Individual skill

dspy-advanced-workflow

Build DSPy 3.2.x programs through spec, program, metric and baseline; extend to optimization and export when requested and justified by task budget. Orchestrates the other four DSPy skills (dspy-fundamentals, dspy-evaluation-harness, dspy-gepa-optimizer, dspy-rlm-module) in the correct order. Use for greenfield DSPy builds; prototypes may stop at a validated baseline.

skills/dspy-advanced-workflow/SKILL.md

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Last checked: Nov 5, 2026

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Repository stars (not skill ratings): 278
Repository last updated: Sep 6, 2026
License: MIT

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# DSPy Advanced Workflow (2026)

This skill runs the seven-step loop that turns a natural-language task description into an optimized, saved, deployable DSPy program. Use the relevant steps in order. Stop at a validated baseline for a prototype; optimizer runs require an appropriate authorized budget and evidence of need. Exporting a local artifact does not authorize deployment.

## The seven steps

### 1. Spec

Rephrase the user's task in one sentence. Identify inputs, outputs, the quality axis that matters, and any constraints (latency, cost, tool access, context size). Pick predictor shape:

| Task shape | Predictor |
|---|---|
| Single-step structured I/O | `dspy.Predict` / `dspy.ChainOfThought` |
| Tool use / multi-step | `dspy.ReAct` |