复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
GitHub stars License: CC BY-NC-SA 4.0 PRs Welcome Version Claude Code Plugin Skills
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
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║ 70 battle-tested skills + 6 command workflows ║
║ Claude Code • Cursor • Codex • n8n • OpenClaw • and more ... ║
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║ v0.83 • July 17, 2026 • CC BY-NC-SA 4.0 ║
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70 battle-tested PM frameworks, ready for Claude, Codex, ChatGPT, and any agent that can read structured knowledge.
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.
Navigate by what you're actually trying to accomplish:
Framing and strategy
Stakeholder alignment
Customer discovery and research
Prioritization and roadmapping
Writing PM deliverables
Validation and experimentation
Finance and growth
Market and competitive intelligence
Career and leadership transitions
AI product work
Choose your setup:
| I use... | Get this | Notes |
|---|---|---|
| Claude Desktop or Claude Web | pm-skills-starter-pack.zip | Unzip, then upload the individual skill ZIPs to Claude Skills |
| Claude Code | Plugin marketplace | claude /plugin marketplace add deanpeters/Product-Manager-Skills |
| Codex | pm-skills-codex.zip | Installs .agents/skills and AGENTS.md |
| Not sure | pm-skills-starter-pack.zip | Start here |
All downloads: GitHub Releases
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 |
| All skills | 99-all-skills-pack.zip | All 70 skills |
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:
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.
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 70 skills with descriptions, or browse skills/ directly.
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.
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.
| Document | Purpose |
|---|---|
| Using PM Skills 101 | Beginner-friendly orientation — setup without technical overload |
| Platform Guides for PMs | Tool-by-tool setup chooser for every supported platform |
| Using PM Skills with Claude | Claude Code + GitHub ZIP upload for Claude Desktop/Web |
| Using PM Skills with Codex | Local workspace + GitHub-connected Codex on ChatGPT |
| Using PM Skills with ChatGPT | GitHub app, Custom GPT Knowledge, and Project-based usage |
| Using PM Skills with Slash Commands 101 | Turn skills into reusable slash commands like /pm-story |
| Add-a-Skill Utility Guide | End-to-end guide for generating and validating new skills |
| Market Intelligence Suite Summary | The 14-skill competitive/market research suite: disciplines, chain, and which skill to run when |
| Building PM Skills | How raw PM content gets distilled into agent-ready skills |
| START_HERE.md | 60-second onboarding for local repo users |
v0.83 — July 17, 2026 · The Market Intelligence Suite
autonomous-investigation — the protocol for research that proceeds without you. Question budgets, a search-plan gate, Fact / Inference / Assumption labels on every claim, do-not-invent lists, and stable diffable schemas, so investigations can run on a schedule and you can diff this quarter against lasttam-sam-som-calculator (three entry modes, including autonomous bottom-up research) and company-intel (Executive Signal Refresh rerun pattern — Then/Now diffs and Dropped Language: what leaders stop saying is often the strongest signal)v0.82 — July 8, 2026
incoming-request-advisor (Interactive) — drop in a Slack ping, email, mandate, or escalation and get a structured breakdown that separates the literal ask from the real job-to-be-done, reads sender power and stake, and points you toward a reply. Ships with a copy/paste template so you can run it by hand too/dist — no terminal, no Releases tab. Read the plain-language README, scan the CATALOG, and download any skill or pack straight from the repo. Built for PMs who just want the skillsv0.81 — July 4, 2026
## Input section: what to bring, what happens to context you supply up front (it's used, not re-asked), and reassurance that arriving empty-handed is fine — the guided flow covers the restargument-hint autocomplete for Claude Code users; deliberately no $ARGUMENTS templating — it breaks on every other runtime and teaches the reader nothing (why)$ARGUMENTS in the bodyagent-orchestration-advisor (Interactive) — the multi-agent workflow design skill was referenced everywhere but only existed on an orphaned commit; recovered from git history and brought up to current standardsv0.80 — June 19, 2026
stakeholder-identification (Component) — comprehensive stakeholder brainstorm using allies/audiences/influencers, R/P/D marking, equity lens, and bias check; narrows to priority targetsstakeholder-mapping (Component) — two complementary grids (Power × Interest + Impact × Power); comparing outputs reveals who you're under-engaging relative to how much the product affects themstakeholder-engagement-advisor (Interactive) — per-stakeholder engagement planning via Adaptive Decision Ladder: three questions on profile, power/impact, and context deliver tailored message framing, medium, cadence, and a named next actionAll three adapted from the MITRE Innovation Toolkit via the companion repo MITRE ITK Skills — worth a bookmark if you work in discovery, facilitation, or cross-functional product strategy.
v0.79 — May 15, 2026
organic-growth-advisor — McKinsey Growth Pyramid triage for new segments, geographies, channels, or productspm-skill-creator — interactive skill for designing repo-compliant skills via guided conversation.claude-plugin/plugin.json that silently blocked Claude Code skill discoveryPM_MAX_INPUT) and path traversal protection to helper scriptsFound a gap? Have a PM framework worth formalizing? The bar is pedagogic — skills must teach the why, not just the how.
See CONTRIBUTING.md for guidelines, or open an issue to start a conversation.
CC BY-NC-SA 4.0 — non-commercial use with share-alike.
Everything in this repository — every skill, template, and doc — is licensed CC BY-NC-SA 4.0. There is no mix of licenses here.
Some skills note in their Provenance sections that they were adapted from product-manager-prompts, Dean's earlier prompt library. That repo has the same author, so there is no license conflict: a license grants permissions to other people, and a copyright holder is free to adapt and relicense their own work. Those Provenance lines are lineage — a breadcrumb back to where an idea started — not a license dependency. No third-party MIT-licensed text is incorporated anywhere in this library.
In plain terms:
The companion prompt library, product-manager-prompts, carries the same CC BY-NC-SA 4.0 license as of its v2.3.0, with its own plain-language permissions (stricter on commercial use) — see its LICENSING.md, which governs that repo.
name: pm-skill-creator
argument-hint: "[idea or raw content]"
description: Design a new PM skill through guided conversation. Use when you have raw content or an idea and want to shape it into a compliant skill.
intent: >-
Walk through the full skill design process interactively — from raw idea or content to a structured, repo-compliant SKILL.md draft. Asks adaptive questions to determine skill type, scope, structure, and content, then generates a ready-to-validate draft.
type: interactive
theme: meta-authoring
best_for:
- "Turning a rough idea or framework into a structured PM skill"
- "Deciding whether raw content should be a component, interactive, or workflow skill"
- "Getting from blank page to a complete SKILL.md draft through guided conversation"
scenarios:
- "I have notes from a workshop and want to turn them into a skill"
- "Help me create a new skill — I know the topic but not the structure"
- "I have a PM framework I want to formalize as a repo skill"
estimated_time: "10-15 min"Walk through the full skill design process interactively — from raw idea or content to a structured, repo-compliant SKILL.md draft. Asks adaptive questions to determine skill type, scope, structure, and content, then generates a ready-to-validate draft.
This skill is the conversational complement to skill-authoring-workflow. That skill defines the process and validation gates. This one sits with you and figures out what to build before you build it.
Bring the seed for the skill you want to design — half-formed is fine; shaping it is this skill's job:
If you supply this inline with your request (e.g., "help me design a skill from my pricing-tiers framework"), the conversation uses that as the answer to Q1 and moves on — it won't re-ask. With no input, it opens by asking what you want the skill to help someone do.
Example: Use pm-skill-creator: I have a decision tree for choosing north-star metrics — help me shape it into a skill.
| Tool | Best When |
|---|---|
| This skill (skill-creator) | You have an idea or raw content and need help shaping it into the right structure through conversation |
skill-authoring-workflow | You already know what to build and need the process checklist and validation steps |
scripts/build-a-skill.sh | You know the structure and want a terminal wizard to collect sections |
scripts/add-a-skill.sh | You have a source document and want AI-assisted generation end-to-end |
Every skill requires these sections in order:
$ARGUMENTSname: lowercase kebab-case, ≤ 64 charactersdescription: ≤ 200 characters, must include trigger cue ("Use when...")intent: longer repo-facing summary (no character limit)type: one of component, interactive, workflowUse workshop-facilitation as the default interaction protocol for this skill.
It defines:
Other (specify) when useful)This file defines the domain-specific content. If there is a conflict, follow this file's domain logic.
This interactive skill asks up to 5 adaptive questions, then delivers a complete SKILL.md draft with frontmatter, all required sections, and repo-compliant structure.
Agent says:
"I'll help you design a new PM skill from scratch. This takes about 10-15 minutes and up to 5 questions. How do you want to start?
Agent asks:
"What are we turning into a skill? Give me whatever you have."
Or describe what you have in your own words.
Agent note: If the user pastes raw content instead of choosing an option, analyze the content and infer the answer. Confirm your interpretation before proceeding.
Based on Q1 answer, agent recommends a type and confirms:
If Q1 = Framework or Template:
"This sounds like a component skill — a self-contained artifact or reference. It would include a template, quality criteria, and examples. Does that fit, or is there a conversational/adaptive element I'm missing?
If Q1 = Process or Workflow:
"This sounds like a workflow skill — a multi-phase process. Does it reference or orchestrate other discrete skills/artifacts, or is it more of a guided conversation?
If Q1 = Coaching or Advisory:
"This sounds like an interactive skill — guided questions that adapt based on answers, ending with enumerated recommendations. Sound right?
Agent asks:
"What should we call this skill? I need two things:
a) A working name — lowercase-kebab-case, max 64 characters (e.g., feature-investment-advisor, user-story, discovery-process)
b) A one-sentence description — What it does + when to use it. Must fit in 200 characters and start with a verb or 'Use when...'
Give me your best attempt and I'll tighten it if needed. Or just describe the skill's purpose and I'll propose both."
Agent note: Validate the name format (kebab-case, ≤ 64 chars) and description length (≤ 200 chars) before proceeding. If either fails, suggest a fix.
This question adapts based on skill type from Q2:
For component skills:
"What are the core elements of this artifact or framework? I need:
sample-industrial.md); all example companies must be fictionalGive me whatever you have — bullet points, rough notes, or a full draft."
For interactive skills:
"Walk me through the conversation flow:
Give me the decision tree as you see it — even if it's rough."
For workflow skills:
"Map out the phases:
scripts/find-a-skill.sh --keyword <topic>)Give me the flow — sequential, branching, or both."
Agent asks:
"What goes wrong when people do this badly? I need 2-3 failure modes:
If you're not sure, tell me the most common mistake you've seen and I'll help structure it."
After collecting answers to Q1-Q5, the agent generates a complete SKILL.md draft including:
name, description, intent, type, best_for, scenarios, estimated_timeAgent says after generating:
"Here's your draft SKILL.md. Before we call it done:
python3 scripts/check-skill-metadata.py skills/<name>/SKILL.mdpython3 scripts/check-skill-triggers.py skills/<name>/SKILL.md --show-cases./scripts/test-a-skill.sh --skill <name> --smokeWant me to adjust anything, or are you ready to validate?"
Q1: "1 — A framework. It's a 2x2 matrix for evaluating build-vs-buy decisions."
Q2: "1 — Yes, component."
Q3: "Name: build-vs-buy-matrix. Description: 'Evaluate build-vs-buy decisions using a 2x2 matrix of strategic value and implementation complexity. Use when choosing between building internally and buying a solution.'"
Q4: "The axes are strategic differentiation (low/high) and implementation complexity (low/high). Four quadrants: Buy (low/low), Partner (low/high), Build (high/low), Invest (high/high). Quality criteria: each quadrant has a clear decision rule and one example."
Q5: "Biggest mistake: treating it as a one-time decision. Consequence: you build something, market shifts, and you're stuck maintaining undifferentiated tech. Fix: revisit quarterly."
Output: Complete component skill with template, filled example, and the quarterly-review pitfall.
Q1: "4 — Coaching topic. Helping PMs navigate their first pricing conversation with leadership."
Q2: "1 — Yes, interactive."
Q3: "Name: pricing-conversation-advisor. Description: 'Prepare for your first pricing conversation with leadership. Use when presenting pricing changes or new monetization to executives.'"
Q4: "Opening question: What's the pricing change? Branches: new product pricing, price increase on existing, freemium-to-paid conversion, usage-based transition. Recommendations: data to bring, objection handling, framing strategies."
Q5: "Failure mode: 'Leading with the Number.' Consequence: executives fixate on the price point instead of the strategy. Fix: always lead with the business case and customer impact before revealing the number."
Output: Complete interactive skill with 3-question flow, 4 branches, and enumerated recommendations per branch.
Q1: "I want a skill that covers all of product strategy — vision, roadmaps, OKRs, prioritization, stakeholder alignment, and metrics."
Agent response: "That's 4-6 separate skills, not one. Let's pick the one that matters most right now and build that. Which piece is most urgent?
roadmap-planning)prioritization-advisor)Start with one. We can build the others after."
Symptom: Calling something a "workflow" when it's really a template with numbered steps.
Consequence: Over-engineered skill that references non-existent sub-skills and confuses users.
Fix: Apply the type decision questions from Q2 honestly. If it doesn't orchestrate other skills or have distinct phases with different inputs/outputs, it's probably a component.
Symptom: Description says what the skill is ("A framework for pricing decisions") but not when to use it.
Consequence: Claude can't match user requests to the skill. It sits unused.
Fix: Every description must answer "Use when..." — e.g., "Evaluate pricing decisions using a structured framework. Use when choosing between pricing models or preparing a pricing proposal."
Symptom: "The draft looks good, let's ship it."
Consequence: Broken frontmatter, missing sections, failed cross-references, inconsistent catalog counts.
Fix: Always run check-skill-metadata.py and check-skill-triggers.py before considering the skill done. No exceptions.
Symptom: Trying to pack an entire domain into one skill.
Consequence: A 500-line monster that does nothing well. Too broad to trigger accurately, too long to be useful.
Fix: One skill = one job. If you need more than 6 application steps or more than 4 branches, you probably need multiple skills.
skill-authoring-workflow — The process checklist and validation gates; use after this skill generates a draftworkshop-facilitation — Facilitation protocol for this interactive skillscripts/build-a-skill.sh — Terminal wizard for section-by-section skill creationscripts/add-a-skill.sh — Content-first automated skill generatorscripts/check-skill-metadata.py — Structural validationscripts/check-skill-triggers.py — Trigger-readiness auditscripts/test-a-skill.sh — Full quality gatescripts/find-a-skill.sh — Check for overlapping skills before creatingCLAUDE.md — Master skill distillation protocol and quality standardsdocs/Building PM Skills.md — Manual skill creation guidedocs/Add-a-Skill Utility Guide.md — Automated creation guide
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