复制安装命令
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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: user-story-mapping-workshop
argument-hint: "[system or workflow]"
description: Run a user story mapping workshop with adaptive questions and a structured map output. Use when you need backbone activities, tasks, and release slices for a workflow.
intent: >-
Guide product managers through creating a user story map by asking adaptive questions about the system, users, workflow, and priorities—then generating a two-dimensional map with backbone (activities), user tasks, and release slices. Use this to move from flat backlogs to visual story maps that communicate the big picture, identify missing functionality, and enable meaningful release planning—avoiding "context-free mulch" where stories lose connection to the overall system narrative.
type: interactiveGuide product managers through creating a user story map by asking adaptive questions about the system, users, workflow, and priorities—then generating a two-dimensional map with backbone (activities), user tasks, and release slices. Use this to move from flat backlogs to visual story maps that communicate the big picture, identify missing functionality, and enable meaningful release planning—avoiding "context-free mulch" where stories lose connection to the overall system narrative.
This is not a backlog generator—it's a visual communication framework that organizes work by user workflow (horizontal) and priority (vertical).
Works best with: The system or workflow to map. Also useful: The primary users, workflow steps you already know, and what the map must decide (MVP scope, release plan).
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 workshop opens by asking about the system and its users (Q1), then proceeds per the facilitation protocol.
Example invocation: Run a story mapping workshop for our vendor onboarding portal — output should give us a first release slice.
A story map (Jeff Patton) organizes user stories in two dimensions:
Horizontal axis (left to right): Activities arranged in narrative/workflow order—the sequence you'd use explaining the system to someone
Vertical axis (top to bottom): Priority within each activity, with the most essential tasks at the top
Structure:
Backbone (Activities across top)
↓
User Tasks (descending vertically by priority)
↓
Details/Acceptance Criteria (at the bottom)
The Backbone: Essential activities form the system's structural core—these aren't prioritized against each other; they're the narrative flow.
Walking Skeleton: The highest-priority tasks across all activities form the minimal viable product—the smallest end-to-end functionality.
Ribs: Supporting tasks descend vertically under each activity, indicating priority through placement.
Left-to-Right, Top-to-Bottom Build Strategy: Build incrementally across all major features rather than completing one feature fully before starting another.
Use workshop-facilitation as the default interaction protocol for this skill.
It defines:
Other (specify) when useful)This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.
This interactive skill asks up to 5 adaptive questions, offering 3-4 enumerated options at each step.
Use template.md for the facilitation agenda and outputs checklist.
Interaction pattern: Pair with skills/workshop-facilitation/SKILL.md when you want a one-step-at-a-time flow with numbered recommendations at decision points and quick-select options for regular questions. If the user asks for a single-shot output, skip the multi-turn facilitation.
Agent suggests:
Before we create your story map, let's gather context:
Product/Feature Context:
User Context:
You can paste this content directly, or describe the system briefly.
Agent asks: "What are you mapping? (What's the scope?)"
Offer 4 enumerated options:
Or describe your specific scope.
User response: [Selection or custom]
Agent asks: "Who are the primary users for this map? (List personas or user segments.)"
Offer 4 enumerated options:
Or describe your users.
Adaptation: Use personas from context provided in Step 0 (proto-personas, JTBD, etc.)
User response: [Selection or custom]
Agent says: "Let's build the backbone—the narrative flow of activities users perform to accomplish their goal."
Agent generates 5-8 activities based on scope (Q1) and users (Q2), arranged left-to-right in workflow order.
Example (if Scope = "E-commerce checkout"):
Backbone Activities (left to right):
1. Browse Products
2. Add to Cart
3. Review Cart
4. Enter Shipping Info
5. Enter Payment Info
6. Confirm Order
7. Receive Confirmation
Agent asks: "Does this backbone capture the full workflow? Should we add, remove, or reorder activities?"
User response: [Approve, modify, or add custom activities]
Agent says: "Now let's add user tasks under each activity, organized by priority (top = must-have, bottom = nice-to-have)."
Agent generates 3-5 user tasks per activity, arranged vertically by priority.
Example (for Activity 2: "Add to Cart"):
Add to Cart (Activity)
├─ Add single item to cart (must-have, walking skeleton)
├─ Adjust quantity (must-have)
├─ Add multiple items at once (should-have)
├─ Save item for later (nice-to-have)
└─ Add gift wrapping (nice-to-have)
Agent repeats for all backbone activities, showing the full map.
Agent asks: "Does this capture the key tasks? Are priorities correct (top = MVP, bottom = later releases)?"
User response: [Approve, modify, or add custom tasks]
Agent says: "Let's define release slices by drawing horizontal lines across the map."
Agent generates 3 release slices:
Release 1 (Walking Skeleton): Top-priority tasks across all activities—minimal end-to-end functionality
Release 2 (Next Increment): Second-priority tasks that enhance the core workflow
Release 3 (Polish/Expansion): Third-priority tasks (nice-to-haves, edge cases, optimizations)
Example:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Release 1 (Walking Skeleton):
- Browse products (basic list view)
- Add single item to cart
- Review cart (line items + total)
- Enter shipping info (name, address)
- Enter payment info (credit card only)
- Confirm order (basic confirmation)
- Receive email confirmation
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Release 2 (Enhanced):
- Product filtering/search
- Adjust quantity in cart
- Save for later
- Multiple shipping options
- Multiple payment methods
- Order tracking link
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Release 3 (Polish):
- Product recommendations
- Guest checkout
- Gift wrapping
- Promo codes
- Advanced payment options
- Post-purchase surveys
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Agent asks: "Do these release slices make sense? Should we adjust scope or priorities?"
User response: [Approve or modify]
After completing the flow, the agent outputs:
# User Story Map: [Scope from Q1]
**Users:** [From Q2]
**Date:** [Today's date]
---
## Backbone (Activities)
[Activity 1] → [Activity 2] → [Activity 3] → [Activity 4] → [Activity 5] → [Activity 6]
---
## Full Story Map
### [Activity 1: Name]
- **[Task 1.1]** — Must-have (Release 1)
- **[Task 1.2]** — Should-have (Release 2)
- **[Task 1.3]** — Nice-to-have (Release 3)
### [Activity 2: Name]
- **[Task 2.1]** — Must-have (Release 1)
- **[Task 2.2]** — Should-have (Release 2)
- **[Task 2.3]** — Nice-to-have (Release 3)
[...repeat for all activities...]
---
## Release Slices
### Release 1: Walking Skeleton (MVP)
**Goal:** Minimal end-to-end functionality
**Stories:**
- [Task 1.1] — [Activity 1]
- [Task 2.1] — [Activity 2]
- [Task 3.1] — [Activity 3]
- [Task 4.1] — [Activity 4]
- [Task 5.1] — [Activity 5]
- [Task 6.1] — [Activity 6]
**Why this is the walking skeleton:** Delivers complete workflow with simplest version of each activity.
---
### Release 2: Enhanced Functionality
**Goal:** Improve core workflow with priority enhancements
**Stories:**
- [Task 1.2] — [Activity 1]
- [Task 2.2] — [Activity 2]
- [Task 3.2] — [Activity 3]
[...]
---
### Release 3: Polish & Expansion
**Goal:** Nice-to-haves, edge cases, optimizations
**Stories:**
- [Task 1.3] — [Activity 1]
- [Task 2.3] — [Activity 2]
[...]
---
## Next Steps
1. **Refine stories:** Use `skills/user-story/SKILL.md` to write detailed stories with acceptance criteria
2. **Estimate effort:** Score stories (story points, t-shirt sizes)
3. **Validate with stakeholders:** Walk through map left-to-right, confirm priorities
4. **Display map:** Print/post as information radiator for ongoing reference
---
**Ready to write user stories? Let me know if you'd like to refine the map or break down specific stories.**
Q1 Response: "Major feature area — E-commerce checkout workflow"
Q2 Response: "Single persona — Online shopper"
Q3 - Backbone Generated:
Browse → Add to Cart → Review Cart → Enter Shipping → Enter Payment → Confirm → Receive Confirmation
Q4 - User Tasks Generated:
Browse Products
├─ View product list (R1)
├─ Search/filter (R2)
└─ Product recommendations (R3)
Add to Cart
├─ Add single item (R1)
├─ Adjust quantity (R2)
└─ Save for later (R3)
Review Cart
├─ View line items + total (R1)
├─ Apply promo code (R2)
└─ Estimate shipping cost (R3)
[...etc...]
Q5 - Release Slices:
Why this works:
Backbone (WRONG):
UI Layer → API Layer → Database Layer → Deployment
Why this fails:
Fix:
Symptom: Story map is just a vertical list, no horizontal narrative
Consequence: Loses communication benefit; still "context-free mulch"
Fix: Force horizontal structure—activities across top, tasks descending vertically
Symptom: Backbone = "Frontend → Backend → Database"
Consequence: Not user-centric, can't deliver value incrementally
Fix: Backbone should follow user workflow, not system layers
Symptom: Release 1 = "Build Activity 1 fully," Release 2 = "Build Activity 2 fully"
Consequence: No end-to-end value until all activities complete
Fix: Walking skeleton = thin slice across ALL activities, incrementally enhanced
Symptom: Trying to map every edge case and acceptance criterion upfront
Consequence: Analysis paralysis, lost big picture
Fix: Start with backbone + high-level tasks, refine later
Symptom: Story map lives in Jira/Miro, never displayed
Consequence: Loses value as information radiator
Fix: Print/post map physically; make it visible to team daily
skills/user-story-mapping/SKILL.md — Component skill with story mapping templateskills/user-story/SKILL.md — Converts map tasks into detailed user storiesskills/proto-persona/SKILL.md — Defines users for mappingskills/jobs-to-be-done/SKILL.md — Informs backbone activitiesskills/user-story/SKILL.md, skills/user-story-splitting/SKILL.md, and skills/user-story-mapping/SKILL.md.Skill type: Interactive
Suggested filename: user-story-mapping-workshop.md
Suggested placement: /skills/interactive/
Dependencies: Uses skills/user-story-mapping/SKILL.md, skills/user-story/SKILL.md, skills/proto-persona/SKILL.md
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