技能列表

Build a persistent semantic vector index over a Python codebase and search it with natural language. Use when an agent needs to find relevant classes, functions, or modules by meaning rather than exact name — e.g. 'find all classes that handle token payments', 'where is rate limiting implemented?', 'which functions process webhook events?'. Also use when setting up codebase-search for the first time on a new repo, rebuilding a stale index, or integrating semantic search into an agentic coding wo

Intelligent codebase analysis and understanding with caching. Automatically explores project structure, identifies modules, analyzes dependencies, and answers questions about the codebase. Use when onboarding to a new project, before refactoring, or when you need to understand code relationships.

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Run coding tasks using a persistent tmux session with git worktree isolation. Supports multiple coding agents (Claude Code, Codex, CodeBuddy, OpenCode, etc.). Activate when user asks to build, fix, refactor, or review code. Always uses tmux for persistent multi-turn conversation — never one-shot mode.

当用户要求简化代码、重构代码、优化代码、改进代码质量时使用此技能。提供代码简化原则和最佳实践指导，确保代码符合质量标准。

AI-powered code review with security analysis, performance suggestions, and best practice checks. Supports 20+ languages.

Multi-agent code review system using Manager-Worker pattern. Provides comprehensive code analysis from syntax, logic, security, and performance perspectives.

代码审查清单 - A comprehensive code review checklist and guidance tool. Use when user asks about 代码审查、代码检查、PR review、代码质量, or wants to conduct or prepare for a code review. Provides systematic checklist items and best practices.

Use when refactoring research code for publication, adding documentation to existing analysis scripts, creating reproducible computational workflows, or preparing code for sharing with collaborators. Transforms research code into publication-ready, reproducible workflows. Adds documentation, implements error handling, creates environment specifications, and ensures computational reproducibility for scientific publications.

Improve readability, structure, and maintainability of the current local codebase without changing behavior. Use when the user asks to clean up code, reduce duplication, simplify control flow, rename for clarity, or reorganize logic while preserving compatibility. Do not use for feature work disguised as refactoring. Chinese triggers: 重构、优化结构、清理代码、提取重复逻辑、提高可读性、保持行为不变.

A pet for coders. Feed it between deploys at animalhouse.ai. 73+ species. Real-time hunger. Permanent death. The code pet that dies if you ship without checking in.

The first coding agent built for agents. Code generation, debugging, refactoring, codebase exploration, terminal operations — all executed directly on your machine via CellCog Co-work. Starts lightweight and loads multimedia tools on demand when needed.