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openai/openai-agents-python

16 skills

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$npx skills add openai/openai-agents-python
SkillInstalls
code-change-verificationRun the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.—credit-note-fixerFix the tiny credit-note formatting bug and rerun the exact targeted test command.—csv-workbenchAnalyze CSV files in /mnt/data and return concise numeric summaries.—docs-syncAnalyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/.—examples-auto-runRun python examples in auto mode with logging, rerun helpers, and background control.—final-release-reviewPerform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes,…—implementation-strategyChoose compatibility-aware scope for runtime and API changes in openai-agents-python.—integration-testsRun the packaged OpenAI Agents Python SDK integration tests from clean wheel and source-distribution environments.—maintainer-reviewReview a GitHub issue or pull request URL as an openai-agents-python maintainer, with a staged assessment of whether the claim is real, practically important,…—openai-knowledgeUse when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need…—playwrightUse when the task requires capturing or automating a real browser from the terminal.—pr-draft-summaryCreate the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-python.—prior-auth-packet-builderBuild a concise prior authorization packet from local case files and payer policy docs.—runtime-behavior-probePlan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports.—sensitive-logging-auditAudit and fix sensitive-data exposure through Python runtime logging in openai-agents-python.—test-coverage-improverImprove test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact…—