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
Ready-to-paste message
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 tddOr 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.mdTechnical 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-designskill 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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4325
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
cpp-testing
Makes your agent write and improve tests for C++ code. It helps set up testing tools and fix errors.
affaan-m/ECC
csharp-testing
Helps your agent create tests for C# and .NET code. It uses best practices to ensure tests are efficient and reliable.
affaan-m/ECC
django-tdd
Enables your agent to apply testing strategies for Django with pytest-django and TDD. It's useful for writing robust tests and ensuring code quality, especially for DRF APIs.
affaan-m/ECC