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在实现前澄清需求、探索设计选择,并形成清晰的开发方向。
agent-repo-init【开发与工程】One-click initialization of a multi-agent repository from the RepoBrain template. Use this skill when users want to scaffold a new project quickly (`quick` mode) or with runtime defaults (`full` mode) including MCP toggle, swarm preference context, sandbox type, and optional git init. LLM configuration is handled later by rb-setup.
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quick mode) or with runtime defaults (full mode) including MCP toggle, swarm preference context, sandbox type, and optional git init. LLM configuration is handled later by rb-setup.Initialize a new project from this repository template with two modes.
quick: Fast scaffold with clean copy and minimal setup.full: quick plus runtime profile setup (.env, mission, context profile, init report) and optional git init.Use the portable script in this skill directory:
python skills/agent-repo-init/scripts/init_project.py \
--project-name my-agent \
--destination-root /absolute/path \
--mode quick
Full mode example:
python skills/agent-repo-init/scripts/init_project.py \
--project-name my-agent \
--destination-root /absolute/path \
--mode full \
--enable-mcp \
--disable-swarm \
--sandbox-runtime microsandbox \
--init-git
<destination_root>/<project_name>artifacts/logs/agent_repo_init_report.mdsrc/ modulesfull mode, review .context/agent_runtime_profile.md after generation./rb-setup in the generated project to choose and write the LLM endpoint.