菜单
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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/dinglebear-ai/dendrite --skill monolith-check命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
基于 SOC 职业分类
正在显示 SKILL.md
| 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.