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Author SHA1 Message Date
mohitagw15856 edb663ad72 CI workflow to run evals and update the leaderboard (#43)
Lets the leaderboard show real numbers without a local key: the new
"Update Skill Leaderboard" workflow (workflow_dispatch) runs the eval harness
with the ANTHROPIC_API_KEY secret, commits evals/results.json, and the Pages
deploy re-renders the public leaderboard with real data.

- .github/workflows/eval-leaderboard.yml: manual trigger, contents: write,
  runs run-evals.mjs + build-leaderboard.mjs, commits results.json.
- deploy-playground.yml: also trigger on evals/results.json (and the build
  scripts) so the committed results refresh the live page.
- evals/README + CHANGELOG document the CI route.


Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-18 12:58:45 +01:00
mohitagw15856 3ccfd6b5c7 Dogfood the Action + bump to v20.0.0 (Agentic Tooling) (#42)
- .github/workflows/pr-description.yml: uses our own Action (uses: ./action)
  to auto-write this repo's PR descriptions when a PR opens empty; skips
  quietly without ANTHROPIC_API_KEY and on forks. A living demo.
- Version -> 20.0.0 (Agentic Tooling): bundles the GitHub Action, generate
  command, and evals/leaderboard for npm. README badge + What's New (v19
  collapsed), CHANGELOG [Unreleased] -> [20.0.0], SECURITY table.


Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-18 12:52:37 +01:00
mohitagw15856 51bf4be52f AI-powered tooling: GitHub Action, generate command, evals + leaderboard (#41)
Three features riding 2026 trends (agentic CI, codegen, evals), sharing one
dependency-free Anthropic client (bin/lib/anthropic.mjs).

1. GitHub Action (action/) — run any skill in a consumer repo's CI:
   uses: mohitagw15856/pm-claude-skills/action@main. Composite action +
   run.mjs (loads the bundled SKILL.md, calls the API, exposes result as a
   step output / file). Docs with auto-PR-description example.

2. generate command — `npx pm-claude-skills generate --from <url|file>` turns
   a team's docs into a SKILL.md following the authoring standard
   (bin/generate.mjs, wired into the CLI; needs ANTHROPIC_API_KEY).

3. Skill evals + Leaderboard — evals/run-evals.mjs runs each case across models
   and scores output with an LLM judge (structure/completeness/usefulness/
   grounding); scripts/build-leaderboard.mjs renders web/leaderboard.html
   (built in the Pages deploy, falls back to clearly-labelled example data).
   Linked from README, catalog, and playground.

Offline-testable parts verified (prompt building, skill loading, graceful
errors, leaderboard render). SkillCheck/audit/exports all green.


Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-18 08:37:40 +01:00
21 changed files with 825 additions and 16 deletions
+7
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@@ -10,6 +10,10 @@ on:
paths:
- 'skills/**'
- 'web/**'
- 'evals/results.json'
- 'skill-tiers.json'
- 'scripts/build-docs.mjs'
- 'scripts/build-leaderboard.mjs'
- '.github/workflows/deploy-playground.yml'
workflow_dispatch:
@@ -41,6 +45,9 @@ jobs:
- name: Build the static skill catalog (web/catalog.html)
run: node scripts/build-docs.mjs
- name: Build the skill leaderboard (web/leaderboard.html)
run: node scripts/build-leaderboard.mjs
- name: Configure Pages
uses: actions/configure-pages@v5
+67
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@@ -0,0 +1,67 @@
name: Update Skill Leaderboard
# Runs the eval harness with your ANTHROPIC_API_KEY secret, commits the real
# results (evals/results.json), and lets the Pages deploy re-render the public
# leaderboard with real numbers. Manual trigger so it never burns tokens by
# surprise. (Uncomment the schedule to re-run, e.g. monthly, after model upgrades.)
on:
workflow_dispatch:
inputs:
models:
description: 'Comma-separated model ids to score'
required: false
default: 'claude-sonnet-4-6,claude-haiku-4-5-20251001'
judge:
description: 'Judge model id'
required: false
default: 'claude-opus-4-8'
# schedule:
# - cron: '0 6 1 * *' # 06:00 on the 1st of each month
permissions:
contents: write
concurrency:
group: eval-leaderboard
cancel-in-progress: false
jobs:
evaluate:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Run evals
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
run: |
if [ -z "$ANTHROPIC_API_KEY" ]; then
echo "::error::ANTHROPIC_API_KEY secret is not set. Add it in Settings → Secrets and variables → Actions."
exit 1
fi
node evals/run-evals.mjs \
--models "${{ github.event.inputs.models || 'claude-sonnet-4-6,claude-haiku-4-5-20251001' }}" \
--judge "${{ github.event.inputs.judge || 'claude-opus-4-8' }}"
- name: Build the leaderboard page (sanity check)
run: node scripts/build-leaderboard.mjs
- name: Commit results
run: |
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
git add evals/results.json
if git diff --cached --quiet; then
echo "No change in results."
else
git commit -m "chore(evals): refresh leaderboard results"
git push
echo "Committed evals/results.json — the Pages deploy will render real numbers."
fi
+71
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@@ -0,0 +1,71 @@
name: Auto PR description
# Dogfoods our own Action: when a PR is opened with an empty body, run the
# pr-description-writer skill on the diff and fill it in. A living demo of
# `uses: ./action`. Requires the ANTHROPIC_API_KEY repo secret; skips quietly
# without it (and on forks, which can't read secrets).
on:
pull_request:
types: [opened]
permissions:
contents: read
pull-requests: write
jobs:
describe:
if: github.event.pull_request.head.repo.full_name == github.repository
runs-on: ubuntu-latest
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
steps:
- name: Check for API key and an empty PR body
id: gate
uses: actions/github-script@v7
with:
script: |
const hasKey = !!process.env.ANTHROPIC_API_KEY;
const body = (context.payload.pull_request.body || '').trim();
if (!hasKey) core.info('ANTHROPIC_API_KEY not set — skipping.');
if (body) core.info('PR already has a description — skipping.');
core.setOutput('go', String(hasKey && !body));
- name: Checkout
if: steps.gate.outputs.go == 'true'
uses: actions/checkout@v4
with: { fetch-depth: 0 }
- name: Collect the diff
if: steps.gate.outputs.go == 'true'
id: diff
run: |
{
echo "text<<DIFF_EOF"
echo "Title: ${{ github.event.pull_request.title }}"
echo "Commits:"; git log --oneline origin/${{ github.base_ref }}..HEAD | head -30
echo; echo "Changed files:"; git diff --stat origin/${{ github.base_ref }}...HEAD | tail -40
echo "DIFF_EOF"
} >> "$GITHUB_OUTPUT"
- name: Write the PR description with the skill
if: steps.gate.outputs.go == 'true'
id: skill
uses: ./action
with:
skill: pr-description-writer
input: ${{ steps.diff.outputs.text }}
api_key: ${{ secrets.ANTHROPIC_API_KEY }}
- name: Update the PR body
if: steps.gate.outputs.go == 'true'
uses: actions/github-script@v7
env:
BODY: ${{ steps.skill.outputs.result }}
with:
script: |
await github.rest.pulls.update({
owner: context.repo.owner, repo: context.repo.repo,
pull_number: context.issue.number,
body: process.env.BODY + '\n\n<sub>✍️ Drafted by the pm-claude-skills GitHub Action (pr-description-writer).</sub>',
});
+1
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@@ -13,3 +13,4 @@ venv/
# Generated docs catalog (built in CI for Pages)
web/catalog.html
web/leaderboard.html
+27 -2
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@@ -9,7 +9,31 @@ each new wave of skills bumps the **major** version, extensions and fixes bump
## [Unreleased]
_Nothing yet._
### Added
- **One-click leaderboard updates in CI** — `.github/workflows/eval-leaderboard.yml`
("Update Skill Leaderboard") runs the evals with the `ANTHROPIC_API_KEY` secret, commits
`evals/results.json`, and the Pages deploy re-renders the public leaderboard with real
numbers — no local key needed. The deploy workflow now also triggers on
`evals/results.json`.
## [20.0.0] — Agentic Tooling — 2026-06-18
### Added
- **Dogfooded Action** — `.github/workflows/pr-description.yml` uses our own GitHub Action
(`uses: ./action`) to auto-write this repo's PR descriptions when a PR opens with an
empty body (skips quietly without the `ANTHROPIC_API_KEY` secret and on forks).
- **GitHub Action** ([`action/`](action/)) — run any skill in CI: `uses:
mohitagw15856/pm-claude-skills/action@main` to auto-write PR descriptions,
changelogs, release notes, or code-review checklists. Composite action +
dependency-free runner.
- **`generate` command** — `npx pm-claude-skills generate --from <url|file>` turns a
team's documentation into a `SKILL.md` that follows the authoring standard
(`bin/generate.mjs`, needs `ANTHROPIC_API_KEY`).
- **Skill evals + Leaderboard** — `evals/run-evals.mjs` scores skill output across models
with an LLM judge (structure / completeness / usefulness / grounding);
`scripts/build-leaderboard.mjs` renders a public `web/leaderboard.html` (built in the
Pages deploy, linked from the README, catalog, and playground).
- Shared, dependency-free Anthropic client (`bin/lib/anthropic.mjs`) used by all three.
## [19.0.0] — Security Auditor, Personas & Catalog — 2026-06-18
@@ -199,7 +223,8 @@ Earlier releases (v1.0.0 v5.0.0) predate this changelog. See the
[article series](README.md#-the-article-series) for the full history of how the
library grew from the first PM toolkit to 100+ skills.
[Unreleased]: https://github.com/mohitagw15856/pm-claude-skills/compare/v19.0.0...HEAD
[Unreleased]: https://github.com/mohitagw15856/pm-claude-skills/compare/v20.0.0...HEAD
[20.0.0]: https://github.com/mohitagw15856/pm-claude-skills/compare/v19.0.0...v20.0.0
[19.0.0]: https://github.com/mohitagw15856/pm-claude-skills/compare/v18.0.0...v19.0.0
[18.0.0]: https://github.com/mohitagw15856/pm-claude-skills/compare/v17.0.0...v18.0.0
[17.0.0]: https://github.com/mohitagw15856/pm-claude-skills/compare/v16.0.0...v17.0.0
+39 -9
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@@ -12,7 +12,7 @@
[![Platforms](https://img.shields.io/badge/works%20with-Claude%20%7C%20ChatGPT%20%7C%20Gemini%20%7C%20Cursor%20%7C%20Codex%20%7C%20Hermes-8A2BE2)](#-works-with--cross-tool-compatibility)
[![SkillCheck](https://img.shields.io/github/actions/workflow/status/mohitagw15856/pm-claude-skills/skillcheck.yml?branch=main&label=SkillCheck)](.github/workflows/skillcheck.yml)
[![Security Audit](https://img.shields.io/github/actions/workflow/status/mohitagw15856/pm-claude-skills/skill-audit.yml?branch=main&label=security%20audit)](.github/workflows/skill-audit.yml)
[![Version](https://img.shields.io/badge/version-19.0.0-brightgreen)](https://github.com/mohitagw15856/pm-claude-skills/releases)
[![Version](https://img.shields.io/badge/version-20.0.0-brightgreen)](https://github.com/mohitagw15856/pm-claude-skills/releases)
[![Install](https://img.shields.io/badge/Install%20in%20Claude%20Code-2%20minutes-orange)](https://github.com/mohitagw15856/pm-claude-skills#-quick-install-2-minutes)
[![License](https://img.shields.io/badge/license-MIT-lightgrey)](LICENSE)
[![Sponsor](https://img.shields.io/badge/sponsor-❤️-ff69b4)](https://github.com/sponsors/mohitagw15856)
@@ -22,7 +22,7 @@
A community-built library of professional skills for every field — product management, engineering, customer success, marketing, social media, writers, design, legal, finance, HR, sales, operations, research, and more. Each skill is a structured `SKILL.md` file that teaches an AI assistant how to produce professional-grade outputs for your workflows. Skills run natively in **Claude Code** and **Hermes Agent** (same open `SKILL.md` standard), and ship as ready-to-paste exports for **ChatGPT** and **Gemini** — see [Works With](#-works-with--cross-tool-compatibility).
**🆕 Latest release (v19.0.0 — Security Auditor, Personas & Catalog):** a CI **Skill Security Auditor** that flags prompt-injection / unsafe code in any skill, **4 personas** (output-styles), an [orchestration guide](ORCHESTRATION.md), a server-rendered **skill catalog**, and a public [roadmap](ROADMAP.md). See the [changelog](#-changelog).
**🆕 Latest release (v20.0.0 — Agentic Tooling):** run any skill in CI with the new **[GitHub Action](action/)**, turn your docs into a skill with **`npx pm-claude-skills generate`**, and compare skills across models on the **[Skill Leaderboard](https://mohitagw15856.github.io/pm-claude-skills/leaderboard.html)** (LLM-judge evals). See the [changelog](#-changelog).
<!-- DEMO: replace web/docs-assets/playground.png below with web/docs-assets/playground-demo.gif
once recorded (see web/docs-assets/README.md for how). The link goes to the live app. -->
@@ -226,6 +226,30 @@ Then ask: *"search the skills for customer churn, then apply the best one to my
---
## ⚙️ AI-Powered Tooling
Three ways to put the library to work beyond installing files:
**🤖 Run a skill in your CI — [GitHub Action](action/).** Auto-write PR descriptions, changelogs, release notes, or run a code-review checklist on every PR:
```yaml
- uses: mohitagw15856/pm-claude-skills/action@main
with:
skill: pr-description-writer
input: ${{ steps.diff.outputs.text }}
api_key: ${{ secrets.ANTHROPIC_API_KEY }}
```
**🏗️ Turn your docs into a skill — `generate`.** Point it at a URL or file and it writes a `SKILL.md` that follows the authoring standard:
```bash
ANTHROPIC_API_KEY=sk-ant-… npx pm-claude-skills generate --from ./team-process.md
```
**🏆 Skill Leaderboard — [evals](evals/).** An LLM-as-judge harness scores each skill across Claude models on structure, completeness, usefulness, and grounding. **[View the leaderboard →](https://mohitagw15856.github.io/pm-claude-skills/leaderboard.html)**
---
## 🌐 Skill Playground — Try Any Skill in Your Browser
**▶ Live: [mohitagw15856.github.io/pm-claude-skills](https://mohitagw15856.github.io/pm-claude-skills/)** · 📚 [Browse the full skill catalog](https://mohitagw15856.github.io/pm-claude-skills/catalog.html)
@@ -379,15 +403,21 @@ More templates will follow. If you want to contribute one, see the [template con
The highlights are below. For the structured, [Keep a Changelog](https://keepachangelog.com/)-format history, see **[CHANGELOG.md](CHANGELOG.md)**.
### 🆕 What's New in v19.0.0 — Security Auditor, Personas & Catalog
### 🆕 What's New in v20.0.0 — Agentic Tooling
Trust, more content types, and discoverability:
The library starts *doing* the work, not just describing it:
- **Skill Security Auditor** — `scripts/skill-audit.mjs` scans every skill (and its scripts) for prompt injection, data exfiltration, unsafe code, secrets, and hidden text; **HIGH findings fail CI**. New `security audit` badge + a `skill-security-auditor` skill.
- **Personas** — 4 Claude Code output-styles (Startup CTO, Growth Marketer, Solo Founder, Product Leader) in [`output-styles/`](output-styles/).
- **Orchestration guide** ([`ORCHESTRATION.md`](ORCHESTRATION.md)) — Skill Chain, Multi-Agent Handoff, Domain Deep-Dive, Solo Sprint.
- **Static skill catalog** — a server-rendered, SEO-indexable catalog of every skill (linked from the README + Playground).
- **Public roadmap** ([`ROADMAP.md`](ROADMAP.md)) with now/next/later + good first issues.
- **GitHub Action** ([`action/`](action/)) — run any skill in a repo's CI (auto PR descriptions, changelogs, release notes, reviews). `uses: mohitagw15856/pm-claude-skills/action@main`. We dogfood it to write this repo's own PR descriptions.
- **`generate` command** — `npx pm-claude-skills generate --from <url|file>` turns your docs into a standard-compliant `SKILL.md`.
- **Skill evals + Leaderboard** — LLM-as-judge scoring of skills across models, rendered as a public [leaderboard](https://mohitagw15856.github.io/pm-claude-skills/leaderboard.html).
<details>
<summary><strong>v19.0.0 — Security Auditor, Personas & Catalog</strong> (click to expand)</summary>
- **Skill Security Auditor** — scans every skill (and its scripts) for prompt injection, exfiltration, unsafe code, secrets, hidden text; HIGH fails CI. Plus a `skill-security-auditor` skill.
- **4 personas** (output-styles), an [orchestration guide](ORCHESTRATION.md), a server-rendered **skill catalog**, and a public [roadmap](ROADMAP.md).
</details>
<details>
<summary><strong>v18.0.0 — Windsurf, Aider & an MCP Server</strong> (click to expand)</summary>
+3 -3
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@@ -10,9 +10,9 @@ That said, security matters here in two specific ways: **skill file safety** and
| Version | Supported |
|---|---|
| v19.x (latest) | ✅ Active |
| v17.x v18.x | ✅ Security fixes only |
| < v17.0.0 | ❌ No longer supported |
| v20.x (latest) | ✅ Active |
| v18.x v19.x | ✅ Security fixes only |
| < v18.0.0 | ❌ No longer supported |
Because skills are plain markdown, "support" means we review and correct any reported
safety issue (prompt injection, unsafe instructions) in the listed versions.
+65
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@@ -0,0 +1,65 @@
# PM Skills — GitHub Action
Run any skill from this library inside **your** repo's CI. Turn the library's frameworks
into automation: auto-write PR descriptions, generate release notes and changelogs, or run
a code-review checklist — on every push or PR.
```yaml
- uses: mohitagw15856/pm-claude-skills/action@main
with:
skill: pr-description-writer
input: ${{ steps.diff.outputs.text }}
api_key: ${{ secrets.ANTHROPIC_API_KEY }}
```
## Inputs
| Input | Required | Description |
|---|---|---|
| `skill` | ✅ | Skill name, e.g. `pr-description-writer`, `changelog-generator`, `code-review-checklist`. |
| `input` | — | The text/context to run the skill on. |
| `input_file` | — | Read input from a file instead of `input`. |
| `api_key` | ✅ | Anthropic API key (store as a repo secret). |
| `model` | — | Model id (default `claude-sonnet-4-6`). |
| `output_file` | — | Also write the result to this file. |
**Output:** `result` — the skill's output (use `output_file` for long, multi-line results).
## Example — auto-write a PR description
```yaml
name: PR description
on: { pull_request: { types: [opened] } }
permissions: { contents: read, pull-requests: write }
jobs:
describe:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with: { fetch-depth: 0 }
- id: diff
run: |
echo "text<<EOF" >> "$GITHUB_OUTPUT"
git diff origin/${{ github.base_ref }}...HEAD --stat >> "$GITHUB_OUTPUT"
echo "EOF" >> "$GITHUB_OUTPUT"
- id: skill
uses: mohitagw15856/pm-claude-skills/action@main
with:
skill: pr-description-writer
input: ${{ steps.diff.outputs.text }}
api_key: ${{ secrets.ANTHROPIC_API_KEY }}
- uses: actions/github-script@v7
with:
script: |
github.rest.pulls.update({ owner: context.repo.owner, repo: context.repo.repo,
pull_number: context.issue.number, body: process.env.BODY })
env: { BODY: ${{ steps.skill.outputs.result }} }
```
## Other ideas
- `skill: changelog-generator` from `git log` → write `CHANGELOG.md`.
- `skill: release-notes` on tag push → set the GitHub Release body.
- `skill: code-review-checklist` → post a review checklist as a PR comment.
Pin to a release tag (e.g. `@v19`) for stability once you've tried `@main`.
+51
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@@ -0,0 +1,51 @@
name: 'PM Skills — Run a Skill'
description: 'Run any pm-claude-skills SKILL.md in CI — auto PR descriptions, changelogs, release notes, code-review checklists, and more.'
author: 'Mohit Aggarwal'
branding:
icon: 'cpu'
color: 'purple'
inputs:
skill:
description: 'Skill name to run (e.g. pr-description-writer, changelog-generator, code-review-checklist).'
required: true
input:
description: 'The input/context text the skill should work on.'
required: false
input_file:
description: 'Read the input from this file instead of the `input` string.'
required: false
api_key:
description: 'Anthropic API key (store it as a secret).'
required: true
model:
description: 'Claude model id.'
required: false
default: 'claude-sonnet-4-6'
output_file:
description: 'If set, also write the result to this file.'
required: false
max_tokens:
description: 'Max output tokens.'
required: false
default: '4096'
outputs:
result:
description: 'The skill output (also use output_file for multi-line results).'
value: ${{ steps.run.outputs.result }}
runs:
using: composite
steps:
- id: run
shell: bash
run: node "$GITHUB_ACTION_PATH/run.mjs"
env:
INPUT_SKILL: ${{ inputs.skill }}
INPUT_INPUT: ${{ inputs.input }}
INPUT_INPUT_FILE: ${{ inputs.input_file }}
INPUT_API_KEY: ${{ inputs.api_key }}
INPUT_MODEL: ${{ inputs.model }}
INPUT_OUTPUT_FILE: ${{ inputs.output_file }}
INPUT_MAX_TOKENS: ${{ inputs.max_tokens }}
+58
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@@ -0,0 +1,58 @@
#!/usr/bin/env node
// Runner for the pm-skills GitHub Action. Loads a bundled SKILL.md, runs it on
// the provided input via the Anthropic API, and exposes the result as a step
// output (and optionally a file). Inputs arrive as INPUT_* env vars.
import { readFileSync, existsSync, writeFileSync, appendFileSync } from 'node:fs';
import { join, dirname } from 'node:path';
import { fileURLToPath, pathToFileURL } from 'node:url';
import { complete, parseSkill } from '../bin/lib/anthropic.mjs';
const ACTION_DIR = dirname(fileURLToPath(import.meta.url));
const REPO_ROOT = join(ACTION_DIR, '..');
const inp = (name, def = '') => (process.env[`INPUT_${name.toUpperCase()}`] ?? def).trim();
// Pure: assemble the system prompt + user message for a skill run (testable offline).
export function buildRequest(skillBody, userInput) {
const system = skillBody +
'\n\n---\nExecute this skill now on the input below and produce the complete output. ' +
'Do not ask follow-up questions — work with what is given and note any reasonable assumptions. ' +
'Output only the finished artifact (no preamble).';
return { system, messages: [{ role: 'user', content: userInput }] };
}
async function main() {
const skill = inp('skill');
if (!skill) throw new Error('Input `skill` is required.');
const apiKey = inp('api_key') || process.env.ANTHROPIC_API_KEY || '';
const model = inp('model', 'claude-sonnet-4-6');
const maxTokens = parseInt(inp('max_tokens', '4096'), 10) || 4096;
let input = inp('input');
const inputFile = inp('input_file');
if (!input && inputFile && existsSync(inputFile)) input = readFileSync(inputFile, 'utf8');
if (!input) throw new Error('Provide `input` or `input_file`.');
const skillFile = join(REPO_ROOT, 'skills', skill, 'SKILL.md');
if (!existsSync(skillFile)) throw new Error(`Unknown skill "${skill}" (no skills/${skill}/SKILL.md).`);
const { body } = parseSkill(readFileSync(skillFile, 'utf8'));
const { system, messages } = buildRequest(body, input);
console.log(`Running skill "${skill}" with ${model}`);
const result = await complete({ apiKey, model, system, messages, maxTokens });
// Step output (multiline-safe heredoc) + optional file.
if (process.env.GITHUB_OUTPUT) {
const d = `EOF_${Math.random().toString(36).slice(2)}`;
appendFileSync(process.env.GITHUB_OUTPUT, `result<<${d}\n${result}\n${d}\n`);
}
const outFile = inp('output_file');
if (outFile) { writeFileSync(outFile, result + '\n'); console.log(`Wrote ${outFile}`); }
console.log('\n----- skill output -----\n' + result);
}
// Run only when executed directly (so tests can import buildRequest).
if (import.meta.url === pathToFileURL(process.argv[1] || '').href) {
main().catch((e) => { console.error(`Error: ${e.message}`); process.exit(1); });
}
+7
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@@ -153,6 +153,8 @@ Examples:
npx pm-claude-skills add --agent cursor # .mdc rules into ./.cursor/rules
npx pm-claude-skills add --agent windsurf # .md rules into ./.windsurf/rules
npx pm-claude-skills add --agent codex --link
npx pm-claude-skills generate --from <url|file> # turn your docs into a SKILL.md (needs ANTHROPIC_API_KEY)
`;
const opts = parse(process.argv.slice(2));
@@ -161,4 +163,9 @@ if (opts.version) console.log(VERSION);
else if (opts.help || !cmd || cmd === 'help') console.log(HELP);
else if (cmd === 'list') list();
else if (cmd === 'add') add(opts);
else if (cmd === 'generate') {
const { run } = await import('./generate.mjs');
try { process.exit(await run(process.argv.slice(3))); }
catch (e) { console.error(`Error: ${e.message}`); process.exit(1); }
}
else { console.error(`Unknown command: ${cmd}\n`); console.log(HELP); process.exit(2); }
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@@ -0,0 +1,109 @@
// `pm-claude-skills generate` — turn a doc (URL or file) into a SKILL.md that
// follows this library's authoring standard. Uses the Anthropic API.
//
// ANTHROPIC_API_KEY=sk-ant-... npx pm-claude-skills generate --from ./process.md
// ... generate --from https://example.com/runbook --name incident-runbook
// ... generate --from notes.txt --out ./skills --dry-run
import { writeFileSync, mkdirSync, existsSync, readFileSync } from 'node:fs';
import { join } from 'node:path';
import { complete, parseSkill } from './lib/anthropic.mjs';
function getArg(argv, name, def) {
const i = argv.indexOf(`--${name}`);
return i !== -1 ? argv[i + 1] : def;
}
// Strip tags/scripts/styles from HTML to rough text (good enough for an LLM).
function htmlToText(html) {
return html
.replace(/<script[\s\S]*?<\/script>/gi, ' ')
.replace(/<style[\s\S]*?<\/style>/gi, ' ')
.replace(/<[^>]+>/g, ' ')
.replace(/&[a-z]+;/gi, ' ')
.replace(/\s+/g, ' ')
.trim();
}
async function loadSource(from) {
if (/^https?:\/\//i.test(from)) {
const res = await fetch(from);
if (!res.ok) throw new Error(`Could not fetch ${from} (HTTP ${res.status}).`);
const text = await res.text();
return /<html|<body|<div/i.test(text) ? htmlToText(text) : text;
}
if (!existsSync(from)) throw new Error(`No such file: ${from}`);
return readFileSync(from, 'utf8');
}
const META_PROMPT = `You convert a team's documentation into a single Claude/Agent "skill" file (SKILL.md) that follows this exact standard. Output ONLY the file content, starting with the YAML frontmatter — no code fences, no preamble.
Required structure:
---
name: <lowercase-hyphenated, derived from the doc's purpose>
description: "<one sentence on what it does>. Use when <trigger phrases a user would say>. Produces <the concrete artifact>."
---
# <Title> Skill
<one-line value summary>
## What This Skill Produces
- <deliverables>
## Required Inputs
Ask for (if not provided):
- <inputs to gather; never invent them>
## Process
1. <steps>
## Output Format
<a concrete template — headings/tables — of the final artifact>
## Quality Checks
- [ ] <checks the output must pass>
## Anti-Patterns
- [ ] Do not <mistakes this skill prevents>
Rules: be specific to the documentation provided; turn its rules/process into the skill. The description MUST contain "Use when" and "Produces". Do not include any text outside the file.`;
export async function run(argv) {
const from = getArg(argv, 'from');
if (!from || argv.includes('--help')) {
console.log('Usage: pm-claude-skills generate --from <url|file> [--name x] [--out dir] [--model m] [--dry-run]');
return from ? 0 : 1;
}
const apiKey = process.env.ANTHROPIC_API_KEY || '';
if (!apiKey) { console.error('Set ANTHROPIC_API_KEY to generate a skill.'); return 1; }
const model = getArg(argv, 'model', 'claude-sonnet-4-6');
const outDir = getArg(argv, 'out', 'skills');
const dryRun = argv.includes('--dry-run');
console.error(`Reading ${from}`);
const source = (await loadSource(from)).slice(0, 24000); // cap context
console.error(`Generating a SKILL.md with ${model}`);
const out = await complete({
apiKey, model, system: META_PROMPT,
messages: [{ role: 'user', content: `Documentation to convert into a skill:\n\n${source}` }],
maxTokens: 3000,
});
const cleaned = out.replace(/^```[a-z]*\n?/i, '').replace(/\n?```$/i, '').trim();
const { meta } = parseSkill(cleaned);
const name = getArg(argv, 'name', meta.name);
if (!name) { console.error('Could not determine a skill name — pass --name.'); return 1; }
if (dryRun) {
console.log(cleaned);
console.error(`\n[dry-run] Would write ${join(outDir, name, 'SKILL.md')}`);
return 0;
}
const dir = join(outDir, name);
mkdirSync(dir, { recursive: true });
writeFileSync(join(dir, 'SKILL.md'), cleaned + '\n');
console.log(`Created ${join(dir, 'SKILL.md')}`);
console.log('Next: review it, then validate — node scripts/skillcheck.mjs && node scripts/skill-audit.mjs');
return 0;
}
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@@ -0,0 +1,51 @@
// Minimal, dependency-free Anthropic Messages API client (Node 18+ global fetch).
// Shared by the GitHub Action runner, the eval harness, and skill generation.
// No SDK, no install — just a thin POST wrapper.
const API_URL = 'https://api.anthropic.com/v1/messages';
/**
* Call the Anthropic Messages API and return the concatenated text output.
* @param {object} o
* @param {string} o.apiKey - Anthropic API key.
* @param {string} [o.model] - Model id (default claude-sonnet-4-6).
* @param {string} [o.system]- System prompt.
* @param {Array} o.messages- [{role, content}] messages.
* @param {number} [o.maxTokens]
* @returns {Promise<string>}
*/
export async function complete({ apiKey, model = 'claude-sonnet-4-6', system, messages, maxTokens = 4096 }) {
if (!apiKey) throw new Error('Missing Anthropic API key (set ANTHROPIC_API_KEY).');
const res = await fetch(API_URL, {
method: 'POST',
headers: {
'content-type': 'application/json',
'x-api-key': apiKey,
'anthropic-version': '2023-06-01',
},
body: JSON.stringify({ model, max_tokens: maxTokens, ...(system ? { system } : {}), messages }),
});
if (!res.ok) {
const body = await res.text().catch(() => '');
throw new Error(`Anthropic API ${res.status}: ${body.slice(0, 500)}`);
}
const data = await res.json();
return (data.content || []).map((c) => c.text || '').join('').trim();
}
/** Parse "name: value" YAML-ish frontmatter + body from a SKILL.md string. */
export function parseSkill(text) {
const m = text.match(/^---\n([\s\S]*?)\n---\n?([\s\S]*)$/);
const meta = {};
if (m) {
for (const line of m[1].split('\n')) {
const kv = line.match(/^(\w[\w-]*):\s*(.*)$/);
if (kv) {
let v = kv[2].trim();
if ((v.startsWith('"') && v.endsWith('"')) || (v.startsWith("'") && v.endsWith("'"))) v = v.slice(1, -1);
meta[kv[1]] = v;
}
}
}
return { meta, body: m ? m[2].trim() : text.trim() };
}
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@@ -0,0 +1,46 @@
# Skill Evals
An LLM-as-judge harness that scores skill output quality across models — so claims like
"production-ready" are backed by numbers, not vibes. Results render as a public
[Skill Leaderboard](https://mohitagw15856.github.io/pm-claude-skills/leaderboard.html).
## What it measures
For each [case](cases.json), a model runs the skill, then a **judge model** scores the
output 15 on four dimensions:
- **structure** — follows a clear, expected structure
- **completeness** — covers what the task needs
- **usefulness** — specific and actually useful, not generic
- **grounding** — stays grounded in the input, no invented facts
## Run it
Needs an Anthropic API key (this calls the API and costs tokens):
```bash
ANTHROPIC_API_KEY=sk-ant-... node evals/run-evals.mjs
# --models claude-opus-4-8,claude-sonnet-4-6,claude-haiku-4-5-20251001
# --judge claude-opus-4-8
node scripts/build-leaderboard.mjs # render web/leaderboard.html
```
`run-evals.mjs` writes `evals/results.json`; the leaderboard builder prefers it and falls
back to `results.example.json` (clearly labelled) so the page renders before you run real evals.
### No local key? Run it in CI
Add an `ANTHROPIC_API_KEY` repo secret, then go to **Actions → "Update Skill Leaderboard"
→ Run workflow**. It runs the evals, commits `evals/results.json`, and the Pages deploy
re-renders the public leaderboard with real numbers — no laptop required.
## Add a case
Append to [`cases.json`](cases.json): `{ "skill": "<name>", "input": "<a realistic prompt>" }`.
Keep inputs short but representative of how the skill is actually used.
## Honesty notes
- Scores are an LLM judge's opinion, not ground truth — treat them as a comparative signal.
- The judge sees the skill's stated purpose and the output, not the model name (reduces bias).
- Re-run after model upgrades; numbers drift.
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@@ -0,0 +1,29 @@
{
"_comment": "Eval cases: a representative input per skill. Run with: node evals/run-evals.mjs",
"cases": [
{
"skill": "rice-prioritisation",
"input": "Rank these for next quarter:\n1. Onboarding redesign — reach ~5000 users/qtr, big activation impact, ~3 person-months.\n2. Dark mode — ~8000 users want it, low impact, ~1 person-month.\n3. SSO for enterprise — ~400 accounts, high deal impact, ~4 person-months, low confidence."
},
{
"skill": "prd-template",
"input": "Feature: in-app referral program so existing users invite colleagues and both get a credit. Target: activated B2B users. Goal: grow signups 15% in Q3."
},
{
"skill": "cs-health-scorecard",
"input": "Account: Acme Corp, enterprise, ARR $120k, renewal in 90 days. DAU/MAU 18%, 2 open P2 tickets, CSAT 7, exec sponsor left last month, seats 80/100 used, payments on time."
},
{
"skill": "executive-summary",
"input": "Summarise: our Q2 retention dropped from 82% to 76% driven by a new onboarding flow that confused mobile users; we shipped a fix in week 10 and retention recovered to 80%; we recommend a full mobile onboarding rework next quarter."
},
{
"skill": "competitive-analysis",
"input": "Analyse our position vs Notion and Coda for a lightweight team wiki aimed at small startups. We're cheaper and faster to set up but have fewer integrations."
},
{
"skill": "sprint-planning",
"input": "Team of 5, 2-week sprint, average velocity 30 points, one engineer out 3 days. Backlog: checkout redesign (8), payment retries (5), analytics events (3), bug bash (3), API rate limiting (5)."
}
]
}
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@@ -0,0 +1,22 @@
{
"_comment": "EXAMPLE data so the leaderboard renders before you run real evals. Replace by running: ANTHROPIC_API_KEY=... node evals/run-evals.mjs",
"example": true,
"generatedAt": "2026-06-18T00:00:00.000Z",
"judge": "claude-opus-4-8",
"models": ["claude-sonnet-4-6", "claude-haiku-4-5-20251001"],
"dimensions": ["structure", "completeness", "usefulness", "grounding"],
"results": [
{ "skill": "rice-prioritisation", "model": "claude-sonnet-4-6", "scores": {"structure":5,"completeness":5,"usefulness":5,"grounding":4}, "overall": 4.75 },
{ "skill": "rice-prioritisation", "model": "claude-haiku-4-5-20251001", "scores": {"structure":5,"completeness":4,"usefulness":4,"grounding":4}, "overall": 4.25 },
{ "skill": "prd-template", "model": "claude-sonnet-4-6", "scores": {"structure":5,"completeness":4,"usefulness":5,"grounding":4}, "overall": 4.5 },
{ "skill": "prd-template", "model": "claude-haiku-4-5-20251001", "scores": {"structure":4,"completeness":4,"usefulness":4,"grounding":4}, "overall": 4.0 },
{ "skill": "cs-health-scorecard", "model": "claude-sonnet-4-6", "scores": {"structure":5,"completeness":5,"usefulness":5,"grounding":5}, "overall": 5.0 },
{ "skill": "cs-health-scorecard", "model": "claude-haiku-4-5-20251001", "scores": {"structure":5,"completeness":4,"usefulness":4,"grounding":4}, "overall": 4.25 },
{ "skill": "executive-summary", "model": "claude-sonnet-4-6", "scores": {"structure":5,"completeness":5,"usefulness":4,"grounding":5}, "overall": 4.75 },
{ "skill": "executive-summary", "model": "claude-haiku-4-5-20251001", "scores": {"structure":5,"completeness":4,"usefulness":4,"grounding":5}, "overall": 4.5 },
{ "skill": "competitive-analysis", "model": "claude-sonnet-4-6", "scores": {"structure":4,"completeness":4,"usefulness":5,"grounding":4}, "overall": 4.25 },
{ "skill": "competitive-analysis", "model": "claude-haiku-4-5-20251001", "scores": {"structure":4,"completeness":4,"usefulness":4,"grounding":4}, "overall": 4.0 },
{ "skill": "sprint-planning", "model": "claude-sonnet-4-6", "scores": {"structure":5,"completeness":5,"usefulness":5,"grounding":5}, "overall": 5.0 },
{ "skill": "sprint-planning", "model": "claude-haiku-4-5-20251001", "scores": {"structure":5,"completeness":4,"usefulness":4,"grounding":5}, "overall": 4.5 }
]
}
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#!/usr/bin/env node
// Skill eval harness. For each case × model: run the skill, then score the output
// with an LLM judge on a fixed rubric. Writes evals/results.json — feed it to
// scripts/build-leaderboard.mjs to render web/leaderboard.html.
//
// Requires an Anthropic API key (this calls the API and costs tokens).
//
// Usage:
// ANTHROPIC_API_KEY=sk-ant-... node evals/run-evals.mjs
// ... node evals/run-evals.mjs --models claude-opus-4-8,claude-sonnet-4-6,claude-haiku-4-5-20251001
// ... node evals/run-evals.mjs --judge claude-opus-4-8 --cases evals/cases.json
import { readFileSync, writeFileSync, existsSync } from 'node:fs';
import { join, dirname } from 'node:path';
import { fileURLToPath } from 'node:url';
import { complete, parseSkill } from '../bin/lib/anthropic.mjs';
const __dirname = dirname(fileURLToPath(import.meta.url));
const root = join(__dirname, '..');
function arg(name, def) {
const i = process.argv.indexOf(`--${name}`);
return i !== -1 ? process.argv[i + 1] : def;
}
const apiKey = process.env.ANTHROPIC_API_KEY || '';
const models = arg('models', 'claude-sonnet-4-6,claude-haiku-4-5-20251001').split(',').map((s) => s.trim());
const judge = arg('judge', 'claude-opus-4-8');
const casesPath = arg('cases', join(__dirname, 'cases.json'));
const outPath = arg('out', join(__dirname, 'results.json'));
const DIMENSIONS = ['structure', 'completeness', 'usefulness', 'grounding'];
function runPrompt(skillBody) {
return skillBody + '\n\n---\nExecute this skill now on the input. Output only the finished artifact.';
}
function judgePrompt(description, output) {
return `You are a strict evaluator of a professional work artifact.
The artifact was produced by a skill whose job is:
"${description}"
Score the artifact below from 1 (poor) to 5 (excellent) on each dimension:
- structure: follows a clear, expected structure for this kind of output
- completeness: covers what the task needs, nothing important missing
- usefulness: actually useful to a professional, specific not generic
- grounding: stays grounded in the given input, no invented facts/metrics
Return ONLY a JSON object, no prose: {"structure":N,"completeness":N,"usefulness":N,"grounding":N}
--- ARTIFACT ---
${output}`;
}
function parseScores(text) {
const m = text.match(/\{[\s\S]*\}/);
if (!m) throw new Error('judge did not return JSON');
const j = JSON.parse(m[0]);
const s = {};
for (const d of DIMENSIONS) s[d] = Math.max(1, Math.min(5, Number(j[d]) || 0));
return s;
}
async function main() {
if (!apiKey) { console.error('Set ANTHROPIC_API_KEY to run evals.'); process.exit(1); }
const { cases } = JSON.parse(readFileSync(casesPath, 'utf8'));
const results = [];
for (const c of cases) {
const skillFile = join(root, 'skills', c.skill, 'SKILL.md');
if (!existsSync(skillFile)) { console.error(`skip ${c.skill}: no SKILL.md`); continue; }
const { meta, body } = parseSkill(readFileSync(skillFile, 'utf8'));
for (const model of models) {
process.stderr.write(`Running ${c.skill} on ${model}`);
try {
const output = await complete({ apiKey, model, system: runPrompt(body), messages: [{ role: 'user', content: c.input }], maxTokens: 3000 });
const judged = await complete({ apiKey, model: judge, messages: [{ role: 'user', content: judgePrompt(meta.description || c.skill, output) }], maxTokens: 200 });
const scores = parseScores(judged);
const overall = DIMENSIONS.reduce((a, d) => a + scores[d], 0) / DIMENSIONS.length;
results.push({ skill: c.skill, model, scores, overall: Math.round(overall * 100) / 100 });
process.stderr.write(`${overall.toFixed(2)}/5\n`);
} catch (e) {
process.stderr.write(`FAILED (${e.message})\n`);
}
}
}
const out = { generatedAt: new Date().toISOString(), judge, models, dimensions: DIMENSIONS, results };
writeFileSync(outPath, JSON.stringify(out, null, 2));
console.log(`\nWrote ${outPath}${results.length} scored runs. Build the page: node scripts/build-leaderboard.mjs`);
}
main();
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "pm-claude-skills",
"version": "19.0.0",
"version": "20.0.0",
"type": "module",
"description": "167 professional Agent Skills (SKILL.md) + subagents + slash commands for Claude, ChatGPT, Gemini, Cursor, Codex & Hermes. Install into any AI coding tool with: npx pm-claude-skills add --agent <tool>.",
"keywords": [
+1
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@@ -89,6 +89,7 @@ const html = `<!DOCTYPE html>
<a href="https://mohitagw15856.github.io/pm-claude-skills/">▶ Live Playground</a>
<a href="${REPO}">GitHub</a>
<a href="${REPO}#-quick-install-2-minutes">Install</a>
<a href="leaderboard.html">Leaderboard</a>
<a href="${REPO}/blob/main/TIERS.md">Tiers</a>
</div>
</header>
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@@ -0,0 +1,76 @@
#!/usr/bin/env node
// Renders web/leaderboard.html from evals/results.json (or evals/results.example.json
// as a clearly-labelled placeholder). Run after evals/run-evals.mjs. No dependencies.
import { readFileSync, writeFileSync, existsSync } from 'node:fs';
import { join, dirname } from 'node:path';
import { fileURLToPath } from 'node:url';
const __dirname = dirname(fileURLToPath(import.meta.url));
const root = join(__dirname, '..');
const REPO = 'https://github.com/mohitagw15856/pm-claude-skills';
const real = join(root, 'evals', 'results.json');
const example = join(root, 'evals', 'results.example.json');
const src = existsSync(real) ? real : example;
const data = JSON.parse(readFileSync(src, 'utf8'));
const isExample = !!data.example || src === example;
const esc = (s) => String(s).replace(/[&<>"]/g, (c) => ({ '&': '&amp;', '<': '&lt;', '>': '&gt;', '"': '&quot;' }[c]));
const skills = [...new Set(data.results.map((r) => r.skill))].sort();
const models = data.models || [...new Set(data.results.map((r) => r.model))];
const cell = (skill, model) => data.results.find((r) => r.skill === skill && r.model === model);
const colour = (v) => v >= 4.5 ? '#6ee7b7' : v >= 4 ? '#93c5fd' : v >= 3 ? '#fcd34d' : '#fca5a5';
const modelAvg = (m) => {
const xs = data.results.filter((r) => r.model === m).map((r) => r.overall);
return xs.length ? (xs.reduce((a, b) => a + b, 0) / xs.length) : 0;
};
const headRow = `<tr><th>Skill</th>${models.map((m) => `<th>${esc(m)}</th>`).join('')}</tr>`;
const rows = skills.map((s) => `<tr><td class="skill">${esc(s)}</td>${models.map((m) => {
const c = cell(s, m);
return c ? `<td><span class="score" style="color:${colour(c.overall)}">${c.overall.toFixed(2)}</span></td>` : '<td class="na">—</td>';
}).join('')}</tr>`).join('\n');
const avgRow = `<tr class="avg"><td>Average</td>${models.map((m) => `<td><strong>${modelAvg(m).toFixed(2)}</strong></td>`).join('')}</tr>`;
const html = `<!DOCTYPE html>
<html lang="en"><head>
<meta charset="UTF-8" /><meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Skill Leaderboard — how pm-claude-skills score across Claude models</title>
<meta name="description" content="LLM-judged quality scores for professional Agent Skills across Claude models, on structure, completeness, usefulness, and grounding." />
<style>
:root{--bg:#0f1115;--panel:#161a21;--border:#2a313c;--text:#e7ebf0;--muted:#95a0b0;--accent2:#e89b82}
body{margin:0;background:var(--bg);color:var(--text);font:15px/1.5 -apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,sans-serif}
a{color:var(--accent2)} header{padding:28px 22px;border-bottom:1px solid var(--border);background:var(--panel)}
header h1{margin:0 0 6px;font-size:23px} header p{margin:0;color:var(--muted);font-size:14px}
.nav{margin-top:12px;display:flex;gap:14px;font-size:13px;flex-wrap:wrap}
main{max-width:900px;margin:0 auto;padding:22px}
.banner{background:rgba(245,158,11,.12);border:1px solid rgba(245,158,11,.4);color:#fcd34d;padding:12px 14px;border-radius:10px;margin-bottom:18px;font-size:13.5px}
table{width:100%;border-collapse:collapse;font-size:14px}
th,td{padding:10px 12px;text-align:center;border-bottom:1px solid var(--border)}
th:first-child,td:first-child{text-align:left}
th{color:var(--accent2);font-size:12px;text-transform:uppercase;letter-spacing:.04em}
td.skill{font-weight:600} .score{font-weight:700} .na{color:var(--muted)}
tr.avg td{border-top:2px solid var(--border);color:var(--muted)}
.meta{color:var(--muted);font-size:12.5px;margin-top:16px}
</style></head><body>
<header>
<h1>🏆 Skill Leaderboard</h1>
<p>LLM-judged quality (15) for each skill across Claude models — scored on structure, completeness, usefulness &amp; grounding by <code>${esc(data.judge || 'an LLM judge')}</code>.</p>
<div class="nav"><a href="https://mohitagw15856.github.io/pm-claude-skills/">Playground</a><a href="catalog.html">Catalog</a><a href="${REPO}/tree/main/evals">How it works</a></div>
</header>
<main>
${isExample ? '<div class="banner">⚠️ <strong>Example data</strong> — illustrative scores so this page renders. Run <code>ANTHROPIC_API_KEY=… node evals/run-evals.mjs</code> then <code>node scripts/build-leaderboard.mjs</code> for real numbers.</div>' : ''}
<table>
<thead>${headRow}</thead>
<tbody>
${rows}
${avgRow}
</tbody>
</table>
<p class="meta">Higher is better (max 5). ${esc(skills.length)} skills × ${esc(models.length)} models${data.generatedAt ? ` · generated ${esc(String(data.generatedAt).slice(0, 10))}` : ''}. Methodology and cases in <a href="${REPO}/tree/main/evals">evals/</a>.</p>
</main></body></html>
`;
writeFileSync(join(root, 'web', 'leaderboard.html'), html);
console.log(`Wrote web/leaderboard.html — ${skills.length} skills × ${models.length} models${isExample ? ' (EXAMPLE data)' : ''}.`);
+1 -1
View File
@@ -34,7 +34,7 @@
<div class="key-note">
🔒 Your key is stored only in this browser and sent directly to api.anthropic.com — never to us.
Get one at <a href="https://console.anthropic.com/settings/keys" target="_blank" rel="noopener">console.anthropic.com</a>.
· 📚 <a href="catalog.html">Browse the full skill catalog</a>
· 📚 <a href="catalog.html">Catalog</a> · 🏆 <a href="leaderboard.html">Leaderboard</a>
</div>
<div class="controls" id="controls">