
Llm Application Dev
This is a solid reference for building LLM-powered features into your applications. You get practical patterns for prompt engineering (structured prompts, few-shot examples, chain of thought), complete code samples for integrating OpenAI and Anthropic APIs, and a working RAG implementation with document chunking and vector search using pgvector. The error handling section covers retry logic and rate limiting, which you'll definitely need in production. It's TypeScript-focused and assumes you're familiar with async patterns. Best used when you're past the experimentation phase and need production-ready patterns for chatbots, semantic search, or AI-enhanced features.
- skills.sh installs
- 466
- GitHub stars
- 1.2K
- last updated
- May 5, 2026
Install
$ npx -y skills add moizibnyousaf/ai-agent-skills --skill llm-application-dev --agent claude-codeInstalls into .claude/skills of the current project.
Files
LLM Application Development
Prompt Engineering
Structured Prompts
const systemPrompt = `You are a helpful assistant that answers questions about our product.
RULES:
- Only answer questions about our product
- If you don't know, say "I don't know"
- Keep responses concise (under 100 words)
- Never make up information
CONTEXT:
{context}`;
const userPrompt = `Question: {question}`;
Few-Shot Examples
const prompt = `Classify the sentiment of customer feedback.
Examples:
Input: "Love this product!"
Output: positive
Input: "Worst purchase ever"
Output: negative
Input: "It works fine"
Output: neutral
Input: "${customerFeedback}"
Output:`;
Chain of Thought
const prompt = `Solve this step by step:
Question: ${question}
Let's think through this:
1. First, identify the key information
2. Then, determine the approach
3. Finally, calculate the answer
Step-by-step solution:`;
API Integration
OpenAI Pattern
import OpenAI from 'openai';
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
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Details
- Repository
- github.com/moizibnyousaf/ai-agent-skills
- Categories
- AI & Agent Building, Automation & Workflows
- License
- MIT
- First seen
- Jun 11, 2026
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- Browse And Evaluate177
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- Build Workspace Docs172
- Audit Library Health170
- Update Installed Skills168
- Install From Remote Library161
- Share A Library161
- Curate A Team Library160
- Migrate Skills Between Libraries158
- Backend Development874
- Database Design615
- Code Documentation569
- Best Practices531
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