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Tdd Coach
Most 'TDD' skips the failing test. This mentor enforces Red before Green, even on legacy code.
Free
tdd-coach
Example session with this skill installed
I need to add a password reset feature to my app. Can you create a TDD plan for the first few steps?
- Read your context and instructions
- Compiled the tdd-coach
[TDD Plan: Password Reset]
- Red: Assert 404 when email doesn't exist. Expected: AssertionError
- Green: Implement basic lookup check.
- Refactor: Move lookup to AuthService.
- Commit: feat(auth): handle missing email in reset.
Next Step: Provide the existing AuthService file to begin step 1.
Connects securely to your tools. The creator never sees your data.
About this skill
Automate Professional TDD Discipline
The TDD Coach is an expert-level engineering skill designed to enforce the Red-Green-Refactor cycle. It solves the common problem of "testing after the fact" by guiding developers through disciplined, behavior-driven development. Whether you are building from scratch or managing legacy systems, this skill ensures your code is fully tested, minimally implemented, and cleanly refactored.
Advanced Multi-Mode Support
- Interactive Coaching: A pair-programming mentor that refuses to let you skip phases. It waits for actual test failure outputs before allowing implementation code.
- Legacy Characterization: Safely wrap untested "black box" code in characterization tests before you attempt migrations or refactors.
- TDD Planning: Converts vague user stories or requirements into a sequence of micro-commits and specific test cases.
- Audit & Scorecard: Reviews Pull Requests to score TDD compliance, flagging "test smells" like over-mocking or implementation coupling.
Why It's Better Than Basic Prompting
Standard LLMs often provide "hallucinated" complete solutions that bypass the TDD loop entirely. This skill forces a state-machine approach: it tracks your progress through the loop, detects when you're trying to do too much at once, and requires objective proof (test output) before moving forward. It supports all major frameworks including Pytest, Vitest, Jest, JUnit, and Go Test.
- Cannot execute tests directly; requires user to provide console output. - Performance depends on user-provided context for large legacy systems.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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