Uses the ctx7 CLI to fetch library documentation, manage AI coding skills and configure Context7 MCP.
Category · 357 skills
Development skills
The skills in the directory filed under Development, in the editor's order.
Development skills
Fetches current library and framework documentation and code examples through the Context7 MCP server.
Retrieves up-to-date documentation, API references and code examples for any library, framework or SDK.
Explores and tests a web application systematically to find bugs and UX issues.
Accesses and tests Vercel deployments that sit behind Vercel Authentication, SSO or Deployment Protection.
React composition patterns such as compound components, for refactoring components with too many boolean props.
Deploys applications and websites to Vercel, including preview deployments.
React and Next.js performance guidelines from Vercel Engineering, for writing and reviewing code.
React Native and Expo practices for performant mobile apps: lists, animations and native modules.
Guides implementing animations with React's View Transition API.
Deploys and manages Vercel projects with token-based authentication instead of interactive login.
Finds cost and performance improvements for deployed Vercel projects from metrics, usage and code scans.
Builds, reviews and refactors ASP.NET Core web apps: Blazor, Razor Pages, MVC, Minimal APIs and SignalR.
Builds and troubleshoots ChatGPT Apps SDK applications that combine an MCP server with a widget UI.
Builds a composable command-line tool from API docs, an OpenAPI spec, curl examples or a local script.
Deploys applications and infrastructure to Cloudflare with Workers, Pages and related services.
Addresses review and issue comments on the open GitHub pull request for the current branch with the gh CLI.
Debugs failing GitHub Actions checks on a pull request: inspects logs, summarises the failure and drafts a fix plan.
Migrates instruction files, skills, agents and MCP config from other agents into Codex.
Deploys web projects to Netlify with the Netlify CLI, including preview and production deploys.
Looks up current official OpenAI documentation with citations, and helps choose a model for a use case.
Keeps a persistent browser or Electron session open for fast, iterative UI debugging.
Deploys applications to Render by analysing the codebase and generating a render.yaml Blueprint.
Reviews code against security best practices for its language and framework, and suggests improvements.