design-agent-reward-functions
CommunityTranslate BDD scenarios into strict boundary constraints for autonomous agents.
Software Engineering#autonomous agents#agent execution#reward functions#BDD Gherkin#boundary constraints
AuthorEnigmaWU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps address the challenge of autonomous agents suffering from reasoning drift and hallucinations by converting BDD Gherkin scenarios into verifiable reward functions.
Core Features & Use Cases
- BDD Scenario Conversion: Translates classic BDD Gherkin scenarios into strict boundary constraints for autonomous agents.
- Verifiable Reward Functions: Creates reward functions that act as hard constraints, preventing agents from drifting and hallucinating.
- Use Case: Use this Skill when defining the "Done" state for an agentic task or when dealing with infinite recursion in agent loops.
Quick Start
Execute the design-agent-reward-functions skill to convert your BDD Gherkin scenarios into verifiable reward functions for autonomous agents.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: design-agent-reward-functions Download link: https://github.com/EnigmaWU/MyCodeAgentSkills/archive/main.zip#design-agent-reward-functions Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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