HappyCapy Skill Creator automates the process of finding, adapting, and packaging existing agent skills so they run within HappyCapy's constrained environment. It uses semantic search over known skill repositories, clones the best match, applies requested feature changes using LLM assistants, auto-fixes compatibility issues (removing Docker, adjusting runtimes), and packages the result as a distributable .skill file. The workflow is driven by scripts such as create_skill.py, semantic_search.py, and auto_fix.py.
Use this tool when you need to port or create skills quickly for HappyCapy — for example, when Docker or certain runtimes are disallowed, or when you want to rapidly prototype a feature by adapting an existing skill rather than building from scratch. It's ideal for maintainers who want repeatable, LLM-assisted conversions and packaging.
Designed to be run in CI or developer environments that can execute Python orchestration scripts; compatible with LLM-driven toolchains and agents that can perform repository cloning and local code transforms (Copilot-style, GPT/Anthropic-based toolchains).
This skill has not been reviewed by our automated audit pipeline yet.
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