dspy-gepa-reflective
CommunityReflectively optimize agentic DSPy workflows.
AuthorOmidZamani
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill introduces GEPA, the newest DSPy optimizer that uses LLM reflection on full execution traces to search for Pareto-optimal improvements in agentic systems.
Core Features & Use Cases
- Feedback-driven optimization: Metrics return (score, feedback) to guide improvements.
- Phase-based workflow: Define a metric, configure a reflection LM, and compile an optimized program.
- Production-ready: Apply GEPA to complex agents with tool use to improve reliability and performance.
Quick Start
Define a metric that returns a (score, feedback) pair, configure the reflection LM, set the auto mode, and compile the agent with GEPA.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: dspy-gepa-reflective Download link: https://github.com/OmidZamani/dspy-skills/archive/main.zip#dspy-gepa-reflective Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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