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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: storyboard
argument-hint: "[user and problem]"
description: Create a six-frame storyboard that shows a user's journey from problem to solution. Use when you need a fast narrative for alignment, concept reviews, or demos.
intent: >-
Create a 6-frame visual narrative that tells the story of a user's journey from problem to solution, using the classic storytelling arc to build empathy, illustrate value, and make abstract product concepts concrete. Use this to align stakeholders, pitch features, communicate vision, or test if your solution resonates emotionally before building it.
type: componentCreate a 6-frame visual narrative that tells the story of a user's journey from problem to solution, using the classic storytelling arc to build empathy, illustrate value, and make abstract product concepts concrete. Use this to align stakeholders, pitch features, communicate vision, or test if your solution resonates emotionally before building it.
This is not a UI mockup—it's a storytelling tool that brings the human side of your product to life.
Works best with: The user and the problem-to-solution story you want told. Also useful: The emotional arc, key moments you know must appear, and the audience for the storyboard (execs, design review, sales).
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 who the user is and what changes for them, then builds the six frames.
Example invocation: Storyboard: overwhelmed pharmacy tech discovers our auto-refill queue and ends the day on time — for next week's concept review.
Based on classic narrative arcs, the 6-frame format follows this pattern:
Use template.md for the full fill-in structure.
Before creating the storyboard, ensure you have:
skills/proto-persona/SKILL.md)skills/problem-statement/SKILL.md)skills/positioning-statement/SKILL.md)If missing context: Run discovery work first. Don't fabricate personas or problems.
Ask these questions one at a time to develop the narrative:
Based on the answers above, draft the narrative:
## Generated 6-Frame Storyline
**Frame 1: Introducing the Main Character**
- [Insert description of the main character, their setting, and context]
- [Example: "Sarah, 35, is a freelance graphic designer juggling 10 client projects from her home office"]
**Frame 2: The Problem Emerges**
- [Describe the main character's challenge and how it affects their life]
- [Example: "She's drowning in invoice tracking—8 hours per month chasing late payments via spreadsheets and email"]
**Frame 3: The 'Oh Crap' Moment**
- [Highlight the escalation of the problem into a major issue]
- [Example: "A major client's payment is 2 weeks overdue. Sarah realizes she forgot to follow up because she was focused on design work. The client has now gone silent, and she's anxious about cash flow."]
**Frame 4: The Solution Appears**
- [Explain how the solution is introduced and the main character's initial reaction]
- [Example: "Sarah discovers SmartInvoice, a tool that automatically sends payment reminders at optimal times. She's skeptical—will it sound too pushy?—but decides to try it."]
**Frame 5: The 'Aha' Moment**
- [Show the main character using the solution and experiencing a breakthrough]
- [Example: "Two days later, Sarah receives a notification: 'Client XYZ just paid!' The AI-timed reminder worked—no awkward follow-up call needed. She feels relieved and in control."]
**Frame 6: Life After the Solution**
- [Describe the resolution and how life improves after overcoming the problem]
- [Example: "Sarah now spends 30 minutes per month on invoicing instead of 8 hours. She's reclaimed her evenings, spending time with family instead of chasing payments. Her cash flow is predictable, and her anxiety is gone."]
**Optional Visual Elements**
- [If no visual style specified: "Use fat-marker, sharpie-style sketches—minimal, monochrome, hand-drawn feel"]
- [If visual elements provided: "Include user-provided images, GIFs, or icons"]
For each frame, create or describe the visual:
Frame 1: Main Character
Frame 2: The Problem Emerges
Frame 3: The 'Oh Crap' Moment
Frame 4: The Solution Appears
Frame 5: The 'Aha' Moment
Frame 6: Life After the Solution
Ask these questions:
If any answer is "no," revise.
See examples/sample.md for full storyboard examples.
Mini example excerpt:
**Frame 1:** Sarah, 35, freelance designer juggling 10 clients\n**Frame 2:** Spends 8 hours/month chasing overdue invoices\n**Frame 3:** $5,000 payment is 2 weeks overdue\n```
---
## Common Pitfalls
### Pitfall 1: Generic Persona
**Symptom:** "Meet User, a busy professional"
**Consequence:** No one identifies with this character.
**Fix:** Get specific: "Meet Sarah, 35, freelance designer, juggling 10 clients, home office, loves design but hates admin."
---
### Pitfall 2: Weak Problem
**Symptom:** "User has a problem with efficiency"
**Consequence:** Problem doesn't resonate emotionally.
**Fix:** Make it visceral: "Sarah spends 8 hours/month chasing overdue invoices, missing family dinners, feeling anxious about cash flow."
---
### Pitfall 3: Forced Solution Introduction
**Symptom:** "User magically discovers our product"
**Consequence:** Feels contrived, not authentic.
**Fix:** Show realistic discovery: "Sarah sees a recommendation in a designer forum" or "Sarah's colleague mentions it."
---
### Pitfall 4: Feature-Centric "Aha" Moment
**Symptom:** "User sees the dashboard and loves the features"
**Consequence:** No emotional payoff.
**Fix:** Focus on outcome: "Sarah gets notification: '$5,000 received!' She's relieved—no awkward call needed."
---
### Pitfall 5: Vague "After" State
**Symptom:** "Life is better now"
**Consequence:** Not aspirational or concrete.
**Fix:** Be specific: "Sarah leaves work at 6pm now, spending evenings with her kids instead of chasing clients. On-time payments jumped from 50% to 80%."
---
## References
### Related Skills
- `skills/proto-persona/SKILL.md` — Defines the main character
- `skills/problem-statement/SKILL.md` — Frames the problem for Frame 2-3
- `skills/positioning-statement/SKILL.md` — Informs the solution introduction in Frame 4
- `skills/jobs-to-be-done/SKILL.md` — Informs the desired outcome in Frame 6
### External Frameworks
- Joseph Campbell, *The Hero's Journey* (1949) — Classic narrative structure
- Pixar's story rules — "Once upon a time... Every day... Until one day..."
- Donald Miller, *Building a StoryBrand* (2017) — Story-driven marketing frameworks
### Dean's Work
- Storyboard Storytelling Prompt (6-Frame Storyline Generator)
### Provenance
- Adapted from `prompts/storyboard-storytelling-prompt.md` in the `https://github.com/deanpeters/product-manager-prompts` repo.
---
**Skill type:** Component
**Suggested filename:** `storyboard.md`
**Suggested placement:** `/skills/components/`
**Dependencies:** References `skills/proto-persona/SKILL.md`, `skills/problem-statement/SKILL.md`, `skills/positioning-statement/SKILL.md`, `skills/jobs-to-be-done/SKILL.md`
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