happycapy-skill-creator
Skill137 starsChanged 6 months agoMITView on GitHub
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.
- Reads credentials
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Search anthropics/skills for similar skills (semantic + LLM)
- Distinctive: line 19
Add requested features using LLM
- Distinctive: line 35
Add new features using LLM fine-tuning
- Distinctive: line 44
Create distributable .skill file (zip format)
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
HappyCapy Skill Creator
Automate skill creation through adaptation rather than building from scratch.
Workflow
python scripts/create_skill.py "Your requirement here" --name skill-nameProcess:
- Search anthropics/skills for similar skills (semantic + LLM)
- Clone the closest match
- Add requested features using LLM
- Auto-fix HappyCapy compatibility (remove Docker, adapt dependencies)
- Package as
.skillfile
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 → PackagesExtract video frames:
python scripts/create_skill.py "Extract frames from videos every second"
# Finds video-frames skill → Clones → Adds interval parameter → PackagesEnvironment 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_KEYenvironment 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
In this repository59 other files it gives its agents.
- skills/supabase-postgres-best-practices/AGENTS.mdAGENTS.md
- skills/supabase-postgres-best-practices/CLAUDE.mdCLAUDE.md
- 360-panorama-viewerSkill
- 3d-web-experienceSkill
- acid-labels-pptxSkill
- ai-image-generationSkill
- ai-video-generationSkill
- apricot-ritual-pptxSkill
- azure-host-pptxSkill
- better-auth-best-practicesSkill
- botanical-blur-pptxSkill
- building-native-uiSkill
- canvas-designSkill
- capy-cortexSkill
- capy-video-gen-skillSkill
- claude-code-templatesSkill
- contract-first-agentsSkill
- coral-geyser-pptxSkill
- create-design-system-rulesSkill
- data-storytellingSkill
- film-creatorSkill
- find-skillsSkill
- frontend-slidesSkill
- gbro-collage-brollSkill
- generate-imageSkill
- goplacesSkill
- gradient-calendar-pptxSkill
- happycapy-feishuSkill
- happycapy-social-publisherSkill
- html-over-markdownSkill
- image-enhancerSkill
- latex-documentSkill
- llm-councilSkill
- mobile-app-developerSkill
- mobile-designSkill
- nano-banana-proSkill
- neon-motion-pptxSkill
- next-best-practicesSkill
- olive-rose-pptxSkill
- oss-contributor-swarmSkill
- pdfSkill
- pptxSkill
- prompt-improverSkill
- redbook-creator-publishSkill
- reddit-post-writerSkill
- reddit-post-writerSkill
- resume-assistantSkill
- signal-green-pptxSkill
- skill-creatorSkill
- slack-gif-creatorSkill
- supabase-postgres-best-practicesSkill
- treatment-plansSkill
- video-downloaderSkill
- video-framesSkill
- weatherSkill
- world-class-carouselSkill
- writing-clearly-and-conciselySkill
- xiaohongshu-recruiterSkill
- youtube-musicSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

