Product skills for AI agents — discovery, strategy, prioritization, and PRD writing
npx claudepluginhub assimovt/productskills16 product management skills for PMs and founders: user interviews, PRD writing, scope cutting, feature prioritization, positioning, strategy, metrics, and more
Share bugs, ideas, or general feedback.
AI agent skills for product management — discovery, strategy, prioritization, and PRD writing. Built for PMs and founders who use AI coding agents to ship faster.
Every skill encodes a real framework (Mom Test, Shape Up, Obviously Awesome, Teresa Torres) as opinionated, actionable instructions. 50-150 lines each. No fluff.
Built by Tair Asim. Contributions welcome! Found a way to improve a skill or have a new one to add? Open a PR.
# Install all skills
npx skills add assimovt/productskills
# Install specific skills
npx skills add assimovt/productskills --skill prd-writing scope-cutting
# List available skills
npx skills add assimovt/productskills --list
/plugin marketplace add assimovt/productskills
/plugin install product-skills
git clone https://github.com/assimovt/productskills.git
cp -r productskills/skills/* .claude/skills/
git submodule add https://github.com/assimovt/productskills.git .claude/productskills
Then reference skills from .claude/productskills/skills/.
These skills are markdown files. They work with any AI coding agent:
.cursor/rules/| Skill | Description |
|---|---|
| user-interview | Mom Test + YC's Five Questions — talk to users without leading them |
| problem-validation | Score problems on frequency x intensity x WTP with evidence |
| jtbd-analysis | Jobs-to-be-done and Forces of Progress |
| research-synthesis | Turn interview notes into atomic insights and patterns |
| opportunity-mapping | Opportunity Solution Trees (Teresa Torres) |
| competitor-analysis | Feature matrix, positioning map, strategic gaps |
| product-positioning | April Dunford's Obviously Awesome framework |
| strategy-doc | Playing to Win + Rumelt's Strategy Kernel |
| feature-prioritization | RICE scoring with enablers vs blockers lens |
| scope-cutting | Shape Up appetite + fixed time/variable scope + scope hammering |
| bet-sizing | Shape Up pitch format + Type 1/2 decision framework |
| prd-writing | Evidence-first PRDs — concise, measurable, with clear scope boundaries |
| launch-plan | Launch tiers (silent / soft / big-bang) with checklists |
| metrics-framework | North Star metric + input/output tree + counter-metrics |
| experiment-design | Hypothesis-driven A/B tests with sample size and analysis plan |
| roadmap-planning | Now/Next/Later roadmaps — outcomes, not features |
user-interview - Mom Test + YC Five Questionsproblem-validation - Frequency x Intensity x WTP scoringjtbd-analysis - Jobs-to-be-done, Forces of Progressresearch-synthesis - Atomic research: nuggets to insightsopportunity-mapping - Teresa Torres OSTcompetitor-analysis - Feature matrix, positioning gapsproduct-positioning - April Dunford's Obviously Awesomestrategy-doc - Playing to Win + Strategy Kernelfeature-prioritization - RICE + enablers vs blockersscope-cutting - Shape Up appetite + scope hammeringbet-sizing - Shape Up pitch + Type 1/2 decisionsprd-writing - Evidence-first, 800-1200 words, P0/P1/P2launch-plan - Launch tiers with checklistsmetrics-framework - North Star + counter-metricsexperiment-design - Hypothesis-driven A/B testsroadmap-planning - Now/Next/Later, outcome-basedSee CONTRIBUTING.md.
MIT