This skill deploys frontend and full-stack projects to EdgeOne Makers (Tencent EdgeOne). Trigger this skill whenever deployment is part of the task — whether as the primary intent or a secondary step. Examples: "deploy my app", "publish this site", "push this live", "create a preview deployment", "deploy to EdgeOne", "ship to production", "go live", "release", "publish a new version", "redeploy", "上线", "发布", "发一版", "重新部署", "搭建并部署", "开发并上线", "build and deploy", "create and deploy". ⚠️ Also trigger when any agent is about to execute `edgeone makers deploy` or `edgeone makers deploy` commands — the skill contains critical rules for parsing deploy output and presenting access URLs. Do NOT trigger for post-deployment runtime errors (e.g. CORS issues, 500 errors after deploy — use edgeone-makers-dev for troubleshooting).

EdgeOne Makers Cloud Functions — Node.js, Go, and Python runtimes. Use when building server-side APIs, Express/Koa patterns, or backend logic.

EdgeOne Makers CLI command reference. Use when running edgeone CLI commands for dev, build, deploy, env management.

This skill guides building AI agent endpoints on EdgeOne Makers — five framework routes (DeepAgents, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK), platform-injected `context.store` / `context.tools` / `context.sandbox`, conversation_id dual-channel routing, SSE streaming, and `agents/` vs `cloud-functions/` separation. It should be used when the user wants to create or review an AI agent endpoint on EdgeOne Makers — e.g. "build an agent on EdgeOne Makers", "create a Claude agent endpoint", "wire LangGraph into Makers", "stream LLM responses with SSE", "review my agent template", "use context.store / context.sandbox / context.tools". Do NOT trigger for plain Edge Functions, Cloud Functions, or middleware (those don't run AI logic — use edgeone-pages-dev instead). Do NOT trigger for deployment workflows (use edgeone-pages-deploy). Do NOT trigger for generic AI framework development outside an EdgeOne Makers project.

Create a GitHub pull request from current working changes. Handles all git states - uncommitted changes, no branch, unpushed commits, etc. Analyzes diffs and changesets to generate a PR with filled-in template. Opens the PR in the browser when done. Use when the user asks to create a PR, open a PR, submit changes, or push for review.

Migrate @data-client/rest path strings from path-to-regexp v6 to v8 syntax. Use when upgrading path-to-regexp, updating RestEndpoint.path or resource path strings, or when seeing errors about unexpected ?, +, (, or ) in paths.

Write, update, and format documentation for @data-client public APIs - API reference (Docusaurus/MDX), README files, JSDoc/TSDoc docstrings, usage examples, migration guides, deprecation notices, changelog entries. Use when changing exported APIs (docs must update in the same PR), writing new package docs, or updating the dataclient.io site.

Setup, install, and onboard new developers to Reactive Data Client monorepo - nvm, yarn, build, test, getting started guide

Test @data-client/vue composables and components - renderDataCompose, mountDataClient, fixtures, jest, nock HTTP mocking, polling/subscription tests with fake timers, useSuspense, useLive, useSubscription, Vue 3 reactive props. Use when writing or debugging tests for composables or components built on @data-client/vue.

Install and set up @data-client/react or @data-client/vue in a project. Detects project type (NextJS, Expo, React Native, Vue, plain React) and protocol (REST, GraphQL, custom), then hands off to protocol-specific setup skills.

Define REST APIs with @data-client/rest - resource(), RestEndpoint, CRUD (GET/POST/PUT/PATCH/DELETE), HTTP fetch, normalize, cache, urlPrefix, path-to-regexp parameters, searchParams, pagination, extend(), auth/headers, optimistic updates, polling, file download, blob, parseResponse. Use when defining or modifying network endpoints, REST resources, or the HTTP layer.

Set up and migrate to @data-client/rest for REST APIs. Detects existing HTTP patterns (axios, fetch, ky, superagent, got) and migrates them. Creates custom RestEndpoint base class with common behaviors. Use when adopting @data-client/rest in a new or existing project.

Use @data-client/react hooks for data fetching, mutations, and rendering - useSuspense, useFetch, useQuery, useCache, useLive, useDLE, useSubscription, useController, DataProvider, AsyncBoundary, useLoading, useDebounce. Use when reading/rendering remote data, triggering mutations, doing optimistic updates, real-time subscriptions, or wiring Suspense/error boundaries in React.

Test @data-client/react with renderDataHook and mountDataClient - jest unit tests, fixtures, interceptors, MockResolver, mock responses, nock HTTP mocking, fake timers for polling/subscription tests, DataProvider test setup, hook and component testing. Use when writing or debugging tests for hooks, components, or resources built on @data-client/react.

Implement @data-client Managers for global/background side effects - websocket, SSE, polling, real-time updates, subscriptions, logging, analytics, metrics/timing, error reporting (Sentry), toast notifications, refetch on window focus or network reconnect, cross-tab sync (BroadcastChannel), offline persistence (localStorage/IndexedDB), auth logout on 401, middleware, intercepting Controller actions, DataProvider managers prop, redux-style action handling. Use when adding cross-cutting store behavior, reacting to dispatched actions, or handling external event streams.

Set up @data-client/graphql for GraphQL APIs. Configures GQLEndpoint with auth and custom options. Use after data-client-setup detects GraphQL patterns.

Set up @data-client/endpoint for custom async operations. Wraps existing async functions with Endpoint for use with Data Client hooks. Use after data-client-setup detects non-REST/GraphQL async patterns.

Create user-focused changesets (changelog entries) for semver bumps, release notes, breaking changes, and docs; prefer impact and code examples over implementation detail

Cost-and-speed-optimized development workflow for a cheap fast implementing model consulting expensive advisor subagents (design-advisor, principal-advisor, quality-reviewer). Use for design-bearing or high-risk implementation - new/changed public contracts, schemas, state/lifecycle, concurrency, security, persistence, compatibility - or after repeated failed attempts. Do not invoke for trivial edits or solely because a change touches multiple files.

1950s-1990s nostalgia with skeuomorphic touches, grainy textures, retro color palettes, and pixel-style typography.