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SkillsMP has collected 17 skills from openai/openai-agents-js. Open a skill to review its source and details.
Showing 17 of 17 collected skills.
Perform the repository's risk-tiered independent final review before implementation completion. Use only when explicitly invoked or when repository instructions require it after behavior-impacting implementation work; audit the complete task diff, supported…
Assess an openai-agents-js GitHub issue or pull request as a maintainer. Use to verify the claimed need and practical impact, compare supported alternatives or competing approaches, separate code quality from repository readiness, recommend the maintainer…
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose high-impact tests, and confirm with the user before writing tests.
Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/.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…
Start and carry an explicitly invoked openai-agents-js 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…
Choose compatibility-aware scope for runtime and API changes in openai-agents-js. Use before initial implementation and each review-feedback batch to decide whether to patch, reset the design, preserve compatibility, or reject unsupported cases.
Plan and, after explicit approval, execute runtime-behavior probes for local or live integrations. Use only when explicitly invoked to verify behavior that code review and normal tests cannot settle; define a controlled validation matrix, keep disposable JS…
Analyze the latest completed repository example run from its existing logs and source files. This skill is strictly read-only and never starts, reruns, stops, retries, escalates, or owns workflow processes.
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents JS monorepo.
Perform pre-release planning or a final release-candidate review for openai-agents-js by comparing the target with the previous remote tag, deriving the release type from Changesets, auditing regressions and contract changes, reviewing open documentation PR…
Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-js. Must be used before the final response whenever the actual task diff includes runtime code, tests, examples, build/test configuration, or docs…
Audit and fix model or tool input/output exposure through runtime logging in openai-agents-js. Use when reviewing logger or console calls, checking OPENAI_AGENTS_DONT_LOG_MODEL_DATA or OPENAI_AGENTS_DONT_LOG_TOOL_DATA coverage, investigating exceptions or…
Keep pnpm current: preflight the published package and pnpm/action-setup self-installer, update pnpm locally, align packageManager in package.json, and refresh CI pins. Use this when refreshing the pnpm toolchain manually or in automation.
Use when fixing invoice total calculations in the sandbox quickstart repository.
Validate changesets in openai-agents-js using LLM judgment against git diffs (including uncommitted local changes). Use when packages/ or .changeset/ are modified, or when verifying PR changeset compliance and bump level.
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…
Analyze CSV files in /mnt/data and return concise numeric summaries.