intertwine

intertwine / dspy-agent-skills

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DSPy 3.1.x agent skills + validated end-to-end examples for Claude Code and Codex CLI — fundamentals, evaluation, GEPA optimization, and RLM. Three reproducible GEPA-improvement demos on free OpenRouter models.

31
3
100% credibility
Found Apr 20, 2026 at 31 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A pack of specialized skills that teach AI coding assistants how to expertly build, evaluate, optimize, and manage programs using the DSPy framework.

How It Works

1
📰 Discover DSPy Skills

While searching for ways to make your AI coding helper a DSPy expert, you find this friendly pack of ready-to-use skills.

2
💾 Grab the Files

Download the simple folder of skills to your computer from the sharing page.

3
Pick Your Setup Way
🛒
Marketplace Add

Use the one-click button in your AI tool's store to install instantly.

🔧
Quick Setup Script

Run the helpful setup helper that places skills right where your AI expects them.

4
🔄 Refresh Your AI

Restart or reload your AI coding assistant so it recognizes the new skills.

5
✨ Ask for DSPy Help

Simply tell your AI 'Build and optimize a sentiment checker with DSPy' and it crafts a complete, improved program step by step.

🎉 Master DSPy Easily

Your AI now handles all DSPy building, testing, and improving like a pro, letting you focus on great results without the hassle.

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AI-Generated Review

What is dspy-agent-skills?

This Python repo delivers DSPy 3.1.x agent skills for Claude Code and Codex CLI, turning generic coding agents into DSPy specialists via agentskills.io plugins. Drop it in with a one-line install script or marketplace command, and your agent handles DSPy fundamentals, evaluation harnesses, GEPA optimization, RLM for long contexts, and full end-to-end workflows—just prompt it like "build a sentiment classifier and optimize with GEPA." It ships validated dspy github examples and three reproducible demos showing baseline-to-GEPA gains on free OpenRouter models, all runnable offline or live for zero cost.

Why is it gaining traction?

Unlike scattered dspy github repos or basic dspy tutorial github snippets, this dspy agent github pack is spec-compliant for both Claude and Codex CLI, with 60 validation tests ensuring real 3.1.x API fidelity—no inferred docs or breakage. Developers hook on the five-second demos where agents auto-chain skills, plus committed end-to-end evaluation numbers like 81% to 100% on RAG-QA, making dspy github copilot vibes instant. The dual-install script and dry-run modes let you test spy agent skills without commitment.

Who should use this?

AI engineers prototyping DSPy programs in Claude Code who hate prompt-chaining drudgery. Codex CLI users tackling evaluation, GEPA tuning, or RLM codebase QA on large inputs. Teams needing dspy cli github demos to onboard juniors to structured prompting over raw CoT.

Verdict

Grab it if you're in the DSPy ecosystem—solid docs, tests, and free demos outweigh the 1.0% credibility score from 31 stars and v0.1.0 maturity. Early but production-ready for agent augmentation; watch for community growth.

(198 words)

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