This skill refines DSPy outputs through iterative reward-based checks and best-of-N selection to meet format, length, and content constraints.
npx playbooks add skill omidzamani/dspy-skills --skill dspy-output-refinement-constraints
This skill refines DSPy outputs through iterative reward-based checks and best-of-N selection to meet format, length, and content constraints.
This compact 19-word instruction set is purpose-built for testing & qa work in AI coding agents. Install with a single command.
This skill refines DSPy outputs through iterative reward-based checks and best-of-N selection to meet format, length, and content constraints.
Dspy Output Refinement Constraints is a free testing & qa skill for AI coding agents. This skill refines DSPy outputs through iterative reward-based checks and best-of-N selection to meet format, length, and content constraints.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill omidzamani/dspy-skills --skill dspy-output-refinement-constraints in your terminal to install Dspy Output Refinement Constraints into your Claude Code session. It works immediately after installation.
Dspy Output Refinement Constraints is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Dspy Output Refinement Constraints is completely free and open source. The full source is available on GitHub at https://github.com/omidzamani/dspy-skills/tree/main/skills/dspy-output-refinement-constraints. You only need a subscription to the AI agent you use it with.
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