AI skills for Claude Code, Cursor, and other coding agents. Build reliable AI features with DSPy — classification, RAG, parsing, agents, and more. Just type /ai-do.
This repository also configures its own agents. See what DSPy-Programming-not-prompting-LMs-skills tells them →
lebsral/DSPy-Programming-not-prompting-LMs-skills
Plugin Claude Code
Bundles 28 skills · 3,470 tokens together
Skills for building AI features: routing, classification, search, database Q&A, summarization, parsing, tool use, content generation, translation, recommendations, redaction, record matching, data cleaning, anomaly detection, notifications, image understanding, text rewriting, chatbots, agents, scoring, moderation…
lebsral/DSPy-Programming-not-prompting-LMs-skills
Plugin Claude Code
Bundles 9 skills · 1,387 tokens together
Skills for improving AI quality and reliability: output validation, hallucination prevention, rule enforcement, accuracy optimization, consistency, task decomposition, data generation, and fine-tuning.
lebsral/DSPy-Programming-not-prompting-LMs-skills
Plugin Claude Code
Bundles 8 skills · 1,196 tokens together
Skills for AI production operations: cost optimization, model switching, monitoring, request tracing, experiment tracking, safety testing, and error debugging.
lebsral/DSPy-Programming-not-prompting-LMs-skills
Plugin Claude Code
Bundles 39 skills · 7,096 tokens together
API-first skills for users who already know DSPy: signatures, LM config, modules, data handling, evaluation, inference modules, optimizers, adapters, tools, retrieval, and utilities.
lebsral/DSPy-Programming-not-prompting-LMs-skills
Plugin Claude Code
Bundles 11 skills · 1,521 tokens together
Skills for external ecosystem tools that integrate with DSPy.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: