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SkillsMP ha recopilado 4 skills de gradion-ai/freeact. Abre una skill para revisar su origen y sus detalles.
Mostrando 4 de 4 skills recopiladas.
Generate output parsers for mcptools with unstructured return types. Use when a tool returns raw strings or Result models with single str fields and needs structured ParseResult output. Covers testing tools, identifying parseable structures, extending modules…
Idioma del texto original: inglés
Save executed Python code as reusable tools in the gentools package. Use when preserving successful code executions for later reuse. Covers creating package structure (api.py, impl.py), defining Pydantic output models, and implementing the run() interface.
Idioma del texto original: inglés
Structured task planning workflow with user feedback loops. Use when the user explicitly requests planning (e.g., "make a plan", "plan first", "create a plan"). Covers creating plans with actionable steps, iterating based on feedback, saving confirmed plans,…
Idioma del texto original: inglés
Interact with freeact agent via tmux for testing
Idioma del texto original: inglés