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openai-agents-python

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Token-efficient OpenAI Agents SDK docs

Software Engineering#documentation#python#sdk#agents#token savings#openai
AuthorZaibunis
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a token-efficient way to fetch documentation for the OpenAI Agents Python SDK, significantly reducing token usage compared to direct MCP tool calls.

Core Features & Use Cases

  • Token Savings: Achieves ~77% token savings by filtering documentation output.
  • Optimized Fetching: Uses a custom script to pre-configure library IDs and filter results.
  • Use Case: When a user asks "How do I create an agent with custom tools?", this skill fetches only the relevant code examples and API signatures, avoiding unnecessary LLM processing.

Quick Start

Use the openai-agents-python skill to fetch documentation on agent handoffs.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: openai-agents-python
Download link: https://github.com/Zaibunis/spec-driven-hackathons/archive/main.zip#openai-agents-python

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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