: validated, B: partial, C: assumed)
- Quality gates — Output is validated against product quality gates (see
references/product-quality-gates.md) - Chain position — Skills declare their position in the product workflow chain, so Claude routes between them correctly
- Standalone operation — Skills work independently without requiring PrepKit runtime
MIT