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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: competitive-analysis-process
argument-hint: "[competitor set or market, and the decision this analysis supports]"
description: "Orchestrate a complete competitive analysis across six steps, from landscape to strategic direction. Use when you need the full picture, not a single scan or card."
intent: >-
The umbrella workflow for competitive analysis: six analytical steps — landscape overview, product
comparison, customer-need fulfillment, business baseline, perception and positioning, strategic
direction — each grounded in named frameworks and delegated to the right investigation skill, ending
in the four output artifacts that make the work actionable.
type: workflow
theme: market-intelligence
best_for:
- "Running a complete competitive analysis instead of a one-off scan"
- "Sequencing the market-intelligence skills into one coherent engagement"
- "Choosing which analytical step (and which framework) a competitive question actually needs"
scenarios:
- "New fiscal year, new strategy cycle — run the full competitive analysis on our space"
- "I've got scattered competitive research everywhere; give me the process that organizes it"
estimated_time: "1-2 weeks calendar time; each step is a 20-45 min working session"Orchestrate rigorous, repeatable competitive analysis across six analytical steps, producing four
actionable output types (battle cards, comparison matrices, positioning counter-moves, threat
assessments). This is the umbrella: each step names its purpose, its frameworks, and the skill that
does the work — the way discovery-process orchestrates the discovery skills. Run all six for a
strategy cycle; run one when a specific question walks in the door. The steps build on each other, but
the sequence bends to the decision.
Works best with: the market or competitor set in scope, and the decision this analysis
supports — a roadmap bet, a positioning refresh, a market entry, deal defense. The decision
determines which steps get depth and which get a pass.
Also useful: any existing intelligence — a prior landscape scan, snapshots, battle cards, or
company-intel output — so steps consume rather than repeat it.
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; don't re-ask.
Arriving empty-handed? That works too. The workflow opens by asking what decision is on the table and what you already know, then recommends which steps to run and in what order.
Example invocation: Run the competitive analysis process on the mid-market payroll space — decision: whether we defend down-market or push up. We have last quarter's landscape scan.
autonomous-investigation protocol
(Fact/Inference/Assumption labels, real URLs, confidence stacking), drawing signals from the
channels in intelligence-collection-disciplines.Step 0 — Scope. Confirm the decision, the competitor set (or run
market-landscape-scan to find it), and which steps matter.
Offer the six steps as a numbered menu; recommend a subset when the decision doesn't need all six.
Who's in the game, where, and how they operate — market saturation, fragmentation, disruptive entrants.
market-landscape-scan — segments, player map,
dynamics, whitespace with the dead-zone test.Beyond feature lists: value delivery, architecture, interoperability, lifecycle maturity.
competitive-research-snapshot on the
selected players — its comparison matrix is this step's artifact.How well they serve real customers — outcomes, support quality, ecosystem benefits — not tech specs.
voice-of-customer-miner across the sources your
buyer reads — need themes, quoted verbatims, competitor weak points, and switching triggers, each
with a source-bias note.The financial, organizational, and market baseline: structure, revenue streams, growth levers, channels.
company-intel per deep-dive competitor — its eleven-section
output (financials, offers, org signals) is this step's artifact; FININT sources per
intelligence-collection-disciplines do the heavy lifting.How buyers perceive you versus them — in promise, emotion, and mental association, not capability.
positioning-statement.Where they're going, not where they are — the step that lets you preempt instead of react.
intelligence-collection-disciplines — TECHINT
(patent clusters, trademark filings, preprints), HUMINT (hiring surges, leadership moves), FININT
(earnings language, M&A themes), MASINT (supply chain, facility buildout) — fused via the
confidence-stacking rule. competitive-intel-watch keeps
this step running on a cadence after the initial pass.Close by building what the audience consumes — offer as a numbered menu:
battle-card-builderThen set the maintenance cadence: competitive-intel-watch on
the schedule the artifact mapping in intelligence-collection-disciplines prescribes (weekly SIGINT
layer for cards, quarterly deep passes for direction).
A copy/paste engagement tracker for all seven steps lives in template.md.
Scoping to the decision (fictional): the decision is deal defense against one rival in enterprise deals. The right subset is Steps 2, 3, and 5 on that one competitor, straight into a battle card — Steps 1, 4, and 6 add days, not win-rate. The orchestrator's value is permission to skip: "Based on your decision, I recommend Steps 2→3→5 only. Run the full six?
Step 6 catching what Steps 1-5 missed: the present-state read shows a competitor stable and mid-pack. The direction pass finds a patent cluster in a new classification, four platform-engineer postings, and an earnings call where the CFO declined to break out R&D — three disciplines, one story: a platform pivot in progress. The threat assessment brief re-ranks them from "monitor" to "act," a quarter before their announcement would have forced a reactive scramble.
See examples/sample.md for a complete worked engagement (fictional
FSM-software market) showing the orchestration decisions — scoping menu, recorded skips, and
step-to-step compounding — with links into the delegated skills' own worked artifacts.
examples/sample-industrial.md shows the umbrella bending —
steps merged, one run out of order, cadence slowed — with each call's reasoning stated.
market-landscape-scan (Workflow) — Step 1competitive-research-snapshot (Workflow) — Step 2voice-of-customer-miner (Workflow) — Step 3company-intel (Workflow) — Step 4positioning-statement (Component) — Step 5competitive-intel-watch (Workflow) — Step 6 cadence + maintenancebattle-card-builder (Workflow) — Step 7 outputintelligence-collection-disciplines (Component) — signal channels throughoutautonomous-investigation (Workflow) — evidence discipline throughout
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