AI导哈

智能体工作流

building-with-llms

refoundai/lenny-skills

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.

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安装命令

npx skills add https://github.com/refoundai/lenny-skills --skill building-with-llms

SKILL.md

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.'"

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