tdd-rust

Implement TDD workflows for Rust filters with `insta` snapshot testing.

75.3k|4.7k|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/rtk-ai/rtk --skill tdd-rust
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Skill: tdd-rust
Source: https://github.com/rtk-ai/rtk/tree/main/.claude/skills/tdd-rust
Command: npx skills add https://github.com/rtk-ai/rtk --skill tdd-rust

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enforces a rigorous Test-Driven Development (TDD) workflow for Rust filter development, ensuring code quality, maintainability, and significant token savings.

Core Features & Use Cases

  • Red-Green-Refactor Loop: Guides developers through the TDD cycle.
  • Real Fixtures: Emphasizes using actual command output for tests, not synthetic data.
  • Token Savings Assertions: Automatically verifies that filters achieve at least 60% token reduction.
  • Snapshot Testing: Integrates insta for robust output format verification.
  • Quality Gates: Ensures code is formatted, linted, and fully tested before integration.

Quick Start

Follow the Red-Green-Refactor loop to implement a new filter for Rust command outputs.

Frequently Asked Questions about tdd-rust

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement test-driven development for Rust command-line filters?

Test-driven development for Rust filters is implemented by enforcing a strict Red-Green-Refactor cycle using real command-line fixtures, snapshot testing with insta, and automated token savings assertions to ensure code quality and maintainability.

How does snapshot testing with insta work for Rust CLI output verification?

Snapshot testing with insta verifies Rust CLI output formats by capturing real command output as fixtures. It ensures that filters correctly process this output and maintain consistent formatting throughout the refactoring phase of the TDD workflow.

Can I automate token reduction assertions when refactoring Rust filters?

Yes, you can automate token reduction assertions during Rust filter refactoring. The workflow automatically verifies that newly integrated filters achieve a minimum 60% token reduction, ensuring efficient output processing without manual calculation.

What is the best way to integrate new Rust filters into an existing application?

The best way to integrate new Rust filters is through a TDD workflow that acts as a quality gate. It ensures the code is formatted, linted, fully tested with real fixtures, and meets token savings requirements before final integration.

Why should I use real command output instead of synthetic data for Rust testing?

Using real command output instead of synthetic data for Rust testing ensures that filters are validated against actual application behavior. This approach prevents false positives and guarantees the filter's effectiveness in real-world scenarios.

Do I need Rust formatting and linting tools to pass the workflow quality gates?

Yes, Rust formatting and linting are required to pass the workflow quality gates. The process ensures code quality by enforcing formatting and linting checks before allowing new filters to integrate into the main application.