dspy-optimization-workflow
OfficialEnd-to-end DSPy optimization workflow guide.
AuthorQredence
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates and validates end-to-end DSPy optimization workflows within Skills-Fleet, enabling teams to consistently improve skill quality through structured phases, metrics, and production-ready artifacts.
Core Features & Use Cases
- Three-phase DSPy workflow (Foundation, Optimization, Advanced Patterns) guiding signature design, training data, monitoring, and versioning
- API-driven optimization: start, status, and optimizer discovery endpoints for operational control
- Training data management and evaluation focus to improve model quality and reliability
- Monitoring, tracing, and observability hooks to productionize optimization
- Practical usage patterns including baselining, experimentation, and gradual rollout
Quick Start
Start an optimization by selecting an optimizer, supplying a trainset, and monitoring progress via the optimization API.
Dependency Matrix
Required Modules
dspy
Components
scriptsreferences
💻 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-optimization-workflow Download link: https://github.com/Qredence/skill-fleet/archive/main.zip#dspy-optimization-workflow Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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