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/GeoloeG-IsT/agents-reverse-engineer --skill are-generate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。
正在显示 SKILL.md
基于 SOC 职业分类
| name | are-generate |
| description | Generate AI-friendly documentation for the entire codebase |
| disable-model-invocation | true |
Generate comprehensive documentation for this codebase using agents-reverse-engineer.
Run the generate command in the background and monitor progress in real time.Read version: Read .claude/ARE-VERSION → store as $VERSION. Show the user: agents-reverse-engineer v$VERSION
Run the generate command in the background using run_in_background: true:
npx agents-reverse-engineer@$VERSION generate --backend claude $ARGUMENTS
Monitor progress by polling the latest progress log:
sleep 15 in Bash), then use Glob to find the latest .agents-reverse-engineer/progress-*.log file, and Read it (use the offset parameter to read only the last ~20 lines for long files)TaskOutput with block: falseOn completion, read the full background task output and summarize:
This executes a two-phase pipeline:
File Analysis (concurrent): Discovers files, applies filters, then analyzes each source file via AI and writes .sum summary files with YAML frontmatter (content_hash, file_type, purpose, public_interface, dependencies, patterns).
Directory Aggregation (sequential): Generates AGENTS.md per directory in post-order traversal (deepest first, so child summaries feed into parents), and writes CLAUDE.md pointers.
Options:
--dry-run: Preview the plan without making AI calls--eval: Namespace output by backend.model for side-by-side comparison (e.g., file.ts.claude.haiku.sum, AGENTS.claude.haiku.md)--concurrency N: Control number of parallel AI calls (default: auto)--fail-fast: Stop on first file analysis failure--debug: Show AI prompts and backend details--trace: Enable concurrency tracing to .agents-reverse-engineer/traces/