Summary
A pure London School TDD implementation that enforces mock-first, outside-in development with clear workflow hooks. You write the failing test with mocked dependencies, run it, implement just enough to pass, then refactor. It includes pre and post task hooks for tracking TDD cycles, which is useful if you're trying to maintain discipline around the red-green-refactor loop. The constraint to npm/npx tools means this is JavaScript/TypeScript focused. If you actually practice London School rather than the classical Detroit style, this codifies that approach. The one-assertion-per-test principle and descriptive naming format are opinionated but reasonable guardrails.
Install to Claude Code
npx -y skills add ruvnet/ruflo --skill tdd-workflow --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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