Agent skill · Documentation

71-agent-framework-integration

Create your agent-integration skill from OpenAI SDK and LiteLLM documentation before learning framework integration

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill 71-agent-framework-integration --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/agent/71-agent-framework-integration/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Build Your Agent Integration Skill Your Task API model is deployed and running via Ollama. Now you need to connect it to agent frameworks like OpenAI Agents SDK, Claude Code, and MCP servers. Before learning integration patterns, you will **own** an agent-integration skill. This skill becomes your reusable reference for connecting custom models to any framework. This lesson follows the **Skill-First Learning Pattern**: build the skill, then learn what it knows. ## Why Skill-First for Agent Integration? Agent framework integration involves multiple interconnected patterns: | Pattern | What It Handles | |---------|-----------------| | **LiteLLM Proxy** | Unified OpenAI-compatible API for any backend | | **Base URL Config** | Redirect SDK calls to custom endpoints | | **Tool Calling** | Structured outputs for function invocation | | **Error Fallback** | Graceful degradation to foundation models | | **MCP Integration** | Model Context Protocol server setup | Learning these patterns without a reference leads to trial-and-error debugging. Your skill captures verified patterns from official documentation, giving you a reliable starting point. ## Step 1: Get the Skills Lab If you complet

What's inside
Steps it walks through
  1. Why Skill-First for Agent Integration?
  2. Step 1: Get the Skills Lab
  3. Step 2: Create Your Agent Integration Skill
  4. Step 3: Verify Your Skill
  5. What Your Skill Contains
  6. LiteLLM Proxy Setup
  7. OpenAI SDK Configuration
  8. Tool Calling Schema
  9. Error Fallback Pattern
  10. Done
  11. Try With AI
  12. Prompt 1: Examine Your Skill
  13. Prompt 2: Compare to Your Setup
  14. Prompt 3: Identify Learning Path
Ships with 1 file
  • metadata.json
Commands it runs
cd claude-code-skills-lab
claude
ls .claude/skills/agent-integration/
More from claude-skill-registry
All skills →
About this skill
What does the 71-agent-framework-integration skill do?

Create your agent-integration skill from OpenAI SDK and LiteLLM documentation before learning framework integration

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill 71-agent-framework-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 majiayu000/claude-skill-registry, a repository with 534 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.

Keep going