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Testing48k · #4325

tdd

Helps your agent develop features or fix bugs using the 'red-green-refactor' method. It's useful for integration tests.

What it does

This tool helps you build code more reliably. It focuses on writing tests before the actual code, ensuring everything works as expected.

When to use it

  • ✓When you want to be sure a new feature works correctly.
  • ✓When you need to fix a bug and want to ensure it doesn't return.
  • ✓When you hear about 'red-green-refactor' and want to understand it.

Example of what to ask your AI

“Write a test for the login functionality, then create the code to make it pass.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/tdd/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/tdd/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

First, you write a test that describes what the code should do. This test will fail because the code doesn't exist yet. Then, you write the minimum code needed to make the test pass. Finally, you can improve the code without breaking the tests.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill tdd

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/tdd/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Test-Driven Development

When to Use

Use when this workflow matches the user request: Use this skill for its documented workflow.

Source: mattpocock/skills (MIT).

Philosophy

Core principle: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.

Good tests are integration-style: they exercise real code paths through public APIs. They describe what the system does, not how it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.

Bad tests are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.

See tests.md for examples and mocking.md for mocking guidelines.

Anti-Pattern: Horizontal Slices

DO NOT write all tests first, then all implementation. This is "horizontal slicing" - treating RED as "write all tests" and GREEN as "write all code."

This produces crap tests:

  • Tests written in bulk test imagined behavior, not actual behavior
  • You end up testing the shape of things (data structures, function signatures) rather than user-facing behavior
  • Tests become insensitive to real changes - they pass when behavior breaks, fail when behavior is fine
  • You outrun your headlights, committing to test structure before understanding the implementation

Correct approach: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it.

WRONG (horizontal):
  RED:   test1, test2, test3, test4, test5
  GREEN: impl1, impl2, impl3, impl4, impl5

RIGHT (vertical):
  RED→GREEN: test1→impl1
  RED→GREEN: test2→impl2
  RED→GREEN: test3→impl3
  ...

Workflow

1. Planning

When exploring the codebase, read CONTEXT.md (if it exists) so that test names and interface vocabulary match the project's domain language, and respect ADRs in the area you're touching.

Before writing any code:

  • Confirm with user what interface changes are needed
  • Confirm with user which behaviors to test (prioritize)
  • Identify opportunities for deep modules (small interface, deep implementation) — run the /codebase-design skill for the vocabulary and the testability checks
  • List the behaviors to test (not implementation steps)
  • Get user approval on the plan

Ask: "What should the public interface look like? Which behaviors are most important to test?"

You can't test everything. Confirm with the user exactly which behaviors matter most. Focus testing effort on critical paths and complex logic, not every possible edge case.

2. Tracer Bullet

Write ONE test that confirms ONE thing about the system:

RED:   Write test for first behavior → test fails
GREEN: Write minimal code to pass → test passes

This is your tracer bullet - proves the path works end-to-end.

3. Incremental Loop

For each remaining behavior:

RED:   Write next test → fails
GREEN: Minimal code to pass → passes

Rules:

  • One test at a time
  • Only enough code to pass current test
  • Don't anticipate future tests
  • Keep tests focused on observable behavior

4. Refactor

After all tests pass, look for refactor candidates:

  • Extract duplication
  • Deepen modules (move complexity behind simple interfaces)
  • Apply SOLID principles where natural
  • Consider what new code reveals about existing code
  • Run tests after each refactor step

Never refactor while RED. Get to GREEN first.

Checklist Per Cycle

[ ] Test describes behavior, not implementation
[ ] Test uses public interface only
[ ] Test would survive internal refactor
[ ] Code is minimal for this test
[ ] No speculative features added

Limitations

  • Requires the upstream tool, account, API key, or local setup when the workflow names one.

…

FAQ

What is 'red-green-refactor'?

It's a cycle: 'Red' means the test fails. 'Green' means the test passes. 'Refactor' means improving the code without changing what it does.

Why write tests first?

It ensures you're building what the user actually needs and that the code behaves as expected, making it easier to make changes in the future.

Can I write all tests at once?

It's not recommended. The ideal approach is to write one test, then the code to make it pass, and repeat. This ensures you're testing actual behavior, not just the code's structure.

Details

Original description by the author

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4325
License
MIT
Updated
10/15/2026

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