Skill Builder

Reads your shell history, git commits, browser history, and Claude Code conversation logs. Finds patterns you repeat. Generates working skills (slash commands) you can install in Claude Code, Codex, Cursor, or any agent that reads markdown.

Has 15 built-in skills. If you add an API key, it uses an LLM to generate skills for any pattern it finds — not just the built-in ones.

Built this in a day for our own use. If you find it useful, make it better.

Screenshots

Discovery — patterns found across your data sources, ranked by confidence:

Skill Builder — preview and install skills with one click:

MCP Builder — generate complete MCP server projects from a form:

Connections — plug in API keys and data sources:

Quick Start

git clone https://github.com/Scottpedia0/skill-builder.git
cd skill-builder
npm install

# See what it finds on your machine (reads shell history + git automatically)
node bin/cli.mjs suggest

# Preview a skill before installing
node bin/cli.mjs implement pr-dashboard --dry-run

# Install it
node bin/cli.mjs implement pr-dashboard
# → writes to ~/.claude/commands/pr-dashboard.md

If you don't have shell history or want to test with sample data:

node scripts/generate-demo-db.mjs
node bin/cli.mjs suggest --days 7

What It Does

Reads data from your machine → finds things you do repeatedly → suggests skills to automate them.

  Shell history ──┐
  Git commits ────┤
  Browser URLs ───┤──→ Analyzer ──→ Suggester ──→ Generator ──→ skill.md
  Claude threads ─┤
  Telemetry ──────┘

Without an API key: 15 built-in skills install instantly (marked ✅).

With an API key: The LLM generates a custom skill for any pattern (marked 🤖). Tested with OpenRouter, Anthropic, Google, OpenAI.

Commands

skill-builder suggest           # see all suggestions
skill-builder daily             # one per day, no repeats
skill-builder implement <id>    # build and install a skill
skill-builder list              # show built-in skills
skill-builder --help            # all options

--dry-run previews without installing. --days N controls the analysis window.

Built-in Skills

Skill	What it does
pr-dashboard	PR/CI summary across your GitHub repos
meeting-auto-brief	Pre-meeting context from calendar + git + GitHub
model-cost-monitor	API spend check (OpenRouter, Anthropic)
credential-audit	Test your API keys, flag broken ones
slack-integration-health	Check Slack bot auth and rate limits
tab-audit	Find stale browser tabs from Chrome/Arc history
video-cataloger	Index local recordings by date and size
gmail-templates	Email templates for follow-ups, intros, updates
git-cleanup	Delete merged branches, prune remote refs
dep-update	Check outdated packages, security audit
port-killer	Kill processes on dev ports (EADDRINUSE fix)
docker-reset	Stop all containers, prune, reclaim disk
env-check	Compare .env.example vs .env, find missing vars
log-search	Search log files for recent errors
db-snapshot	Backup SQLite/PostgreSQL before migrations

Data Sources

These work automatically — no setup:

• Shell history — zsh, bash, fish. Finds repeated commands and sequences.
• Git history — commit patterns, files that change together.
• Browser history — Chrome, Arc, Brave, Edge. Frequent URLs and repeated searches.
• Claude Code threads — reads ~/.claude/ conversation logs. Finds prompts you repeat.

Optional:

• Cowork.ai telemetry — app usage, context switches, keystrokes. Set telemetryDb in config.

LLM Generation

Add an API key to ~/.skill-builder/config.json and the tool generates skills for any pattern, not just the 15 built-in ones:

{
  "keys": { "openrouter": "sk-or-..." },
  "analysisModel": "openrouter-auto"
}

Supports: OpenRouter, Anthropic, Google (Gemini), OpenAI. The generated skills have real error handling, not templates.

Web UI

node ui/server.mjs    # start API on :3456
cd ui && npm install && npm run dev  # start React UI on :3000

Four views: Discovery (suggestions), Skill Builder (install/manage), MCP Builder (generate MCP servers), Connections (API keys + data sources).

Adding Skills

Add a function to lib/generator.mjs:

const IMPLEMENTATIONS = {
  "your-skill": (s, config) => `---
name: your-skill
description: "When to use this"
---

# Your Skill

\`\`\`bash
echo "real commands here"
\`\`\`
`,
};

Or just add an API key and the LLM handles it.

Contributing

PRs welcome. Add a data source analyzer, add a built-in skill, fix a bug, improve a prompt. The code is straightforward — each analyzer is a standalone file in lib/, each skill is a function in lib/generator.mjs.

License

MIT