Best Practice Skill Creator

Create OpenClaw skills from best practice videos or image sequences. Use when creating skill from video, generating skill from screenshots, converting tutorial to skill, building best practice automation.

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

bash

# 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/