happycapy-skill-creator

name	happycapy-skill-creator
description	Automate HappyCapy skill creation by finding and adapting existing skills from anthropics/skills repository. Handles environment constraints (Python 3.11, Node.js 24, no Docker). Use when user wants to create or adapt skills for specific tasks.

HappyCapy Skill Creator

Automate skill creation through adaptation rather than building from scratch.

Workflow

python scripts/create_skill.py "Your requirement here" --name skill-name

Process:

1. Search anthropics/skills for similar skills (semantic + LLM)
2. Clone the closest match
3. Add requested features using LLM
4. Auto-fix HappyCapy compatibility (remove Docker, adapt dependencies)
5. Package as .skill file

Core Scripts

create_skill.py

Main orchestrator - runs full workflow end-to-end

semantic_search.py

LLM-powered semantic search of anthropics/skills repository

clone_skill.py

Clone skill from GitHub (anthropics/skills)

integrate_feature.py

Add new features using LLM fine-tuning

check_compatibility.py

Scan for HappyCapy incompatibilities (Docker, unsupported runtimes, memory issues)

auto_fix.py

Auto-fix compatibility issues with LLM rewrites

package_skill.py

Create distributable .skill file (zip format)

Examples

Compress PDFs:

python scripts/create_skill.py "I need to compress PDF files"
# Finds pdf skill → Clones → Adds compress function → Packages

Extract video frames:

python scripts/create_skill.py "Extract frames from videos every second"
# Finds video-frames skill → Clones → Adds interval parameter → Packages

Environment Constraints

HappyCapy provides:

• ✅ Python 3.11, Node.js 24
• ✅ pandoc, ImageMagick, jq
• ✅ 4GB RAM, 2 CPU cores

HappyCapy does NOT support:

• ❌ Docker, Java, Ruby, Go

The tool automatically fixes incompatibilities.

Requirements

• Python 3.11+
• AI_GATEWAY_API_KEY environment variable (auto-configured in HappyCapy)
• Internet connection (to clone from anthropics/skills)

Advanced

Use improved auto-fix with batching:

from scripts.auto_fix_improved import fix_compatibility_issues

fix_compatibility_issues(
    skill_path=path,
    issues=issues,
    batch_size=5,      # Process 5 issues per batch
    max_retries=2      # Retry failed fixes up to 2 times
)

Troubleshooting: See references/bugfixes.md for known issues and solutions

Environment details: See references/happycapy-environment.md