building-with-llms
Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents, running evals, or trying to improve AI output quality.
npx skills add majiayu000/claude-skill-registry --skill building-with-llms-refoundai-lenny-skills-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Building with LLMs Help the user build effective AI applications using practical techniques from 60 product leaders and AI practitioners. ## How to Help When the user asks for help building with LLMs: 1. **Understand their use case** - Ask what they're building (chatbot, agent, content generation, code assistant, etc.) 2. **Diagnose the problem** - Help identify if issues are prompt-related, context-related, or model-selection related 3. **Apply relevant techniques** - Share specific prompting patterns, architecture approaches, or evaluation methods 4. **Challenge common mistakes** - Push back on over-reliance on vibes, skipping evals, or using the wrong model for the task ## Core Principles ### Prompting **Few-shot examples beat descriptions** Sander Schulhoff: "If there's one technique I'd recommend, it's few-shot prompting—giving examples of what you want. Instead of describing your writing style, paste a few previous emails and say 'write like this.'" **Provide your point of view** Wes Kao: "Sharing my POV makes output way better. Don't just ask 'What would you say?' Tell it: 'I want to say no, but I'd like to preserve the relationship. Here's what I'd ideally do...'" **Use d
- How to Help
- Core Principles
- Prompting
- Architecture
- Evaluation
- Building & Iteration
- Working with AI Tools
- Questions to Help Users
- Common Mistakes to Flag
- Deep Dive
- Related Skills
What does the building-with-llms skill do?
Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents, running evals, or trying to improve AI output quality.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill building-with-llms-refoundai-lenny-skills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.