Understand Domain

AI 代理的上下文运行时 — 包含 59 个 MCP 工具、10 种读取模式、95+ 种 shell 模式、支持 18 种语言的 tree-sitter AST。将 LLM 上下文压缩高达 99%。用于读取文件、运行 shell 命令、搜索代码或探索目录。如果不存在，则自动安装。

分析代码库以生成交互式知识图谱，用于理解架构、组件和关系

启动交互式 Web 仪表板，以可视化代码库的知识图谱

Extract entities and relations from source files to build a knowledge graph

Extract the conceptual essence of a repository as skills, agents, and teams — the project's roles, procedures, and coordination patterns expressed as agentskills.io-standard definitions. Reads an arbitrary codebase and produces generalized definitions that capture WHAT the project does and WHO operates it, without replicating HOW it does it. Use when onboarding to a new codebase and wanting to understand its conceptual architecture, when bootstrapping an agentic system from an existing project, when studying a project's organizational DNA for cross-pollination, or when creating a skill/agent/team library inspired by a reference implementation.

将代码库映射为按功能分组的流程图，识别不同功能之间的重复关注点，并提出统一的架构。在被要求“寻找理想路径”、统一重复系统或在重构前审计架构时使用。输出一个建议的统一流程图以及针对每个系统的“制定计划”提示。