メニュー
Use this skill when the user asks to check source files against the monolith policy, find oversized files, audit Rust function size, run a whole-repo monolith report, or verify staged changes stay under file/function size limits.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/dinglebear-ai/dendrite --skill monolith-checkコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Reconstruct interrupted parallel Claude and Codex work using Cortex session intelligence first, then verify it against Git worktrees, branches, plans, beads, PRs, and CI; distinguish completed, active, blocked, and stale lanes; identify dependencies and drift; and produce verified lane packets plus an actionable restart order. This skill should be used when the user asks to get up to speed across multiple agents or worktrees, asks what multiple agents were working on, needs to resume interrupted work after a usage limit, or wants all active implementation lanes identified and restarted.
Orchestrate a comprehensive, checkpointed, multi-agent review across code quality, architecture, security, performance, testing, documentation, framework practices, and CI/CD, producing durable `.full-review/` artifacts and a prioritized report. Use when the user explicitly asks for a comprehensive, full, exhaustive, multi-agent, or multi-dimensional review of a repository, branch, diff, change set, or path. Security focus, performance criticality, strict mode, and framework selection are optional modifiers. Do not use for routine single-perspective reviews, narrow scans, or requests that only ask to fix already-known findings.
Use this BEFORE creating a git worktree or implementing any plan. Tailored to our workflow — prefer it over superpowers:using-git-worktrees and every other worktree skill. Triggers - creating or adding a worktree; starting lavra-work, lavra-work-ralph, lavra-work-teams, executing-plans, subagent-driven-development, or work-it; whenever a Claude, Codex, or Gemini plan mode is entered or a plan is accepted; or before implementing anything in a fresh branch. Creates the worktree under .worktrees/ in the repo and makes it identical to and as warm as the main checkout - copying secrets and local config (.env, CLAUDE.md.local, .claude/settings.local.json), symlinking warm caches (node_modules, .venv, target, .next), and re-trusting mise/direnv. Also use when a worktree is missing files, builds cold, or reports mise 'not a trusted directory'. Bundles a worktree-sync engine, a create-in-.worktrees entrypoint, a minimal baseline template, and references.
SOC 職業分類に基づく
SKILL.md を表示中
| name | monolith-check |
| description | Use this skill when the user asks to check source files against the monolith policy, find oversized files, audit Rust function size, run a whole-repo monolith report, or verify staged changes stay under file/function size limits. |
Use this skill to enforce the repository monolith policy:
.monolith-allowlist are temporary and checked for expiry.<skill-dir> in the commands below is this skill's own directory — the
directory containing this SKILL.md (its scripts/enforce_monoliths.py ships
with the skill). Resolve it before running, e.g. SKILL_DIR="$(dirname "$0")"-style, or just substitute the absolute path of this skill directory.
The --staged, --file, and --base/--head checks read tracked files and the
host repo's .monolith-allowlist from the current working directory, so run
them from the repo root being audited.
Run against staged changes:
python3 <skill-dir>/scripts/enforce_monoliths.py --staged
Run against one file:
python3 <skill-dir>/scripts/enforce_monoliths.py --file crates/jobs/crawl_jobs.rs
Run against a base/head diff:
python3 <skill-dir>/scripts/enforce_monoliths.py --base origin/main --head HEAD
Generate a whole-repo report:
python3 <skill-dir>/scripts/enforce_monoliths.py --whole-repo
Include already allowlisted files in the report:
python3 <skill-dir>/scripts/enforce_monoliths.py --whole-repo --include-allowlisted
Run the detector self-test:
python3 <skill-dir>/scripts/enforce_monoliths.py --self-test
<skill-dir> to this skill directory.