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SkillHub ClubAnalyze Data & AIFull StackData / AI

dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
5,242
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
C67.6

Install command

npx @skill-hub/cli install orchestra-research-ai-research-skills-dspy
Prompt EngineeringDSPyDeclarative ProgrammingRAGAgentsPrompt OptimizationLM ProgrammingStanford NLPAutomatic OptimizationModular AI

Repository

Orchestra-Research/AI-Research-SKILLs

Skill path: 16-prompt-engineering/dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: Orchestra-Research.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install dspy into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/Orchestra-Research/AI-Research-SKILLs before adding dspy to shared team environments
  • Use dspy for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

dspy | SkillHub