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Skills/Frontend Development
langgenius avatar

Frontend Testing

langgenius/difyOfficial

This generates Vitest and React Testing Library tests for Dify's frontend codebase, following their conventions around file placement, mocking patterns, and integration-first testing. It's built from their internal test.md docs, so it knows to put tests in sibling __tests__ directories, use real project components instead of mocking everything, and handle nuqs query state testing with the right adapters. The workflow is deliberately incremental: one file at a time, run it, fix it, then move on. Useful when you're adding coverage to a feature directory or need tests that match existing patterns. It won't help with E2E or Python tests, just the web layer unit and integration work.

installs
3.8K
GitHub stars
159.6K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add langgenius/dify --skill frontend-testing --agent claude-code

Installs into .claude/skills of the current project.

Files

Frontend Testing

Read the testing policy for the package that owns the changed tests:

  • web/: web/docs/test.md owns Web test boundaries, environments, and commands.
  • packages/dify-ui/: packages/dify-ui/docs/testing.md owns primitive test boundaries, environments, Storybook, and commands.

This skill adds no parallel policy or check sequence. Follow the selected owner's requirements, including its validation commands. Recommend deleting low-value tests as readily as adding missing behavior coverage, and report the contract verified and any material verification gap.

SKILL.md on GitHub

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/langgenius/dify
Categories
Frontend Development, Testing & QA, Git & Pull Requests, Documentation, Code Review & Quality, Python

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