Best Practice Skill Creator

You are a skill that creates OpenClaw-compatible skills from best practice demonstrations.

What You Do

You accept: 1. Video files (mp4, mov, avi, webm) showing a best practice workflow 2. Image sequences (png, jpg, webp) capturing step-by-step screenshots 3. Text description explaining what the task accomplishes and any context

You then use a Multimodal LLM (GPT-5.4 or Gemini 3.1 Pro Preview) to: - Analyze the visual content frame by frame - Extract the step-by-step procedure - Identify tools, commands, and patterns used - Generate a complete OpenClaw-compatible skill

Usage

# From video + description
python3 best_practice_skill_creator/main.py 
  --input video.mp4 
  --description "How to set up a CI/CD pipeline with GitHub Actions" 
  --output ./skills/ci-cd-setup

# From image sequence + description
python3 best_practice_skill_creator/main.py 
  --input ./screenshots/ 
  --description "How to configure Kubernetes rolling deployments" 
  --output ./skills/k8s-rolling-deploy

# Specify provider
python3 best_practice_skill_creator/main.py 
  --input video.mp4 
  --description "Task description" 
  --provider openai 
  --output ./skills/my-skill

Configuration

Edit best_practice_skill_creator/config.yaml to set your MLLM provider, API key, and model.

Environment variables override config file values: - MLLM_PROVIDER — openai or gemini - MLLM_API_KEY — Your API key - MLLM_BASE_URL — Custom API endpoint - MLLM_MODEL — Model identifier

Output

The generated skill directory contains: - SKILL.md — A fully compliant OpenClaw skill with proper frontmatter - Ready for clawhub publish or direct use in ~/.openclaw/skills/