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OpenClaw

swarm-coding-skill

Autonomous multi-agent code generation. Planner creates manifest, specialized roles execute tasks. Generates complete projects with tests, Docker, CI, and decision logs.

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Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install arunnadarasa/swarm-coding-skill

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Swarm Coding Skill

Fully autonomous multi-agent software development. Given a plain-English prompt, the swarm designs, implements, tests, and delivers a complete project end-to-end.

Core capability: Code generation via OpenRouter's qwen3-coder model. The orchestrator drives a Planner to create a manifest, then executes specialized worker roles (BackendDev, FrontendDev, QA, DevOps, etc.) in dependency order. All code is written to files; no interactive sessions.

Important: This skill generates code for review and deployment by the user. It does not make business decisions or operate autonomously in production. The user remains responsible for security, compliance, and operational decisions.

How It Works

  1. Orchestrator (Planner role) analyzes your prompt, decides tech stack and architecture, and creates a swarm.yaml manifest with tasks and dependencies.
  2. Worker agents (BackendDev, FrontendDev, QA, DevOps) are spawned as sub-sessions. Each has a clear persona and works on its assigned files in a shared workspace.
  3. Coordination: The orchestrator tracks task completion and dependencies. When a task finishes, it marks it done and starts any unblocked downstream tasks.
  4. Conflict avoidance: Files are partitioned by role (Backend owns server/, Frontend owns client/, etc.). If two roles need the same file, the manifest assigns an owner.
  5. Quality gates: QA must pass tests before integration; DevOps ensures containerization; no merge without green tests.
  6. Deliverable: You get a complete project directory with README, tests, Dockerfile, and optionally a GitHub repo or zip.

Usage

# In your main OpenClaw session, invoke:
/trigger swarm-code "Build a dashboard that shows Moltbook stats and ClawCredit status"

The skill will:

  • Spawn the orchestrator in an isolated session
  • Orchestrator spawns workers sequentially or in parallel (based on dependencies)
  • Output a final summary and path to the...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/arunnadarasa/swarm-coding-skill
Version
—
Commit
6686a997dcb4dc8f0f968b11fd90e06074d52666
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

Swarm Coding Skill

Fully autonomous multi-agent software development. Give a plain-English prompt describing an app, and the swarm designs, implements, tests, and delivers a complete project end-to-end.

Requirements

  • Node.js v18+
  • OpenRouter API key with access to qwen/qwen3-coder
  • Workspace with .env containing OPENROUTER_API_KEY

Usage

# From the workspace root, run:
cd clawhub-swarm-coding-skill
node orchestrator.js "Build a dashboard that shows Moltbook stats and ClawCredit status"

The orchestrator will:

  1. Create a project workspace under swarm-projects/<timestamp>/
  2. Spawn a Planner (uses qwen-coder) to generate a swarm.yaml manifest
  3. Execute specialized workers: BackendDev, FrontendDev, QA, DevOps
  4. Assemble final project in the same directory
  5. Print the final location on success

You can then cd into that directory and run npm install and npm start.

How It Works

  • Exclusive model: All agents use qwen/qwen3-coder (the correct OpenRouter model ID is qwen/qwen3-coder, not openrouter/qwen/qwen3-coder).
  • Manifest: A YAML-like JSON describing roles, outputs, and dependencies
  • Workers: Each runs sequentially based on dependencies; each writes files to a shared files/ workspace
  • Retry: Failed tasks are retried once with stricter instructions
  • Quality: QA must create tests; DevOps adds Docker and CI; all code is production-style
Model Access

Ensure your OpenRouter API key has qwen/qwen3-coder enabled:

  1. Go to https://openrouter.ai/keys
  2. Edit your key
  3. Under "Model Access", check qwen/qwen3-coder
  4. Save

If you get "not a valid model ID" errors, it usually means the model ID format is wrong or your key lacks access.

Output Structure

swarm-projects/
└── swarm-2026-02-14T21-30-00/
    ├── swarm.yaml              # manifest
    ├── tasks.json              # execution log
    ├── DECISIONS.md            # architectural decisions with rationale
    ├── .learn...

Contenu extrait

SKILL.md
# Swarm Coding Skill

Fully autonomous multi-agent software development. Given a plain-English prompt, the swarm designs, implements, tests, and delivers a complete project end-to-end.

**Core capability:** Code generation via OpenRouter's qwen3-coder model. The orchestrator drives a Planner to create a manifest, then executes specialized worker roles (BackendDev, FrontendDev, QA, DevOps, etc.) in dependency order. All code is written to files; no interactive sessions.

**Important:** This skill **generates code** for review and deployment by the user. It does not make business decisions or operate autonomously in production. The user remains responsible for security, compliance, and operational decisions.

## How It Works

1. **Orchestrator** (`Planner` role) analyzes your prompt, decides tech stack and architecture, and creates a `swarm.yaml` manifest with tasks and dependencies.
2. **Worker agents** (`BackendDev`, `FrontendDev`, `QA`, `DevOps`) are spawned as sub-sessions. Each has a clear persona and works on its assigned files in a shared workspace.
3. **Coordination**: The orchestrator tracks task completion and dependencies. When a task finishes, it marks it done and starts any unblocked downstream tasks.
4. **Conflict avoidance**: Files are partitioned by role (Backend owns `server/`, Frontend owns `client/`, etc.). If two roles need the same file, the manifest assigns an owner.
5. **Quality gates**: QA must pass tests before integration; DevOps ensures containerization; no merge without green tests.
6. **Deliverable**: You get a complete project directory with README, tests, Dockerfile, and optionally a GitHub repo or zip.

## Usage

```bash
# In your main OpenClaw session, invoke:
/trigger swarm-code "Build a dashboard that shows Moltbook stats and ClawCredit status"
```

The skill will:
- Spawn the orchestrator in an isolated session
- Orchestrator spawns workers sequentially or in parallel (based on dependencies)
- Output a final summary and path to the...
README
# Swarm Coding Skill

Fully autonomous multi-agent software development. Give a plain-English prompt describing an app, and the swarm designs, implements, tests, and delivers a complete project end-to-end.

## Requirements

- Node.js v18+
- OpenRouter API key with access to `qwen/qwen3-coder`
- Workspace with `.env` containing `OPENROUTER_API_KEY`

## Usage

```bash
# From the workspace root, run:
cd clawhub-swarm-coding-skill
node orchestrator.js "Build a dashboard that shows Moltbook stats and ClawCredit status"
```

The orchestrator will:
1. Create a project workspace under `swarm-projects/<timestamp>/`
2. Spawn a Planner (uses qwen-coder) to generate a `swarm.yaml` manifest
3. Execute specialized workers: BackendDev, FrontendDev, QA, DevOps
4. Assemble final project in the same directory
5. Print the final location on success

You can then `cd` into that directory and run `npm install` and `npm start`.

## How It Works

- **Exclusive model**: All agents use `qwen/qwen3-coder` (the correct OpenRouter model ID is `qwen/qwen3-coder`, *not* `openrouter/qwen/qwen3-coder`).
- **Manifest**: A YAML-like JSON describing roles, outputs, and dependencies
- **Workers**: Each runs sequentially based on dependencies; each writes files to a shared `files/` workspace
- **Retry**: Failed tasks are retried once with stricter instructions
- **Quality**: QA must create tests; DevOps adds Docker and CI; all code is production-style

### Model Access

Ensure your OpenRouter API key has `qwen/qwen3-coder` enabled:
1. Go to https://openrouter.ai/keys
2. Edit your key
3. Under "Model Access", check `qwen/qwen3-coder`
4. Save

If you get `"not a valid model ID"` errors, it usually means the model ID format is wrong or your key lacks access.

## Output Structure

```
swarm-projects/
└── swarm-2026-02-14T21-30-00/
    ├── swarm.yaml              # manifest
    ├── tasks.json              # execution log
    ├── DECISIONS.md            # architectural decisions with rationale
    ├── .learn...

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