Building apps with large language models takes more than just writing prompts. You need smart techniques to get reliable results. This skill shares practical advice from 60 product leaders and AI practitioners.
You will learn how to pick the right model, design better prompts, and use context to improve output. The guide covers few-shot examples, decomposition, and self-criticism to make your AI work better.
You also get tips on architecture like RAG for better data and layered models for higher accuracy. Eval methods help you measure performance. This skill is for anyone building chatbots, agents, or content generation tools.
Global
mkdir -p ~/.claude/skills/building-with-llmsProject
mkdir -p .claude/skills/building-with-llmsSource Repository
Find Skillsvercel-labs/skills
Find and install the perfect skill to extend your AI agent
Microsoft Foundrymicrosoft/azure-skills
Build, deploy, and improve AI agents on Microsoft Foundry from start to finish
Azure Aimicrosoft/azure-skills
Search, transcribe, and analyze with Azure AI tools for smarter apps
Azure Hosted Copilot Sdkmicrosoft/azure-skills
Build, deploy, and manage your Copilot SDK apps on Azure with ease
Triagemattpocock/skills
Triage issues with a state machine driven by clear roles and agent briefs
Handoffmattpocock/skills
Hand off your work to another AI agent with a clear summary
Image Editagentspace-so/runcomfy-agent-skills
Smart router picks the best AI model for your image editing needs
Agentspaceagentspace-so/skills
See your AI agent's live folder from any browser instantly