prepkit-product
Product management skills for Claude Code. Gives Claude structured methodologies for discovery synthesis (JTBD, empathy mapping, journey map
Open source Open in the app JSON README (API)
About
Product management skills for Claude Code. Gives Claude structured methodologies for discovery synthesis (JTBD, empathy mapping, journey mapping), user research design (interview guides, screeners, synthesis plans), opportunity mapping (pursue/monitor/defer decisions), PRD authoring (evidence-linked requirements, Given/When/Then scenarios), prioritization (RICE, MoSCoW, ICE scoring), metrics analysis (North Star, metric trees, HEART framework), engagement design (habit loops, gamification, PLG flows), and validation (evidence grading, cheapest-next-evidence routing). Each skill enforces evidence quality gates and chains into the next logical product step.
Details
- Kind
- Plugins
- Topic
- Cloud & DevOps
- Publisher
- namht1st
- Origin
- marketplace
- Category
- ferramentas
- Stars
- 2
- Last push
- 2026-04-05T05:17:35Z
- Repository state
- ativo
- License
- MIT
- Added
- 2026-08-30 01:48:58
- Updated
- 2026-08-30 01:48:58
- Origin id
namht1st/prepkit-product/prepkit-product
README
# prepkit-product Product management skills plugin for Claude Code — discovery synthesis, user research design, opportunity mapping, PRD authoring, prioritization, metrics analysis, engagement design, and validation. ## Installation ```bash claude --plugin-dir ./prepkit-product ``` Or install from GitHub: ```bash # Inside Claude Code /plugin marketplace add namht1st/prepkit-product /plugin install prepkit-product ``` ## Skills | 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 | ## Command - `/prepkit-product:product-review-strategy` — Review product artifacts for evidence quality, routing fit, specification rigor, opportunity decisions, and prioritization discipline ## Agent - **product-strategy-reviewer** — Specialized subagent for reviewing product artifacts across discovery, specification, and prioritization ## How It Works 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 ## License MIT