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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- Repository
- study8677/repobrain
- Last source activity
- July 9, 2026 at 07:50
- Detected SKILL.md language
- English
- Stars
- 1,325
- Forks
- 265
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- 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:
```bash
python skills/agent-repo-init/scripts/init_project.py \
--project-name my-agent \
--destination-root /absolute/path \
--mode quick
```
Full mode example:
```bash
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.
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