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Test Driven Development

Listed
davila7·vlatest·testing·MIT

Generates comprehensive test suites and code based on provided requirements using test-driven development principles.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill test-driven-development -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

What it does

This skill enables AI agents to generate code using a strict test-driven development (TDD) workflow. It ensures that unit tests are written and executed before any production logic is implemented, guaranteeing immediate validation of functionality.

When to use it

  • You need to build reliable microservices where failing fast on incorrect logic is critical.
  • You want to enforce a clean architecture by requiring test coverage prior to feature implementation.
  • You are refactoring existing codebases and need automated safety nets before making changes.
  • You require a standardized development cycle that minimizes regression bugs during sprints.

Key capabilities

  • Automatically generates unit tests before writing the corresponding application code.
  • Executes test suites immediately after code generation to verify success or failure.
  • Iteratively refines implementation details based on passing or failing test results.
  • Maintains a high standard of code quality through continuous verification loops.

Example prompts

  • "Create a Python function to validate email addresses using TDD principles."
  • "Write a Rust module for parsing JSON logs, ensuring all edge cases are tested first."
  • "Develop a Node.js API endpoint for user authentication following the test-driven approach."

Tips & gotchas

  • Ensure your AI agent has access to a terminal or code execution environment to run the generated tests.
  • This workflow may increase initial generation time as the agent must write and verify tests before completing the feature.