openai/openai-agents-python.
18 skills★ 30,483View on GitHub ↗
- 100/100
code-change-verification
Run the required final formatting, lint, type, and test checks after eligible SDK changes pass review.
- 100/100
credit-note-fixer
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
- 100/100
csv-workbench
Analyze CSV files in /mnt/data and return concise numeric summaries.
- 100/100
docs-sync
Audit or update English SDK documentation against the requested implementation scope.
- 100/100
examples-run-analysis
Analyze logs and source from a completed manual examples run. Never execute or control examples.
- 100/100
final-release-review
Assess a Python SDK release candidate or release plan against the previous release and recommend ship or block.
- 100/100
implementation-final-review
Review completed implementation changes before final verification. Use when repository policy requires independent review or the user explicitly requests it.
- 100/100
implementation-kickoff
Carry implementation through an isolated worktree and local handoff. Use only when this skill is explicitly invoked.
- 100/100
implementation-strategy
Choose supported scope and compatibility boundaries for SDK behavior changes; revisit when feedback changes the design.
- 100/100
maintainer-review
Assess a GitHub issue or PR for demonstrated need, supported alternatives, correctness, and maintainer action. Desk review only.
- 100/100
openai-knowledge
Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
- 100/100
playwright
Use when the task requires capturing or automating a real browser from the terminal.
- 100/100
pr-draft-summary
Prepare the required local PR title, description, and branch suggestion after eligible implementation work is complete.
- 100/100
prior-auth-packet-builder
Build a concise prior authorization packet from local case files and payer policy docs.
- 100/100
release-candidate-prep
Prepare a local Python SDK release candidate in a dedicated worktree. Use only when explicitly invoked with a version.
- 100/100
runtime-behavior-probe
Plan controlled runtime probes when explicitly invoked; execute only after the required probe approval.
- 100/100
sensitive-logging-audit
Audit or fix sensitive-data exposure in Python SDK diagnostics, exceptions, logging, and telemetry.
- 100/100
test-coverage-improver
Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.