Product Manager Skills
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║ 77 battle-tested skills + 6 command workflows ║
║ Claude Code • Cursor • Codex • n8n • OpenClaw • and more ... ║
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║ v0.84 • August 10, 2026 • CC BY-NC-SA 4.0 ║
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77 battle-tested PM frameworks, ready for Claude, Codex, ChatGPT, and any agent that can read structured knowledge.
Why This Exists
Generic AI output is a PM's worst enemy. When you tell your agent "write a PRD" without shared context, you get a generic document that no stakeholder trusts and no engineer can act on.
This library gives both you and your AI agent the same professional foundation: the why behind each framework, the failure modes to avoid, and the judgment to apply them correctly. You stop repeating yourself. Your agent stops guessing. The work gets better.
The goal is dual — functional and pedagogic in equal measure. Skills equip agents to do PM work at a professional level, and they teach the human PM the reasoning behind each framework — so you can explain it, adapt it, and pass it on. Neither is a byproduct of the other.
What You Can Get Done
Navigate by what you're actually trying to accomplish:
Framing and strategy
- problem-framing-canvas — MITRE's Look Inward / Look Outward / Reframe sequence; stops teams from solving the wrong problem
- positioning-statement — Geoffrey Moore's template for defining who you serve, what you solve, and how you're different
- product-strategy-session — full strategy arc: positioning → problem framing → solution exploration → roadmap (2-4 weeks)
Stakeholder alignment
- stakeholder-identification — map every stakeholder before engaging anyone: broad brainstorm → allies/audiences/influencers → R/P/D marking → equity lens → narrow to priority targets
- stakeholder-mapping — run two complementary grids (Power × Interest for engagement strategy; Impact × Power for whose voice to elevate) and compare to find the gaps
- stakeholder-engagement-advisor — per-stakeholder engagement planning: diagnoses their profile and context, then delivers tailored message framing, medium, cadence, and a named next action
Customer discovery and research
Prioritization and roadmapping
Writing PM deliverables
- user-story — Mike Cohn format + Gherkin acceptance criteria, with anti-patterns
- prd-development — structured PRD: problem → personas → solution → metrics → stories (2-4 days)
- press-release — Amazon Working Backwards: clarify product vision before writing a line of spec
Validation and experimentation
- pol-probe-advisor — recommends which prototype type to run based on your hypothesis and risk level
- pol-probe — template for documenting lightweight validation experiments before building
Finance and growth
- business-health-diagnostic — diagnoses SaaS health across growth, retention, efficiency, and capital using your real metrics
- organic-growth-advisor — McKinsey Growth Pyramid triage: diagnoses whether your constraint is in new segments, geographies, channels, or products
- feature-investment-advisor — build / don't build recommendation using revenue impact, cost, ROI, and strategic value
Market and competitive intelligence
Aging products: extend, replace, or retire
Career and leadership transitions
AI product work
Get Started
Choose your setup:
All downloads: GitHub Releases
Themed packs for Claude Desktop / Web
Each pack below is a ZIP of upload-ready skill ZIPs — unzip, then upload individuals to Claude Skills:
| Pack |
Download |
What's inside |
| Starter |
pm-skills-starter-pack.zip |
Core skills across all categories |
| Discovery |
02-discovery-pack.zip |
Research, interviewing, synthesis |
| Strategy |
03-strategy-pack.zip |
Positioning, roadmapping, prioritization |
| Delivery |
04-delivery-pack.zip |
PRDs, stories, epics |
| AI PM |
05-ai-pm-pack.zip |
Context engineering, orchestration, readiness |
| Market Intel |
06-market-intel-pack.zip |
The full Market Intelligence Suite: disciplines, investigation chain, frameworks, monitors |
| Lifecycle & EOL |
07-lifecycle-eol-pack.zip |
Aging products: extend, replace, or retire — plus the full sunset process |
| All skills |
99-all-skills-pack.zip |
All 77 skills |
Install guides
Try It First — Streamlit (beta)
Not ready to wire skills into your agent setup? Run the local playground first and kick the tires in your browser.
pip install -r app/requirements.txt
streamlit run app/main.py
What you can do:
- Learn — browse setup and integration paths without leaving the app
- Find My Skill — describe your situation in plain English and get recommended skills
- Run Skills — run a skill with your own scenario once you know what you want
Multi-provider support: Anthropic, OpenAI, Ollama. API keys via environment variables only (no in-app key entry).
Docs: app/STREAMLIT_INTERFACE.md · app/.env.example
Feedback welcome via GitHub Issues or LinkedIn.
70 Skills, 3 Types
Skills are organized in three tiers that build on each other:
┌────────────────────────────────────────────────────────┐
│ WORKFLOW SKILLS (19) │
│ Complete end-to-end PM processes (days to weeks) │
│ Example: run a full discovery cycle or write a PRD │
└────────────────────────────────────────────────────────┘
↓ orchestrates
┌────────────────────────────────────────────────────────┐
│ INTERACTIVE SKILLS (27) │
│ Guided discovery — 3-5 questions, then recommendations│
│ Example: "Which prioritization framework fits here?" │
└────────────────────────────────────────────────────────┘
↓ uses
┌────────────────────────────────────────────────────────┐
│ COMPONENT SKILLS (24) │
│ Templates for specific PM deliverables (30-90 min) │
│ Example: write a user story with acceptance criteria │
└────────────────────────────────────────────────────────┘
Interactive skills use an Adaptive Decision Ladder. Instead of dumping a framework at you, an interactive skill asks 3-5 targeted questions about your specific context, then offers numbered recommendations — each with a clear "use this when" rationale. You pick a path. The skill executes it and explains the why as it goes. If you want to just learn the framework without doing the work, you can ask that too — the skill coaches you either way. This is ABC — Always Be Coaching — in practice.
Full catalog: catalog/INDEX.md — all 77 skills with descriptions, or browse skills/ directly.
How a Skill File Works
Every SKILL.md follows the same structure:
| Section |
What it contains |
| Frontmatter |
name, description, type, intent, best_for, scenarios |
| Purpose |
What this skill does and when to reach for it |
| Input |
What you can bring (with example invocations) — inline input is used, not re-asked, and arriving empty-handed is fine: the skill walks you through it |
| Key Concepts |
Frameworks, definitions, anti-patterns — with vocabulary explained |
| Application |
Step-by-step instructions an agent (or human) can follow |
| Examples |
Real-world cases showing both good and bad versions |
| Common Pitfalls |
Named failure modes with consequences and corrections |
| References |
Related skills and external frameworks |
The best_for frontmatter field lists 3-5 specific scenarios where the skill is most useful — helpful for quickly scanning whether a skill fits your situation.
Why no $ARGUMENTS templating? Other skill libraries use Claude Code's $ARGUMENTS substitution for input. We deliberately don't: it only expands in Claude Code (it renders as literal syntax in Claude Desktop/Web, Codex, and the Streamlit playground), and it teaches the human reader nothing. Instead, every skill has a plain-language ## Input section that works on every runtime — and makes clear you can show up with full context, partial context, or nothing at all and be guided through the rest. Full rationale in CONTRIBUTING.md.
Works With
Claude Code · Claude Desktop · Claude Web · OpenAI Codex · ChatGPT · Cursor · Windsurf · n8n · LangFlow · CrewAI · Gemini · any agent that reads structured markdown
See docs/Platform Guides for PMs.md for platform-specific setup.
Docs
这是一个包含 77 个久经实战检验的产品管理框架的库，以结构化的“技能”（Skills）形式打包，涵盖需求探索、战略、优先级排序、PRD、市场情报、生命周期规划等内容，让任何 AI 智能体都能运用专业的产品管理判断，而不是只给出泛泛的输出。