output-parsers by gradion-ai
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 with ParseResult models, and creating parser implementations.
Testing
119 Stars
8 Forks
Updated Jan 11, 2026, 04:14 PM
Why Use This
This skill provides specialized capabilities for gradion-ai's codebase.
Use Cases
- Developing new features in the gradion-ai repository
- Refactoring existing code to follow gradion-ai standards
- Understanding and working with gradion-ai's codebase structure
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License NOASSERTION