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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。
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: pestel-analysis
argument-hint: "[product or market]"
description: Analyze political, economic, social, technological, environmental, and legal forces. Use when external market shifts could materially affect a product, roadmap, or strategy.
intent: >-
Conduct a systematic analysis of macro-environmental factors—Political, Economic, Social, Technological, Environmental, and Legal—that could impact your product or project. Use this to identify external opportunities and threats, inform strategic planning, assess market entry risks, and make data-driven decisions about product direction in the context of broader forces beyond your control.
type: componentConduct a systematic analysis of macro-environmental factors—Political, Economic, Social, Technological, Environmental, and Legal—that could impact your product or project. Use this to identify external opportunities and threats, inform strategic planning, assess market entry risks, and make data-driven decisions about product direction in the context of broader forces beyond your control.
This is not internal analysis—it's outward-facing assessment of the big-picture forces shaping your product's environment.
Works best with: The product, market, or strategic decision the analysis should serve. Also useful: Geography, time horizon, and which forces you already suspect matter most.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
Arriving empty-handed? That works too. The skill asks what product/market and geography to analyze before scanning the six forces — an unanchored PESTEL is a trivia exercise.
Example invocation: PESTEL for launching our telehealth platform in Germany over the next 18 months.
Originating from Francis Joseph Aguilar's 1967 PEST analysis, PESTEL extends the framework to six categories:
Use template.md for the full fill-in structure.
Clarify what you're analyzing:
## Overview
- **Project/Product Name:** [e.g., "AI-Powered Invoice Automation for SMBs"]
- **Analysis Purpose:** [e.g., "Assess viability of launching in EU market"]
- **Analyst:** [Your name or team]
- **Date:** [Date of analysis]
- **Geographic Scope:** [e.g., "United States and European Union"]
- **Time Horizon:** [e.g., "Next 12-24 months"]
Quality checks:
Examine government and regulatory influences:
## 1. Political Factors
### Government Policies
- [How could government policies impact the product?]
- [Example: "EU's AI Act requires transparency in AI decision-making; our invoice automation must explain recommendations"]
### Political Stability
- [Assess stability in relevant regions]
- [Example: "US political stability is moderate; potential for regulatory changes in financial tech under new administration"]
### Trade Regulations
- [Examine trade regulations and their effects]
- [Example: "Brexit complicates data transfer between UK and EU; may require separate infrastructure"]
### Taxation Policy
- [Analyze taxation policies and implications]
- [Example: "Digital services tax in EU (3% on revenue) could impact pricing strategy"]
Quality checks:
Examine economic conditions:
## 2. Economic Factors
### Economic Growth
- [Evaluate growth rates and their impact]
- [Example: "SMB sector growing 5% annually in US; strong demand for automation tools"]
### Inflation Rate
- [Consider inflation and its effect on pricing/costs]
- [Example: "High inflation (6%) pressures SMB budgets; price sensitivity increases"]
### Exchange Rates
- [Analyze exchange rate fluctuations]
- [Example: "Weak Euro vs. Dollar makes US pricing less competitive in EU; may need regional pricing"]
### Consumer Spending
- [Assess consumer spending levels]
- [Example: "SMBs cutting discretionary spending due to recession fears; emphasize ROI (time savings) in messaging"]
Quality checks:
Examine societal and cultural trends:
## 3. Social Factors
### Demographics
- [Examine demographics and market influence]
- [Example: "Aging SMB owners (Baby Boomers) less tech-savvy; younger Gen X/Millennial owners more receptive to automation"]
### Cultural Trends
- [Analyze cultural trends and demand impact]
- [Example: "Growing 'hustle culture' among freelancers increases demand for time-saving tools"]
### Lifestyle Changes
- [Consider lifestyle changes and implications]
- [Example: "Remote work boom increases solo entrepreneurs and freelancers; core target market expanding"]
### Consumer Attitudes
- [Assess consumer attitudes and behaviors]
- [Example: "Increasing trust in AI for routine tasks (invoicing, scheduling); less resistance than 5 years ago"]
Quality checks:
Examine technology landscape:
## 4. Technological Factors
### Technological Advancements
- [Identify advancements and their impact]
- [Example: "Large language models (LLMs) enable better invoice data extraction; competitive advantage if adopted early"]
### R&D Activity
- [Evaluate sector R&D levels]
- [Example: "High R&D investment in fintech automation; rapid innovation cycle—need to iterate fast"]
### Automation
- [Assess automation implications]
- [Example: "Competitors adopting AI-powered automation; table stakes for market entry—must match or exceed"]
### Digital Transformation
- [Consider digital transformation trends]
- [Example: "SMBs adopting cloud-first tools (QuickBooks Online, Xero); need strong integrations to succeed"]
Quality checks:
Examine environmental and sustainability issues:
## 5. Environmental Factors
### Climate Change
- [Analyze climate change implications]
- [Example: "Minimal direct impact; however, B Corps and sustainability-focused SMBs prefer vendors with carbon-neutral operations"]
### Sustainability Practices
- [Evaluate sustainability impact]
- [Example: "Growing demand for 'green tech'; marketing opportunity to highlight cloud efficiency vs. on-prem servers"]
### Resource Scarcity
- [Assess resource scarcity risks]
- [Example: "Low risk; software product doesn't depend on physical resources"]
### Environmental Regulations
- [Examine environmental regulations]
- [Example: "EU's Carbon Border Adjustment Mechanism (CBAM) doesn't affect SaaS directly"]
Quality checks:
Examine legal and compliance landscape:
## 6. Legal Factors
### Compliance Requirements
- [Identify legal/compliance requirements]
- [Example: "GDPR compliance required for EU customers; must implement data residency, right-to-be-forgotten, consent management"]
### Intellectual Property Rights
- [Evaluate IP importance and protection]
- [Example: "Patent landscape for AI invoice processing is crowded; focus on trade secrets over patents"]
### Employment Laws
- [Consider employment laws and implications]
- [Example: "Remote hiring across EU requires understanding of local labor laws (Germany, France have strict employment contracts)"]
### Health and Safety Regulations
- [Assess health/safety regulations]
- [Example: "Not applicable (software product)"]
Quality checks:
After analyzing all six factors, summarize:
## Strategic Insights Summary
### Top Opportunities:
1. **[Opportunity 1]** - [Description and action]
- [Example: "Social: Remote work boom expands target market → Increase marketing to freelancers"]
2. **[Opportunity 2]** - [Description and action]
3. **[Opportunity 3]** - [Description and action]
### Top Threats:
1. **[Threat 1]** - [Description and mitigation]
- [Example: "Economic: Recession fears increase price sensitivity → Emphasize ROI in messaging, offer lower-tier pricing"]
2. **[Threat 2]** - [Description and mitigation]
3. **[Threat 3]** - [Description and mitigation]
### Strategic Recommendations:
1. **[Recommendation 1]** - [Action to take]
2. **[Recommendation 2]** - [Action to take]
3. **[Recommendation 3]** - [Action to take]
See examples/sample.md for a full PESTEL analysis example.
Mini example excerpt:
### 1. Political Factors
- EU AI Act requires transparency in AI decision-making
### 2. Economic Factors
- High inflation increases SMB price sensitivity
Symptom: "Political: Regulations exist. Economic: Economy affects spending."
Consequence: No actionable insights.
Fix: Be specific: "EU AI Act requires explainable AI → Need transparency features by Q3 2026."
Symptom: Forcing relevance where none exists (e.g., "Climate change affects our SaaS product...")
Consequence: Wastes time, dilutes focus.
Fix: If a factor has low impact, say so. Focus effort on high-impact areas.
Symptom: "Economic growth is strong" (no citation)
Consequence: Unverifiable claims, low credibility.
Fix: Cite sources: "SMB sector growing 5% annually (US Census Bureau, 2025)."
Symptom: Long list of factors, no strategic recommendations
Consequence: Insights don't inform decisions.
Fix: Synthesize into "Top Opportunities," "Top Threats," and "Strategic Recommendations."
Symptom: PESTEL analysis done once, never revisited
Consequence: Stale insights as macro environment shifts.
Fix: Review annually or when major external events occur (new regulations, economic shifts, etc.).
skills/recommendation-canvas/SKILL.md — PESTEL factors inform risk assessment in canvasskills/positioning-statement/SKILL.md — PESTEL insights shape competitive positioningskills/problem-statement/SKILL.md — Social/economic factors influence customer problemsprompts/pestel-analysis-prompt-template.md in the https://github.com/deanpeters/product-manager-prompts repo.Skill type: Component
Suggested filename: pestel-analysis.md
Suggested placement: /skills/components/
Dependencies: References skills/recommendation-canvas/SKILL.md, skills/positioning-statement/SKILL.md
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