菜单
Orchestrates large-scale code changes in parallel. Decomposes work into 5-30 independent units, each agent in isolated git worktree with tests and PR. Use for migrations, refactoring across many files. Don't use for single-file changes.
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。
基于 SOC 职业分类
Machine learning model training with HuggingFace. Fine-tuning LLMs, dataset creation, GPU selection, training monitoring. Use for training custom models. Don't use for using pre-trained models via API.
Estimates project cost at market rates. Scans codebase, counts APIs, integrations, and complexity. Shows what the project would cost without AI. Use for pitches and ROI demonstrations.
Marketing and conversion optimization. Landing page CRO, copywriting, positioning, GTM strategy, A/B testing. Don't use for product development or technical decisions.
Product management frameworks. PRD writing, user stories, OKRs, roadmap, TAM/SAM/SOM analysis, competitive research. Don't use for technical implementation.
Scraping specific platforms with ready connectors. Google Maps businesses, Twitter trends, YouTube subtitles, Instagram/TikTok content. Use for platform-specific data collection.
Data analysis from external services. Connects to Google Sheets, Notion, HubSpot via Composio. Builds charts, runs queries, generates insights. Don't use for database queries.
| name | batch |
| description | Orchestrates large-scale code changes in parallel. Decomposes work into 5-30 independent units, each agent in isolated git worktree with tests and PR. Use for migrations, refactoring across many files. Don't use for single-file changes. |
| disable-model-invocation | true |
| model | opus |
| effort | high |
| allowed-tools | Read, Write, Edit, Bash, Grep, Glob, Agent |
| argument-hint | <instruction> |
Orchestrate large-scale codebase changes: $ARGUMENTS
