# Chief

> Multi-agent orchestration framework for automating ML/AI, backend, and DevOps workflows. Use when building ML pipelines, training models, creating APIs, deploying to cloud, or setting up infrastructure.

- Skill: `muhammederem/chief` (Agent Skill, multi-file: 7 files)
- Install (CLI): `npx skillmds@latest add muhammederem/chief`
- Raw SKILL.md: https://api.skillmd.com/api/skills/muhammederem/chief/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: muhammederem (https://skillmd.com/u/muhammederem)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/muhammederem/chief

---


# Chief Orchestration Framework

Chief is a powerful multi-agent orchestration framework that automates complex workflows across ML/AI, backend development, and DevOps.

## When to Use

Use Chief when you need to:
- **Train or fine-tune ML models** (PyTorch, Hugging Face, LangChain)
- **Build backend APIs** (FastAPI, GraphQL, REST)
- **Deploy to cloud** (AWS Lambda, SageMaker, ECS)
- **Create CI/CD pipelines** (GitHub Actions, GitLab CI)
- **Generate infrastructure** (Terraform, Docker, Kubernetes)
- **Build RAG applications** with vector databases

## Installation

```bash
git clone https://github.com/muhammederem/chief.git
cd chief
pip install -e .
```

## Quick Commands

### ML/AI Workflows
```bash
# Train a PyTorch model
chief exec /train model_type=cnn dataset=/data/images epochs=50

# Fine-tune Hugging Face model
chief exec /finetune model=bert-base-uncased dataset=custom_data output_dir=/models/bert

# Build RAG pipeline
chief exec /rag llm=gpt-4 vector_db=pinecone data=/documents
```

### Backend Development
```bash
# Generate FastAPI project
chief exec /api project_name=my_api framework=fastapi features=auth,database

# Add Docker configuration
chief exec /dockerize app_type=fastapi port=8000 include_compose=true

# Integrate database
chief exec /database type=postgresql orm=sqlalchemy
```

### DevOps & Deployment
```bash
# Deploy to AWS Lambda
chief exec /deploy service=lambda app_name=processor runtime=python3.9

# Create CI/CD pipeline
chief exec /pipeline platform=github stages=test,build,deploy

# Generate Terraform config
chief exec /terraform provider=aws resources=ec2,s3,rds region=us-west-2
```

## Project Templates

Generate complete project scaffolds:

```bash
# List available templates
chief template list

# Generate PyTorch project
chief template generate pytorch-starter my_project

# Generate FastAPI microservice
chief template generate fastapi-microservice my_api

# Generate MLOps pipeline
chief template generate mlops-pipeline my_pipeline
```

## Key Features

- **Multi-Agent System**: ML Engineer, Backend Architect, DevOps Engineer
- **Intelligent Routing**: Automatically routes tasks to the right agent
- **Domain Knowledge**: Auto-loads skills for PyTorch, Hugging Face, FastAPI, AWS, etc.
- **Project Templates**: Ready-to-use scaffolds for common architectures
- **Load Balancing**: Work-stealing, round-robin strategies for parallel execution

## Documentation

See [docs/](docs/) for complete documentation.

## Repository

https://github.com/muhammederem/chief