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jrittelmeyer/ai-dev-kit

Portable, versioned agentic-development skill library: lifecycle skills, a per-project adapter contract, and a cross-platform installer. Distilled from next-web-boilerplate.

¿Qué es ai-dev-kit?

ai-dev-kit is a Claude Code agent skill that portable, versioned agentic-development skill library: lifecycle skills, a per-project adapter contract, and a cross-platform installer. Distilled from next-web-boilerplate.

Compatible conClaude Code~Codex CLI~CursorAntigravity
npx skills add jrittelmeyer/ai-dev-kit

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Documentación

tidy

Reclaim local disk and keep the working machine healthy. Most stacks have at least one unbounded grower — a build or engine cache with no native TTL or size cap that quietly accumulates gigabytes. This skill's core job is pruning that cache; the rest it surfaces rather than runs, because those need judgment.

Adapter: .claude/ai-dev-kit.config.json (cache, hygiene); a missing field → ask or skip that section. Per-stack cache locations, growth patterns, and platform commands: references/hygiene-recipes.md.

1. Prune the build cache (safe, automatic)

  • Report first: run the adapter's cache.size command.
  • Prune to the cap: run cache.prune (typically deletes oldest entries until under a ceiling while keeping recent builds for cache hits; prefer a --dry-run preview when the command offers one).
  • Report reclaimed space and current disk free (platform commands in the recipes file).

This same prune often runs automatically at two points (so it rarely has much to do here): the checkpoint cadence during active build sessions, and any pre-push backstop the repo wires. This skill is the on-demand / deeper pass.

2. Surface the judgment-required cleanups (do NOT auto-run)

Report each with its reclaim potential and the exact command, then let the user pick:

  • Orphaned dev processes on the adapter's hygiene.devPorts (or the stack's equivalent: dev servers, watchers, emulators, editor daemons) — a stopped background task can leave a process holding a port or lock. Tree-kill by PID; keep containers and the browser.
  • Stale test data matching the adapter's hygiene.e2eUserPattern (or the project's seeded-data convention) — accumulated throwaway rows eventually break pagination- and count-dependent tests. A mass DELETE always needs explicit user OK; keep everything that doesn't match the pattern.
  • Dangling container images / build layers — CI image work leaves large layers; prune commands are in the recipes file. Keep the running containers named in hygiene.keepContainers.
  • Stack-specific growers the recipes file lists for this project type (engine import caches, dependency caches, old toolchain versions) — surface only what the repo actually uses.

3. Report

One short summary: disk free before → after, cache size before → after, and which surfaced items (if any) the user chose to run. Don't silently perform step-2 actions.

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