0.1.0

First public release of dspy-agent-skills — a spec-compliant pack of 5 agent skills + 3 validated end-to-end examples that teach Claude Code and Codex CLI to build, optimize, and ship DSPy 3.1.x programs.

Skills

Skill	Purpose
dspy-fundamentals	Signatures, Modules, Predict/ChainOfThought/ReAct, save/load
dspy-evaluation-harness	Rich-feedback metrics + dspy.Evaluate
dspy-gepa-optimizer	dspy.GEPA reflective optimization
dspy-rlm-module	dspy.RLM long-context / REPL reasoning
dspy-advanced-workflow	End-to-end pipeline orchestration

Validated end-to-end examples

All three run on free OpenRouter models — $0 reproduction:

Example	Task LM	Baseline	Optimized	Δ
01-rag-qa	GLM 4.5 Air (32B)	81.15	100.00	+18.85
02-math-reasoning	Liquid LFM 2.5 (1.2B)	45.00	70.00	+25.00
03-invoice-extraction	Liquid LFM 2.5 (1.2B)	0.833	0.931	+0.098

Install

/plugin marketplace add intertwine/dspy-agent-skills
/plugin install dspy-agent-skills@dspy-agent-skills

Or for Claude Code + Codex CLI together:

git clone https://github.com/intertwine/dspy-agent-skills
cd dspy-agent-skills
./scripts/install.sh

What's covered by tests

60 validators across: SKILL.md frontmatter spec, JSON manifest schemas, Python AST on every example, and regression guards that prevent subtle teaching-material drift (e.g. dict-returning metrics, stale DSPy attribute names).

Compatibility

• DSPy 3.1.x (tested against 3.1.3)
• Claude Code skill spec as of 2026-04-17
• Codex CLI Agent Skills format
• Python 3.10+