DSPy Programming not prompting LMs skills
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.
Install: /plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills
Works with Claude Code, Cursor · 12 GitHub stars
Install
/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skillsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →AI Skills for Claude Code
Build reliable AI features. Powered by DSPy — a framework that lets you program language models with composable modules instead of hand-writing prompts.
Quick start
The only skill you need out the repo is /ai-do. Describe what you want to build and it tells you which skill to use next.
npx skills add lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-do
Then in Claude Code:
/ai-do I want to build a support ticket classifier
It picks the right skill, generates a ready-to-run prompt, and tells you what to install.
What problem are you solving?
| Your problem | Skill | What it does |
|---|---|---|
| "I want to build something with AI but not sure where to start" | /ai-do |
Describe your problem, get routed to the right skill with a ready-to-use prompt |
| "I'm starting a new AI feature" / "DSPy quickstart" | /ai-kickoff |
Scaffold a complete AI project with the right structure |
| "I need a multi-phase plan for my AI feature" / "what order should I build this in" | /ai-planning |
Create a phased roadmap before you start building |
| "Which DSPy module should I use?" / "Predict vs ChainOfThought" | /ai-choosing-architecture |
Pick the right DSPy pattern and architecture for your task |
| "I need to auto-sort/tag/categorize content" / "classification results are inconsistent" | /ai-sorting |
Build AI that sorts tickets, tags emails, detects sentiment |
| "I need to search docs and answer questions" / "retrieval returns irrelevant results" / "RAG pipeline tutorial" | /ai-searching-docs |
Build AI-powered knowledge base, help center, or doc Q&A |
| "I need AI to answer questions about our database" / "chat with your Postgres" | /ai-querying-databases |
Text-to-SQL: plain English questions over Postgres, MySQL, Snowflake |
| "I need to condense long content into summaries" | /ai-summarizing |
Summarize meetings, articles, threads — with length control |
| "I need to pull structured data from messy text" / "the emails are messy and lack structure" | /ai-parsing-data |
Parse invoices, extract entities, convert text to JSON |
| "I need AI to take actions and call APIs" / "LLM function calling" | /ai-taking-actions |
Build AI that calls APIs, uses tools, and completes tasks |
| "I need AI to write articles, reports, or copy" | /ai-writing-content |
Generate blog posts, product descriptions, newsletters |
| "My AI fails on hard problems that need planning" / "LLM can't do multi-step logic" | /ai-reasoning |
Add multi-step reasoning, Self-Discovery, chain-of-thought |
| "My task needs multiple AI steps" / "LangChain LCEL alternative" | /ai-building-pipelines |
Chain classify, retrieve, generate, verify into one pipeline |
| "I need to verify AI output before users see it" / "LLMs invent data points" | /ai-checking-outputs |
Add guardrails, fact-checking, safety filters, and quality gates |
| "My AI makes stuff up / hallu |
Similar plugs
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local…
Why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
Production-grade engineering skills for AI coding agents.
The 1st Collaborative AI Design Agent Workspace. Local-first and open source. Create prototypes, websites, apps, dashboards, presentations, images, and videos with your team…