菜单
Bootstraps a new multi-agent repository from the RepoBrain template via `init_agent_repo`. Supports quick scaffold and full runtime profile setup including MCP toggle, swarm preference, sandbox type, and optional git init. LLM configuration is handled later by rb-setup.
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/study8677/repobrain --skill agent-repo-init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。
Exposes graph-based retrieval as a tool capability via `query_graph`. Reads normalized graph store files, builds a query-relevant subgraph, and returns LLM-friendly semantic triples with replayable evidence metadata.
High-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support. Exposes `refresh_filesystem` and `ask_filesystem` for building and querying the knowledge graph.
Performs deep research on a topic via `deep_research`. Simulates a multi-step research process and returns a comprehensive research result as a string.
基于 SOC 职业分类
正在显示 SKILL.md
| name | agent-repo-init |
| description | Bootstraps a new multi-agent repository from the RepoBrain template via `init_agent_repo`. Supports quick scaffold and full runtime profile setup including MCP toggle, swarm preference, sandbox type, and optional git init. LLM configuration is handled later by rb-setup. |
This skill bootstraps a new multi-agent repository from the RepoBrain template.
When asked to initialize a fresh repository from this template, call init_agent_repo.
quick: Fast clean scaffold.full: Quick scaffold plus runtime profile setup (.env, mission, context profile, and init report).init_agent_repo(project_name, destination_root=".", mode="quick", enable_mcp=False, enable_swarm=True, sandbox_runtime="local", init_git=False) -> dict<destination_root>/<project_name>.full mode, review .context/agent_runtime_profile.md after generation./rb-setup in the generated project to choose and write the LLM endpoint.