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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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study8677/repobrain
Dernière activité de la source
9 juillet 2026 à 07:50
Langue détectée de SKILL.md
anglais
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1 327
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267

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SKILL.md
Instructions source · Aperçu en lecture seule
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: ```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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