About this project

Awesome AI Cheatsheets is a curated collection of standardized references for terminal-native AI coding agents and the concepts behind them. Our wedge: format + freshness + comparability — every cheatsheet ships with a last-updated date, is flagged when it goes stale, and follows the same 7-section structure so you can compare tools head-to-head.

The wedge

We sit between shallow READMEs that skip the nuance and exhaustive reference docs that bury the lede. Three properties make a cheatsheet worth landing on:

  • Format. Every entry follows the same locked 7-section template — one-liner, mental model, quickstart, recipes, gotchas, reference, links — so you can skim it the same way every time.
  • Freshness. Each cheatsheet carries a last_updated date and a stale_after_days budget. When a cheatsheet drifts past its budget, the catalog and detail pages flag it as may be stale in plain sight.
  • Comparability. Because the structure is fixed, mutually-relevant entries (e.g. two CLI agents) can be diffed section-by-section without re-learning each one's layout.

How it works

  • The catalog lists every published cheatsheet with its category, tags, and last-updated date.
  • A built-in search (Pagefind) indexes every entry at build time — no third-party JavaScript, no runtime API.
  • Filter pills let you narrow by category (tool, mcp, concept, comparison) or by tag.
  • A freshness chip on each detail page surfaces the last-updated date and a stale banner when the entry is past its budget.

Contribute

Cheatsheets are authored with Claude Code and the /cheatsheet-scribe skill. The 30-minute contributor tutorial walks through the full flow — from raw notes to a merged PR.