🤖
AI EngineeringJavaScript

LLM Integration

by rohitg00

LLM Integration is an AI Engineering skill for Claude Code, published by rohitg00 in awesome-claude-code-toolkit.

2.5K stars898 forkson rohitg00/awesome-claude-code-toolkitAdded 2026/08/18+1% in starsRepository updated 2026/05/12
claudeclaude-codeclaudecodeclaudecode-hookspluginsskills
Install in seconds
Install LLM Integration
Copy LLM Integration into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/rohitg00/awesome-claude-code-toolkit/tree/main/skills/llm-integration ~/.claude/skills/llm-integration

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/rohitg00/awesome-claude-code-toolkit.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/llm-integration/SKILL.md in rohitg00/awesome-claude-code-toolkit
Installs to
~/.claude/skills/llm-integration
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What LLM Integration does

LLM Integration provides patterns for calling Claude APIs, streaming responses, tool use, RAG pipelines, and cost optimization. Use it when building production applications that integrate large language models.

LLM Integration is cataloged under AI Engineering on DirSkills. LLM Integration comes from a repository tagged claude, claude-code, claudecode, claudecode-hooks and plugins.

Documentation

README

LLM Integration

API Client Pattern

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLM Integration

  • What else does rohitg00 publish alongside LLM Integration?

    LLM Integration is one of 25 skills that DirSkills catalogs from rohitg00/awesome-claude-code-toolkit, the repository it ships in. Its siblings there include API Design Patterns, AWS Cloud Patterns and Accessibility. Each one is a separate skill with its own page in this directory, installs the same way LLM Integration does, and is maintained by rohitg00 in that same repository. The rest of the collection is listed on the rohitg00/awesome-claude-code-toolkit page.

  • How does LLM Integration compare to other AI Engineering skills?

    LLM Integration ranks #789 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLM Integration against them. Open each page to compare what they document and how they install.

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