# 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.

- Skill: `dvcrn/best-practice-skill-creator` (Agent Skill, multi-file: 16 files)
- Install (CLI): `npx skillmds@latest add dvcrn/best-practice-skill-creator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/best-practice-skill-creator/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/best-practice-skill-creator

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# 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

```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/`