skills/qredence/skills/dspy-optimization

dspy-optimization

SKILL.md

DSPy Optimization

Guidance for optimizing DSPy programs: teleprompter selection, metric definition, evaluation workflows, and save/load patterns.

Environment Setup

This skill requires uv as the Python package manager.

uv venv
source .venv/bin/activate
uv pip install dspy

Rule: Never use raw pip. Always use uv pip for installs and uv run for script execution.

Quick Start

Optimizing with metrics

# Use the optimize-dspy script
uv run scripts/optimize-dspy.py --module my_module --metric my_metric --examples examples.jsonl

BootstrapFewShot

from dspy.teleprompt import BootstrapFewShot

optimizer = BootstrapFewShot(metric=my_metric, max_bootstrapped_demos=4)
compiled = optimizer.compile(program, trainset=trainset)
compiled.save("./compiled/program.json")

When to Use This Skill

Use this skill when:

  • Running DSPy optimization or compilation with teleprompters
  • Defining custom metrics for DSPy evaluation
  • Evaluating DSPy programs with dev sets
  • Choosing between BootstrapFewShot, MIPROv2, or other optimizers
  • Saving and loading compiled programs

Core Concepts

Optimization Reference

See optimization.md for:

  • Teleprompter selection guide (BootstrapFewShot, MIPROv2, etc.)
  • Metric definition patterns
  • Optimization strategies and hyperparameters
  • Evaluation and testing workflows
  • Save/load best practices (.save() / .load(), never raw pickle)

Scripts

  • optimize-dspy.py: Run optimization with custom metrics and teleprompters

Critical Rules

  1. Always use uv: uv pip for installs, uv run for scripts
  2. Use .save() / .load(): Never use raw pickle for DSPy programs
  3. Use dspy.LM: Never use deprecated dspy.OpenAI or dspy.settings.configure
  4. Mark inputs on examples: Always call .with_inputs() on dspy.Example

Related Skills

  • dspy-core: Signatures, modules, programs, and compilation fundamentals
  • dspy-fleet-rlm: fleet-rlm-specific DSPy patterns and integration

Progressive Disclosure

  1. SKILL.md (this file): Quick reference and navigation
  2. references/: Detailed optimization docs loaded as needed
  3. scripts/: Executable optimization tools
Weekly Installs
7
Repository
qredence/skills
GitHub Stars
1
First Seen
Feb 24, 2026
Installed on
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