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Entwicklung · SKILL.md

agent-repo-init

agent-repo-init

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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Skill-Dokumentation

GitHub

name: agent-repo-init description: 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.

Agent Repo Init

Initialize a new project from this repository template with two modes.

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.

Run via Script

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

Expected Output

  • New project at <destination_root>/<project_name>
  • Clean copy without local runtime state
  • Initialization report at artifacts/logs/agent_repo_init_report.md
  • Script is self-contained and does not import project src/ modules

Notes

  • Keep destination outside the current template repository.
  • For full mode, review .context/agent_runtime_profile.md after generation.
  • Run /rb-setup in the generated project to choose and write the LLM endpoint.
Gespeicherte Skills