agentleFS
ever-coever-co/ever-works/.agents/skills/vitest/SKILL.md

vitest

Skill190 starsChanged 10 days agoAGPL-3.0View on GitHub

Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.

44 other projects use a version of this, 33 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use nitro, react-hook-form and 2 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • SentrySkill

    nitro

    Build and deploy universal JavaScript servers with Nitro v3. Use when working with nitro.config.ts, defineNitroConfig, defineHandler, defineConfig, server.ts entry, filesystem routing, route rules, useStorage, defineCachedHandler, useDatabase, definePlugin, runtime hooks, Vercel/Cloudflare deployment, or migrating from Nitro v2/nitropack.

    Also in 4 projects that use this

  • SupabaseSkill

    react-hook-form

    Correct React Hook Form usage anywhere in the monorepo — data flow, subscriptions,

    Also in 3 projects that use this

  • thongdn-itSkill

    zod

    Zod schema validation best practices for type safety, parsing, and error handling. This skill should be used when defining z.object schemas, using z.string validations, safeParse, or z.infer. This skill does NOT cover React Hook Form integration patterns (use react-hook-form skill) or OpenAPI client generation (use orval skill).

    Also in 4 projects that use this

  • MicrosoftSkill

    typescript

    TypeScript best practices for this monorepo. Use this skill when: (1) writing new TypeScript code, (2) reviewing TypeScript code, (3) working with API responses, fetch calls, or JSON parsing, (4) adding or modifying types and interfaces.

    Also in 5 projects that use this

The file

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.