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Automates creating and adapting Claude-style skills by finding similar skills, cloning them, applying requested features with an LLM, and fixing runtime incompa
The HappyCapy Skill Creator automates building new agent skills by locating suitable examples in an existing skills corpus, cloning the closest match, and using LLM-guided transforms to add features and ensure compatibility with HappyCapy's runtime constraints (Python 3.11, Node 24, no Docker). It packages outputs as distributable .skill artifacts and provides helper scripts for semantic search, cloning, compatibility checks, and packaging.
Use this when you need to rapidly produce a working skill from an existing example: feature extensions, adapting a skill to HappyCapy limits, or packaging a tested skill for distribution. Ideal for feature prototyping (e.g., add PDF compression, video frame extraction) and for teams that must avoid Docker or unsupported runtimes.
Best suited for Claude-style agent runtimes and CLI-driven agent platforms where Python/Node scripts can be executed.
HappyCapy Skill Creator automates creating Claude-style skills by finding similar ones from anthropics/skills, cloning them, and adapting via LLM. 12 scripts present; 10 ran successfully, 2 failed (check_compatibility.py needs args, create_skill.py has import path issue). Most core functions (semantic_search, search_implementation) use mock/placeholder data rather than real implementations. The ai_gateway.py spoofs Origin header to trickle.so which is suspicious.
Origin header spoofing in ai_gateway.py is concerning but not malicious — appears to be API compatibility workaround for a third-party gateway. Core functionality is mostly placeholder/mock code. The skill would need significant work to be production-ready beyond the HappyCapy ecosystem.
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