llm-integration
LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization
Profile →npx skills add rohitg00/awesome-claude-code-toolkit --skill llm-integration --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.
# LLM Integration ## API Client Pattern ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic(); async function generateResponse( systemPrompt: string, userMessage: string, options?: { maxTokens?: number; temperature?: number } ): Promise<string> { const response = await client.messages.create({ model: "claude-sonnet-4-20250514", max_tokens: options?.maxTokens ?? 1024, temperature: options?.temperature ?? 0, system: systemPrompt, messages: [{ role: "user", content: userMessage }], }); const textBlock = response.content.find(block => block.type === "text"); return textBlock?.text ?? ""; } ``` ## Streaming Responses ```typescript async function streamResponse( messages: Array<{ role: "user" | "assistant"; content: string }>, onChunk: (text: string) => void ): Promise<string> { const stream = client.messages.stream({ model: "claude-sonnet-4-20250514", max_tokens: 4096, messages, }); let fullText = ""; for await (const event of stream) { if (event.type === "content_block_delta" && event.delta.type === "text_delta") { onChunk(event.delta.text); fullText += event.delta.text; } } return fullText; } const response = await streamResponse( [{ role: "user", con
- API Client Pattern
- Streaming Responses
- Function Calling (Tool Use)
- RAG Pipeline
- Document Chunking
- Cost Optimization
- Anti-Patterns
- Checklist
What does the llm-integration skill do?
LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization
How do I install it?
Run `npx skills add rohitg00/awesome-claude-code-toolkit --skill llm-integration --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 rohitg00/awesome-claude-code-toolkit, a repository with 2,438 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.