agent-skills

A collection of AI agent skills — reusable workflows, protocols, and knowledge packs for agentic systems.

This repo is being built incrementally. Skills will be added over time as they're curated, refined, and tested.

What is a skill?

Each skill lives in its own directory with a SKILL.md as the entry point, optionally backed by references/, templates/, and scripts/ for supporting material. Skills are designed to be loaded by AI agents (Hermes Agent, Claude Code, OpenCode, etc.) as procedural memory — giving them structured domain knowledge and proven approaches for specific tasks.

Skills

cli-builder

Design and build CLI tools for AI agent consumption. 10 universal patterns (non-interactive, --json, --dry-run, idempotent, lazy auth, progressive help), an agent-compatibility test suite, and a bash scaffold template. Principles grounded in real failures from building 15+ agent-facing CLIs.

data-architect

A virtual data architect for teams who don't have one. Consult on architecture decisions, review data models and pipelines, evaluate tradeoffs (warehouse vs lakehouse, Kimball vs Inmon, batch vs streaming), assess governance maturity, and plan data strategy. Includes 8 reference files, a governance maturity assessment script, and an ADR template. Designed for data engineers working without a human architect — includes a QuickScan and proactive discovery flow for when you don't know where to start.

agent-skills

Reference for the Agent Skills open format itself — directory structure, frontmatter schema, naming conventions, and progressive disclosure model. Use this meta-skill when creating or reviewing any other skill in this repository.

License

MIT

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Description
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Readme
25 MiB
Languages
Python 91.2%
Shell 4.9%
Ruby 2.1%
Go Template 0.5%
Rich Text Format 0.4%
Other 0.6%