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SkillsMP は openai/openai-agents-python から 19 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 19 件中 19 件を表示しています。
Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/. Use when asked to audit doc coverage, sync docs with code, or propose doc updates/structure changes. Only update English docs under docs/**…
原文の言語: 英語
Perform a risk-tiered zero-base final review loop before an implementation is declared complete. Use only when the user explicitly invokes $implementation-final-review or repository instructions authorize automatic invocation after implementation. Audit the…
原文の言語: 英語
Start and carry an explicitly invoked openai-agents-python implementation through a fresh isolated worktree and a local PR-ready handoff. Fetch the latest origin/main, keep task changes uncommitted, replay them onto the latest main before final review, run…
原文の言語: 英語
Preflight and prepare an OpenAI Agents Python release candidate in a dedicated worktree from exact origin/main, gate readiness before branch creation, freeze the released API contract, create or replace the local release branch with one release commit,…
原文の言語: 英語
Perform pre-release planning or a final release-candidate review for openai-agents-python by comparing the target with the previous remote tag, determining the minimum compatible release type, auditing regressions and contract changes, reviewing open…
原文の言語: 英語
Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-python. Use before the final response whenever the current task changed runtime code, tests, examples, build/test configuration, or docs with…
原文の言語: 英語
Run the packaged OpenAI Agents Python SDK integration tests from clean wheel and source-distribution environments. Use for release readiness, live OpenAI regression checks, package import compatibility, optional-extra validation, or when asked to run…
原文の言語: 英語
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
原文の言語: 英語
Choose compatibility-aware scope for runtime and API changes in openai-agents-python. Use before initial implementation and each review-feedback batch to decide whether to patch, reset the design, preserve compatibility, or reject unsupported cases.
原文の言語: 英語
Review 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, already solvable with supported functionality, correctly scoped, better served by another design,…
原文の言語: 英語
Build a concise prior authorization packet from local case files and payer policy docs.
原文の言語: 英語
Audit and fix sensitive-data exposure through Python runtime logging in openai-agents-python. Use when reviewing logging, print, warnings, stderr, traceback, MCP names, model or tool exceptions, redaction flags, or any diagnostic path that may retain user…
原文の言語: 英語
Plan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level…
原文の言語: 英語
Run python examples in auto mode with logging, rerun helpers, and background control.
原文の言語: 英語
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
原文の言語: 英語
Use when the task requires capturing or automating a real browser from the terminal.
原文の言語: 英語
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI…
原文の言語: 英語
Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
原文の言語: 英語
Analyze CSV files in /mnt/data and return concise numeric summaries.
原文の言語: 英語