Run the required final formatting, lint, type, and test checks after eligible SDK changes pass review.
openai/openai-agents-python
SkillsMP has collected 18 skills from openai/openai-agents-python. Open a skill to review its source and details.
- Latest recorded source activity
- SkillsMP catalog refreshed
- skills collected
- 18
- GitHub stars
- 29,727
- GitHub forks
- 4,814
Install with an AI assistant
Copy this prompt into the AI assistant you're using.
Help me install Agent Skills from this repository: https://github.com/openai/openai-agents-python
First review the source, SKILL.md files, and companion files. List the available Skills so I can choose. Then install the complete directories for my chosen Skills into the current project and confirm the required files are present.Skills in this repository
Showing 18 of 18 collected skills.
Assess a Python SDK release candidate or release plan against the previous release and recommend ship or block.
Assess a GitHub issue or PR for demonstrated need, supported alternatives, correctness, and maintainer action. Desk review only.
Review completed implementation changes before final verification. Use when repository policy requires independent review or the user explicitly requests it.
Audit or update English SDK documentation against the requested implementation scope.
Analyze logs and source from a completed manual examples run. Never execute or control examples.
Carry implementation through an isolated worktree and local handoff. Use only when this skill is explicitly invoked.
Choose supported scope and compatibility boundaries for SDK behavior changes; revisit when feedback changes the design.
Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
Prepare the required local PR title, description, and branch suggestion after eligible implementation work is complete.
Prepare a local Python SDK release candidate in a dedicated worktree. Use only when explicitly invoked with a version.
Plan controlled runtime probes when explicitly invoked; execute only after the required probe approval.
Audit or fix sensitive-data exposure in Python SDK diagnostics, exceptions, logging, and telemetry.
Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.
Build a concise prior authorization packet from local case files and payer policy docs.
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
Use when the task requires capturing or automating a real browser from the terminal.
Analyze CSV files in /mnt/data and return concise numeric summaries.