About Pm Skills
Pm Skills is an open-source library of Markdown skill files for assistants, covering professional tasks from product management to job searches and document interpretation. It is for people using supported AI tools who want structured deliverables, with frameworks, templates, checks, and anti-patterns in each skill.
Key features
- 01Markdown-based professional skills
- 02Frameworks, templates, and quality checks
- 03Bundles for product work and other roles
- 04Installer copies selected skills to tool configs
- 05MCP server and read-only REST API
Use cases
- 01Drafting a PRD from research notes
- 02Preparing stakeholder updates and launch plans
- 03Interpreting leases, bills, or contracts
- 04Preparing for job applications and interviews
MCP support
The package includes an MCP server that serves skills on demand to MCP clients. It also offers a read-only REST API for automation tools.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEEnglish · 简体中文 · 繁體中文 · 한국어 · 日本語 · Español · Português (BR)
🧠 PM Skills: Professional Agent Skills for Claude, ChatGPT, Gemini, Cursor, Codex & Hermes
One request to your AI, one finished deliverable back: the PRD, the stakeholder update and the decision call, at a senior product manager's standard.
Try it right now. Install below, then paste this into your assistant:
Here are my discovery notes from six customer calls: [paste your notes].
Turn them into a one-page PRD, a risk register with owners, and a
stakeholder update I can send to leadership today.
Your assistant loads user-interview-synthesis, prd-template and stakeholder-update and returns the three documents, not advice about writing them. Not a PM? The same library covers engineers, job seekers, students, founders and 中文用户, below.
▶ Playground · ⚡ Install · 📚 All skills · 📘 Worked examples · 🏆 Best AI for your job · ❓ How do I…? · 🖼 Showcase · 🌳 Tech tree · 🇨🇳 简体中文 · 繁體中文 · 한국어 · 🆕 Changelog
Your landlord kept your deposit. You got laid off on a Tuesday. Your boss wants the PRD by Friday. Generic AI is a very confident intern. PM Skills is the senior colleague's notes: 1314 of them, one markdown file each. (PM stands for Professional. Yes, we get asked.)
PM Skills is an open-source library of 1314 Agent Skills — plain-markdown SKILL.md files that teach an AI assistant to do one professional task to a senior professional's standard, from writing a PRD to decoding a lease or running a blameless postmortem. Each skill bundles the framework, an output template, quality checks, and anti-patterns. It is MIT-licensed and works with Claude, ChatGPT, Gemini, Cursor, and Codex.
⚡ Install in 30 seconds
npx pm-claude-skills add # any tool: Cursor, Codex, Windsurf, Cline, Zed…
# In Claude Code: /plugin → search pm-skills (official Anthropic directory)
npx --registry=https://registry.npmmirror.com pm-claude-skills add # 中国大陆镜像
Then just say what you need: "Decode this job ad and tell me where I am weak." Nothing here can break your setup: a skill is a markdown file your AI reads; installing copies text files, uninstalling deletes them. Read one first. Per-tool instructions: docs/installation.md · ChatGPT and Gemini: copy from exports/ · MCP: claude mcp add pm-skills -- npx -y -p pm-claude-skills pm-claude-skills-mcp
🌅 Claude Duet, OpenAI Dots and other proactive agents
PM Skills works with Claude Duet, Anthropic's proactive agent. Duet uses the skills in your Claude account, so every skill here can run inside it. Agents that work while you're away fail in new ways: briefs that pad, uncited claims, acting instead of drafting, saying "done" about a draft. So 21 Duet-ready skills are built for unattended use. They keep briefs short and cited, draft instead of sending, and always ask before anything is sent, posted, paid, signed or deleted.
The five skills: prepare-for-duet · standing-orders · approval-policy-designer · morning-brief-designer and interrupt-rules · agent-kill-switch-plan
Watchers for a small business: cash-watch, payroll-eve-check, signature-pipeline-watch, crm-hygiene-sweep and store-watch. They cover Stripe, Xero, QuickBooks, Gusto, DocuSign, HubSpot and Shopify. For teams: shared-agent-charter, for a Dot or a shared agent in Slack or Teams.
Get started
- Into Claude and Duet: press ⬇ Add to Claude on any skill's page, then upload the ZIP in claude.ai (Settings, Skills, Upload skill).
- A starter pack of 3 or 4 skills (founder, freelancer, shop owner, team lead, business ops) on the Duet page, or
npx pm-claude-skills add --agent claude --skills standing-orders,cash-watch,store-watch. - The whole bundle:
npx pm-claude-skills add --bundle pm-duet.
Test it safely: the injection drill has 12 planted instructions to check whether your agent reports or obeys them. The fake-apps sandbox gives invented Gmail, Stripe and Shopify data where every send or payment is refused and logged.
Honest status: every one of these skills is designed for Duet. None has been tested on Duet yet, because it's a waitlisted research preview. File a Tested on Duet report and a skill moves up a tier, with your name on it. They're written to work with Dots and Muse too: see how the three compare.
🥊 The demo
More to see: the Showcase gallery has the Playground, the tech tree, Galaxy 3D and Skill City.
🧭 How it works
More detail: the installer, the MCP server and the REST API
A skill is one plain-markdown SKILL.md file: a description that tells your assistant when to load it, plus the working framework, output template and quality checks it follows. The installer (npx pm-claude-skills add) copies the skills you choose into the config folder of the tool you use, so they load only when a request matches. The MCP server serves skills on demand to any MCP client instead, and the same package exposes a read-only REST API for n8n, Make and other automations. No runtime, no account, nothing resident: uninstalling deletes text files.
🧑🤝🧑 Pick your path
|
| Hi, I'm Nib. Pick the card that sounds most like you. Each one opens three starter skills with a prompt you can copy. |
None of these you? docs/start has all six paths, a map of every bundle by what you want to do, a four-question quiz and a five-level quest log. Mid-something big? Skill Packs start from your moment: a new baby, a layoff, a move, a loss.
🗺 What you can do
The product-management core first, then the bundles everyone borrows. Each one is a real bundle in plugins/.
The table: what each bundle gives you, what you bring, and links
| Your job this week | Bundle | What you get | What you bring |
|---|---|---|---|
| Turn research into decisions | pm-discovery | Interview guides, job stories, synthesis with quotes and prevalence | Transcripts or raw notes |
| Write the PRD and the updates | pm-essentials | PRD, meeting notes, stakeholder updates, competitive analysis | A feature brief; your goals |
| Plan the quarter | pm-planning | OKRs, RICE/MoSCoW/Kano prioritisation, roadmap narrative | A backlog and a company goal |
| Ship the sprint and the launch | pm-delivery | Sprint plans, tech specs, A/B test plans, launch checklists | Stories, capacity, dates |
| Read the numbers | pm-data | Metrics frameworks, cohort and churn analysis, dashboard briefs | Your metrics or a CSV |
| Watch the market | pm-strategy | Competitor teardowns, signal tracking, stakeholder influence maps | Competitor names and sources |
| Launch and sell it | pm-gtm | GTM plans, content calendars, email campaigns | A product and an audience |
| Keep the customers | pm-cs | Health scorecards, QBR decks, churn analysis, renewal playbooks | Account data, close notes |
| Make the hard call | pm-decisions | Typed ship-or-slip, renew-or-churn, hire-or-pass calls with probabilities | The decision's real state |
| Escape the average answer | pm-thinking | Red-teaming, five clashing minds, decision panels | A plan or question worth attacking |
| Read before you sign | pm-decoders | Leases, bills, benefits and contracts decoded with the money maths | The document itself |
| Land the next job | pm-jobsearch | JD decoding, outreach, interview prep, follow-up sequences | The JD and your CV |
| 用中文工作 | pm-china-work | 周报、述职、复盘,中国职场的写法 | 你的工作记录 |
Install any bundle: /plugin install pm-decoders@pm-claude-skills, or npx pm-claude-skills add --bundle pm-decoders. All 153 bundles with every skill and install command: docs/catalogue.md · every skill in one page: SKILLS.md · chain them: WORKFLOWS.md
🇨🇳 中文用户
用中文提问即可。 十三个面向中文用户的技能包:周报述职(pm-china-work)、考公考研(pm-china-exams)、劳动合同与补偿(pm-china-life)、外贸、制造业、合规、出海等,73 个技能有简体中文版、27 个有繁体中文版。
国内安装:npx --registry=https://registry.npmmirror.com pm-claude-skills add,镜像与离线包见 docs/CHINA.md。
试着说:"帮我写周报" · "公司要裁我,能拿多少补偿?" · "下个月公务员面试,帮我模拟一轮。"
完整中文说明(技能包全表、常见问题、国内工具与本地模型、海报与分享卡):简体中文 README · 港台用户:繁體中文 README
🆕 What's new
What each release adds, and what to try saying
| Release | What it adds | Try saying |
|---|---|---|
| v83.2.0 Duet support | 21 Duet-ready skills for Claude Duet and other proactive agents: standing orders, approval policies, a kill switch, small-business watchers (cash, payroll, signatures, CRM, store), team charters, an injection drill, a fake-apps sandbox, starter packs and an Add to Claude ZIP for every skill | "Write standing orders for my Duet" · "Watch my Stripe and Xero every morning" |
| v83.0.0 For everyone, everywhere | Easy Read, Teach me, voice and mixed-language questions, local rules for your place, a skill for every form, newcomer, informal-economy, disability and after-a-disaster skills, the library offline on a Raspberry Pi, a USSD menu for any phone, right-click any file, skill apps, partner checks and an expert-graded jobs exam | "Explain this P60 to me" · "मेरा landlord deposit नहीं दे रहा" |
| v82.0.0 China for everyone, Korea and Southeast Asia | Teachers, parents, trade and manufacturing packs, 适老化, Korean, Japanese and Southeast Asian packs, lite skills for local models, Word and WPS add-ins, team sync | "帮我写一份新课标教案" · "연말정산 어떻게 해요?" |
Reaching everyone (v83): read any skill in Easy Read, have it teach you instead of doing it, ask by voice in your own language (Hinglish and Taglish included), look up any form, open a skill as an app, or use it with no internet: on a Raspberry Pi, over USSD on a basic phone, or from the right-click menu with a free local model.
Everything older: CHANGELOG.md · the write-ups: docs/WHATS-NEW.md · most-wanted skills and votes: the tech tree
✅ Trust and quality
An honest summary of what is checked, measured and still unreviewed, computed from the repo on every change:
The numbers in full, with links, and how the library checks itself
- Checked on every change, in CI: structure (SkillCheck, all 1,314 skills at the L3 gate), a security audit, a near-duplicate check, a count-drift check, translation parity (178 translations in 10 languages), and a prompt-injection suite of 15 hostile documents. A change that fails any of them does not merge.
- Eval cases: 418 of the 1,314 skills carry eval cases (
evals/cases.json), and 163 have a worked example inexamples/. - Measured scores: 399 skills have blind-judged scores on the leaderboard (average 4.6/5 across the models tested); the benchmark report publishes the negative findings too. Everything unscored is unscored, not assumed good.
- Human review: of the 161 skills rated high-stakes in risk tiers, 0 have a current review by a qualified professional. The expert-review programme and its ranked queue exist for exactly this; if you hold a relevant credential, reviewing one skill is the most valuable contribution available.
- Reported savings: none recorded yet. Tell us what a skill saved you: hours and money only, added up in public on the Wall of Wins.
- Checked by people who do the job: organisations can vouch for skills as partners, and the jobs exam has AI answers marked blind by working professionals on their own marking schemes. Both start empty and fill only with real participants.
- It rewrites itself, in public: the weakest skills are periodically rewritten by a model and kept only if a judge scores the rewrite higher; every attempt, including the losses, is in the evolution log.
- Honesty rules baked in: decoders end with a not-advice line (the severity scale), calculators name what they do not model, simulators debrief out of character. PM Skills is not a substitute for a professional.
Privacy, stated plainly: everything installable runs locally. Skills are inert markdown on your machine; the CLI, the exports and the local MCP server send nothing anywhere, and telemetry is off unless you set PM_SKILLS_TELEMETRY=1 (skill name only, never content). The two things that do leave your machine are your prompts to whichever model provider you chose, and requests to the hosted playground or hosted MCP if you opt to use them. Full statements: docs/TELEMETRY.md · report a vulnerability: SECURITY.md · licence: MIT. Verify a release: npx pm-claude-skills verify --release (signed SBOM, Sigstore provenance).
🙌 Community
- Show and Tell: share what a skill produced, including what it got wrong: open a Show and Tell. The best entries become showcases.
- Vote on what gets built next: the tech tree ranks open skill requests by 👍; the top three are in research.
- Roadmap: confirmed direction in ROADMAP.md, the live signals behind it in docs/roadmap.md.
- Chat: TODO, a Discord or GitHub Discussions link goes here once the maintainer enables one; until then, issues are the front door.
🤝 Contributing
Add a skill by PR (the standard, CONTRIBUTING), request one and watch it appear on the tech tree, or claim a good first translation. 中文贡献者:Gitee Issue 也可以。
Contributors
Mohit Aggarwal 🚧 💻 🖋 🌍 📖 🚇 | Thejesh 💻 🐛 🖋 | Chanhyo Jung 🖋 | Matthew Blode 🔌 | InsightFactoryAPP 🔌 | Martinius 🔌 |
Credits follow the all-contributors spec (.all-contributorsrc). Contributed and not listed? Open a pull request running node scripts/build-contributors.mjs --add <your-login> <type>, or ask in an issue. Translators: pick a skill from the claim board.
Star history
If a skill saved you real money or a real mistake, star the repo: it's how others find it. Sponsors fund the playground's free runs and get naming rights, not influence: become a sponsor.
MIT. Use them, fork them, ship them at work. Skills are judgment, and judgment wants to be free.
Built by Mohit with Claude. 1314 skills · 153 bundles · 35 professions · every commit gated. The long version lives in the Showcase.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.