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openai/openai-agents-python

A lightweight, powerful framework for multi-agent workflows

7 skills

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examples-auto-run

openai/openai-agents-python

This skill runs Python examples in auto mode with logging, rerun support, and background control to streamline multi-agent experiments.

openai-knowledge

openai/openai-agents-python

This skill helps you access authoritative OpenAI API documentation via the MCP server, ensuring accurate guidance from the latest developer docs.

test-coverage-improver

openai/openai-agents-python

This skill analyzes test coverage results, identifies gaps, proposes high-impact tests, and coordinates approval before implementation.

openai/openai-agents-python

This skill audits docs coverage against main branch features and configuration, suggests updates, and reports changes before approving edits.

final-release-review

openai/openai-agents-python

This skill performs a release-readiness review by locating the previous remote tag and auditing the BASE_TAG...TARGET diff for risks, regressions, and

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code-change-verification

openai/openai-agents-python

This skill runs the full code-change verification stack to ensure formatting, linting, typing, and tests pass after code changes.

pr-draft-summary

openai/openai-agents-python

This skill generates a PR title and draft description after substantive code changes, streamlining PR readiness and collaboration.