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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。
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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: swot-analysis
argument-hint: "[company and scope, and the decision it supports]"
description: "Build an evidence-cited SWOT of one company — yours or a competitor's — from public sources, ending with the S-O/W-T crossings. Use for strategy reviews, board prep, or competitor depth."
intent: >-
An evidence-cited SWOT from the public record: strengths and weaknesses from documented capability
and customer voice, opportunities and threats from market and macro signals — every entry labeled
and sourced, closing with the S-O attack and W-T exposure crossings that most SWOTs skip.
type: workflow
theme: market-intelligence
best_for:
- "Strategy reviews and board prep that need a defensible read on one company's position"
- "Competitor depth after a snapshot has identified who matters"
- "Partnership or acquisition evaluation grounded in evidence, not impressions"
scenarios:
- "SWOT our biggest competitor before the strategy offsite — from public evidence"
- "We're evaluating a partnership with [company]; what does the public record say about their position?"
estimated_time: "20-35 min per run"Build an evidence-cited SWOT of one company — yours or a competitor's — from the public record: use or gather evidence → four labeled quadrants → crossings → next-step options. Strengths and weaknesses come from documented capability and customer voice; opportunities and threats from market, competitor, and macro signals. Every entry carries a source and a label, and the analysis ends with the S-O and W-T crossings — because a SWOT without "so what" is a parking lot with four sections.
Works best with: the company to analyze, the scope (whole company or one product line/market),
and the decision this SWOT should support.
Also useful: the perspective — theirs, or yours competing with them — and any research already in
session (a competitive-research-snapshot, VoC themes, a
landscape scan, company-intel output): the SWOT then synthesizes
instead of re-searching.
Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an
appended ARGUMENTS: line — counts as answers already given. Use it against the question budget;
don't re-ask.
Arriving empty-handed? That works too. The skill opens with at most 3 questions (company + scope, decision, perspective) and proceeds on labeled assumptions if they go unanswered.
Example invocation: Evidence-cited SWOT on [Competitor A]'s mid-market product line, from our perspective — supports the Q3 positioning refresh. Last month's snapshot is attached.
autonomous-investigation
contract — question budget of 3, search-plan gate, Fact/Inference/Assumption labels, Just Enough
Mode (max 5 ranked entries per quadrant), stable schema, 4-option Final Step. Disciplines: OSINT +
FININT + HUMINT per intelligence-collection-disciplines.porters-five-forces reads the
industry's structure; this reads one company's position within it. Run both when the decision
is market entry.# SWOT: [Company / Scope]
**As-of date:** | **Decision supported:** | **Perspective:**
## 1. Strengths (internal, evidenced)
- [Entry] — [evidence: URL, date] — [Fact/Inference]
- [Max 5, ranked by defensibility]
## 2. Weaknesses (internal, evidenced)
- [Entry — customer voice weighs heaviest here] — [URL] — [label]
- [Max 5, ranked by exploitability]
## 3. Opportunities (external)
- [Entry — market/macro signal] — [URL] — [label]
- [Max 5, ranked by fit to their strengths]
## 4. Threats (external)
- [Entry — competitor/regulatory/technology signal] — [URL] — [label]
- [Max 5, ranked by likelihood x damage]
## 5. The Crossings (the "so what")
- **S-O (attack):** [strength that unlocks which opportunity — 1-2 moves, labeled Inference]
- **W-T (exposure):** [weakness a threat will find first — 1-2 risks, labeled Inference]
- **For your decision:** [what this SWOT says about the decision named above, in 2 sentences]
### Assumptions to Validate
- [Assumption 1] / [Assumption 2] / [Assumption 3]
A copy/paste fill-in version of this schema, with quality checks, lives in template.md.
battle-card-builder)positioning-statement)Accept 1, 2, 3, 4, 1 and 2, Verbose Mode, or a custom path.
The quadrant discipline catching a disguised strategy (fictional):
Draft opportunity: "expand into the compliance-automation segment." Caught and reclassified — that requires them to act, so it's a candidate strategy, not an opportunity. The underlying opportunity, restated externally: "compliance-automation demand in their install base is growing — Fact ([industry survey, URL]) — and no incumbent serves it." Now the S-O crossing can test whether any documented strength (their services arm, their audit-trail architecture) actually unlocks it — or whether it's a mirage that flatters the roadmap.
Claimed vs. evidenced, side by side:
- Their site claims "enterprise-grade reliability" — that's a claim, not a strength.
- Strength as evidenced: "publishes a status page with 26 months of >99.95% uptime — Fact ([status page, URL]) — and reliability praise recurs across independent reviews — Fact ([review site, URL])." Ranked #2 by defensibility: verifiable, sustained, hard to copy quickly.
See examples/sample.md for a complete worked SWOT (fictional FSM-software
market, same scenario as the suite's chain examples) that synthesizes from a snapshot and watch
report already in session. examples/sample-industrial.md runs the
same quadrant discipline on an industrial evidence diet, including a fortress-move warning in the
S-O crossing.
autonomous-investigation (Workflow) — the governing protocolintelligence-collection-disciplines (Component) — the evidence channels behind each quadrantporters-five-forces (Workflow) — industry structure; run both for market-entry decisionscompetitive-research-snapshot (Workflow) — upstream evidence basevoice-of-customer-miner (Workflow) — the weaknesses quadrant's best sourcepositioning-statement (Component) — consumes the crossingsmarket-intelligence/swot-analysis-prompt.md in the
https://github.com/deanpeters/product-manager-prompts repo.
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