Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents JS monorepo.
npx skills add https://github.com/openai/openai-agents-python --skill code-change-verification
Ensure work is only marked complete after installing dependencies, building, linting, type checking (including generated declarations), and tests pass. Use this skill when changes affect runtime code, tests, or build/test configuration.
./.agents/skills/code-change-verification so it loads automatically for the repository.bash .agents/skills/code-change-verification/scripts/run.sh.powershell -ExecutionPolicy Bypass -File .agents/skills/code-change-verification/scripts/run.ps1.pnpm i --frozen-lockfile, pnpm build, then pnpm -r build-check, pnpm -r -F "@openai/*" dist:check, pnpm lint, pnpm test, and pnpm format:check:changed.node_modules, stop and diagnose the configuration mismatch instead of silently recreating dependencies.pnpm i --frozen-lockfile and pnpm build as barriers, then delegates independent validation steps to concurrently.Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take openai/code-change-verification from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm.
Without those the skill loads but fails at the first command.