drewid74/ai_skills
AI skills and workflow templates for Claude Code, Copilot, Gemini, any AI tool that will ingest skills files.
Platform-specific configuration:
{
"mcpServers": {
"ai_skills": {
"command": "npx",
"args": [
"-y",
"ai_skills"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
> 35 focused skills, each ~75 lines. Every skill follows the same template: Identity → Stack Defaults → Decision Framework → Anti-Patterns → Quality Gates. Dense enough to be useful, lean enough not to bloat your context window.
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Skills load into your AI's context window on every invocation. Bloated skills waste tokens and dilute focus. This library is optimized for signal density:
| | Before (v1) | After (v2) | |--|-------------|------------| | Files | 47 (35 skills + 12 "super agents") | 35 skills | | Total lines | 19,207 | 2,531 | | Est. tokens (full load) | ~240,000 | ~37,000 | | Avg lines/skill | ~400 | 72 | | Tokens per invocation | ~3,700 | ~1,050 |
−87% lines. −84% tokens per invocation. Same decision quality — the template forces every skill to include if/then decision rules, anti-patterns, and quality gates rather than prose explanations.
Every skill answers three questions: *What tool/approach?* (Stack Defaults), *When and why?* (Decision Framework), *What to avoid?* (Anti-Patterns).
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# Full collection
git clone https://github.com/drewid74/ai_skills.git ~/.claude/skills/ai_skills
# Or cherry-pick individual skills
cp -r ai_skills/docker-selfhost ~/.claude/skills/Works with Claude Code, Cursor, Codex CLI, Windsurf, and any tool that reads SKILL.md files.
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| Skill | Lines | What It Does | |-------|-------|-------------| | docker-selfhost | 68 | Docker Compose stacks, self-hosted services, volumes, reverse proxy, TrueNAS SCALE | | truenas-ops
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