🧠 PM Skills — 1169 Professional Agent Skills for Claude, ChatGPT, Gemini, Cursor, Codex & Hermes

Your landlord kept your deposit. Your mom got a medical bill that makes no sense. You got laid off on a Tuesday. Someone you love died, and no one handed you the checklist.

Generic AI gives you filler for the moments that matter most. PM Skills gives your AI the exact framework a senior professional would use — for 1,117 real tasks, across work and life.

👉 Start with your moment, not the catalogue → Skill Packs

🍼 New parent · 💼 Just laid off · 🌍 New to this country · 👵 Caring for a parent · 🕊️ Losing someone · 💸 Money in crisis · 🔑 Starting over · 🤖 Getting serious about AI

What is PM Skills?

PM Skills is an open-source library of 1169 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.

Decode a lease before you sign it. Write a PRD your team can execute. Simulate the promotion committee before the real one meets. Check the weather with zero API keys. Generic AI gives you filler; these give you the structure a senior professional actually uses.

Works natively in Claude Code and Hermes Agent, with ready-to-paste exports for ChatGPT, Gemini, Cursor, Codex and 8 more tools. (PM stands for Professional, not just Product Management.)

Related MCP server: Awesome Agent Skills MCP Server

🐣 New here? Pick a door — each takes about 30 seconds

1. Just looking → open the ▶ Playground and run a skill in your browser. Nothing to install, nothing to sign up for.

2. You use Claude Code → type /plugin, search pm-skills, install. Done — ask "decode this lease" and watch.

3. You use anything else → npx pm-claude-skills add and pick your tool from the menu (Cursor, Codex, Windsurf, ChatGPT, Gemini…).

4. Want the guided tour → browse the searchable catalogue site and subscribe to get an email whenever new skills launch.

Nothing here can scare your setup. A skill is a markdown file your AI reads — no runtime, no telemetry, no accounts. Installing copies text files; uninstalling is deleting them. Skeptical? Good instinct: read one first — it's designed to be read by humans too.

Don't know what to look for? Describe your task in plain words at 🔎 find — "my landlord kept my deposit", "board meeting on Thursday" — and it names the skill.

Never miss a new skill. New ones drop regularly — subscribe to the newsletter and get a short email with a real example whenever they launch. No spam, unsubscribe anytime. Prefer no email? Follow via RSS or browse the newsletter archive.

🧠 Not just what to do — how to think

Most skills here answer "do this task." A new family answers "think differently about my life."

LLMs have one big weakness: they're too correct. On open-ended questions they give the safe, average, textbook answer — technically right and completely forgettable. Two new bundles fight that head-on (inspired by parallel-divergent-ideation research):

💭 pm-thinking — think better

Escape the generic answer and stress-test your own decisions:

• the-third-answer — skip the obvious, find the idea worth having

• five-minds — one question, five clashing minds, then converge

• decision-panel — your call, judged by five advisors

• red-team-my-plan — attack it before reality does

• devils-advocate-on-demand — fights the "that's great!" bias

• poke-holes-in-this — only the weaknesses, no praise

🎯 pm-focus — get unstuck

ADHD-friendly executive function (useful for everyone):

• where-do-i-start — chaos → one next action

• task-to-first-step — beat activation-energy paralysis

• overwhelm-triage — everything urgent → a calm short list

• the-one-thing — the single highest-leverage move

• build-my-memory-file — a MEMORY.md so AI gets you

• should-i-send-this — catch the message you'd regret

✨ See it in action

It's not just a folder of files — the whole library is explorable, runnable, and a little bit magic. All of this runs in your browser, free, nothing to install:

▶ Open the Playground to run any of the 1169 skills with your own key — or just browse them all.

💬 What can I ask it to do?

Anything below is a real ask that activates a real skill — say it in your own words, the description does the routing:

…all 1169 asks live in the catalog.

⚡ Quick start

No npm install needed — npx pm-claude-skills … always runs the latest. npx pm-claude-skills list shows everything in your terminal. Full per-tool instructions: docs/installation.md.

📚 The skills

Every skill follows the same discipline: what it produces, the inputs it needs, a real framework (severity scales, decision rules — not vibes), a concrete output template, quality checks, and anti-patterns. All 1169 pass the SkillSpec L3 gate and a security audit in CI.

For everyone — life's paperwork and decisions

For professionals — 35 fields

…plus HR, sales, operations, research, healthcare, educators, writers, social media, and more — the full profession index, or by bundle in plugins/ (130 bundles). Install any bundle: /plugin install pm-decoders@pm-skills.

Meta

Before installing anyone's skills (including these): skill-vetting — a security read for SKILL.md files. The library's own standard lives in SKILLSPEC.md; every skill's level is enforced in CI.

🔍 What does a skill look like?

A skill is a single markdown file with a name, a description that tells the assistant when to activate it, and a body containing the working framework: required inputs, decision rules or severity scales, a concrete output template, quality checks, and anti-patterns. The assistant reads it and gains the judgment; humans can read, audit, and edit the same file. No runtime, no lock-in.

---
name: lease-decoder
description: "Decode a residential lease into plain English and rank the
  clauses that can hurt you. Use when someone asks 'what am I signing'…"
---
## Framework: Severity Scale
- 🔴 Can cost you real money — auto-renewal into a full new term, break
  penalties beyond re-rental costs, deposit conditions written to fail…

That's the whole trick: it's markdown. Your agent reads it and gains the judgment; you can read it too, audit it, edit it, or write your own. No lock-in, no runtime, no telemetry.

💸 What it costs you, and how to prove it

Cut your token bill

The pm-tokens bundle optimizes every stage of your agent's token journey — no API keys, stdlib Python, nothing leaves your machine. Five habits, typically 30–60% off a session's token flow:

# 1. Map the repo instead of reading it (~3% of the cost of reading everything)
python3 skills/repo-map/scripts/repo_map.py .

# 2. Crush bulk before it enters context (98% smaller on uniform JSON; errors always survive)
python3 skills/context-crusher/scripts/context_crush.py --mode json --file response.json

# 3. Measure what anything costs — at YOUR prices, times YOUR call volume
python3 skills/token-cost/scripts/token_cost.py --file CLAUDE.md --price-in 3 --calls 200

Plus the judgment skills: token-diet (output costs 3–5× input — diet it where safe), context-budget (cache-aware layout: stable first, volatile last), and session-handoff (resume at ~5% of transcript size). See your own breakdown in the 🪙 Token Dashboard — paste what rides in your context, get computed per-piece savings, all in-browser. The full how-to: docs/SAVE-TOKENS.md.

🤝 Make the most of the cowork skills

The pm-cowork bundle is 100 skills for the office work an AI coworker actually does. Install it (/plugin install pm-cowork@pm-skills), then — the whole trick — describe your mess, don't name the skill: say "my inbox is 4,000 deep", "nobody reads my status updates", "this spreadsheet came from someone who left" — the right skill activates on the ask.

Start where it hurts:

Three habits that compound: (1) The weekly review is the keystone — it feeds task-triage-matrix, deep-work-blocking, and personal-wip-limits automatically. (2) The skills chain on purpose — email-to-tasks feeds the task triage; the meeting audit feeds async-instead; delegation-brief hands off what the triage says to shed — follow the links inside each skill. (3) Teams adopt one norm at a time — start with agenda-or-cancel or working-agreements, let it stick, then add the next; the ten-norms-on-Monday rollout is how none of them survive.

Prove a skill works, and stop paying MCP rent

Two CLI tools for the trust-and-cost problems the ecosystem keeps hand-waving — both keyless-to-inspect, both one command:

# Does your skill actually work? Prove it. Paired A/B — skill on vs off, same tasks,
# REAL token counts from the API's usage fields, optional blind judge, sha-pinned receipt.
npx pm-claude-skills prove --skill ./my-skill --tasks tasks.txt --runs 2 --judge
npx pm-claude-skills prove --skill ./my-skill --tasks tasks.txt --dry-run   # plan + call count, spends nothing

# Your MCP servers are charging you rent. Measure it: per-server token cost,
# unused-in-N-days flags, "disconnect these three, save X tokens per message".
npx pm-claude-skills mcp-audit --connect

prove exists because the ecosystem is full of "65% better!" claims and almost none are measured — it's the honest-broker harness (the JetBrains "advertised 65%, measured 8.5%" story is exactly why). mcp-audit reads your Claude configs, speaks real MCP to each server to count its schema tokens, and scans your session logs for what you actually use. See also the 📊 AI Spend page — every agent's cost (Claude Code, Codex, Copilot) in one meter, all in-browser.

Agent safety: the pm-seatbelt bundle is the pre-flight checklist before an agent touches email, the browser, or files — least-privilege reviews, prompt-injection spotting, and the blast-radius drill for going autonomous. And RFC 0002 — HANDOFF.md is a dead-simple session-handoff convention (your agent, but it remembers Monday) — a file, not a server, with reference hooks.

Quality, not just quantity

• Every skill passes the SkillSpec L3 gate — structure, framework, quality checks, anti-patterns — enforced in CI on every commit

• Eval-scored — 208 scored outputs, avg 4.8/5, judged blind

• Security-audited — a dedicated CI workflow sweeps every skill and script; calculators are stdlib-only and deterministic with byte-exact output tests

• Honest by design — decoders end with a not-legal-advice line, calculators name what they don't model, simulators debrief out of character, and skills that shouldn't ghostwrite (student statements) coach instead

🎁 Beyond the skills (the bonus material)

The library grew an ecosystem — all optional, all linked from the full showcase:

📄 The one-page cheatsheet — the whole library on one printable poster · ▶ Skill Playground — try any skill in your browser, no install · 📸 the Gallery — the creative side, in screenshots · Anti-Pattern Museum — 2,900+ shareable rules · The Handbook (also a real printed book) · Workflow recipes · Subagents & slash commands · MCP server + REST API · n8n / Slack / Obsidian integrations · The Boardroom · SkillBench · Org Edition · 🇪🇸 🇫🇷 🇨🇳 🇯🇵 translations

Lint your own skills in CI

The validator that keeps these 1,099 honest, as a GitHub Action:

- uses: mohitagw15856/pm-claude-skills@v76
  with:
    path: .claude/skills   # optional — it finds them otherwise

It checks frontmatter, the Use when … trigger clause a model actually matches on, leftover template text, and structure — and annotates each finding inline on the pull request diff, because a finding on the line beats a finding in a log nobody opens. Also available as npx pm-claude-skills skillcheck.

Zero dependencies, no Docker image, no model call.

Companion tools — for the bits a skill shouldn't guess

A skill can tell a model to check the contrast. Only arithmetic can actually check it. Where a question has a right answer rather than a good one, the skill calls out to a tool instead of estimating — both are MIT, zero-dependency, and neither makes a model call, so they cost nothing to run and return the same answer every time.

notugly — design systems that are provably not ugly. #777777 on white is 4.478 and fails AA; #767676 is 4.542 and passes, and no amount of looking at a screenshot separates those. accessibility-audit, design-system-audit, design-handoff-brief, brand-guidelines and the Figma reviews now fill their contrast rows from npx notugly; the MCP server exposes check_contrast directly; and design-system-generate wraps it for the case where there is no design system and something ships on Thursday.

rulebook — 37 games, 203 rulings, and how commonly each house rule is actually played. board-game-night-planner uses it for teach times and for settling the argument, because a rules disagreement is usually two groups who learned it differently and are both partly right.

🆕 Latest

v76.2.1 — SkillCheck as a GitHub Action, and the design skills now compute their contrast numbers instead of estimating them.

Everything else is in the changelog and the releases — a README should say what this is, not what it was.

❓ First-timer questions, straight answers

🤝 Contributing

Add a skill via PR (the standard, CONTRIBUTING), request one via issue, or publish your own repo to the community index and earn the badge. Translations follow the pattern in skills-i18n/.

❤️ Support

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.

🏢 Sponsor the project

Individuals sponsor via GitHub Sponsors. Organisations interested in a sponsored logo + link: email me about a clearly-disclosed placement in this section — that's the whole arrangement: a logo and link only, never product integration or a product endorsement. I keep full editorial independence and may decline any sponsor whose product conflicts with users' interests.

📄 License

MIT — use them, fork them, ship them at work. Skills are judgment, and judgment wants to be free.

*Built by Mohit with Claude. 1169 skills · 130 bundles · 35 professions · every commit gated. The long version of this README — every feature, wave, and frontier bet — lives in the Showcase.*