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/test-driven-development

Use when implementing any feature or bugfix, before writing implementation

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kheish
22178 skills
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$ npx -y skills add graniet/kheish --skill test-driven-development --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/test-driven-development

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The summary Claude sees to decide when to auto-load this skill.

Use when implementing any feature or bugfix, before writing implementation

SKILL.md

test-driven-development.SKILL.md
description: Use when implementing any feature or bugfix, before writing implementation
  code. Enforces RED-GREEN-REFACTOR cycle with test-first approach.
version: 1.1.0
license: MIT
metadata:
  catalog:
    tags:
    - testing
    - tdd
    - development
    - quality
    - red-green-refactor
    related_skills:
    - systematic-debugging
    - writing-plans
    - subagent-driven-development

Kheish Compatibility

This skill is repo-local and stays inactive until explicitly activated.

When the original instructions refer to legacy tool names, use these Kheish mappings:

  • `terminal` => `bash`
  • `web_extract` => `web_fetch`, plus `web_search` when discovery is needed
  • `search_files` => `grep_search` and `glob_search`
  • `browser_*` tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitly

When the instructions mention local helper files, resolve them from `${KHEISH_SKILL_DIR}`.

Test-Driven Development (TDD)

Overview

Write the test first. Watch it fail. Write minimal code to pass.

**Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing.

**Violating the letter of the rules is violating the spirit of the rules.**

When to Use

**Always:**

  • New features
  • Bug fixes
  • Refactoring
  • Behavior changes

**Exceptions (ask the user first):**

  • Throwaway prototypes
  • Generated code
  • Configuration files

Thinking "skip TDD just this once"? Stop. That's rationalization.

The Iron Law

NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST

Write code before the test? Delete it. Start over.

**No exceptions:**

  • Don't keep it as "reference"
  • Don't "adapt" it while writing tests
  • Don't look at it
  • Delete means delete

Implement fresh from tests. Period.

Red-Green-Refactor Cycle

RED — Write Failing Test

Write one minimal test showing what should happen.

**Good test:**

def test_retries_failed_operations_3_times():
    attempts = 0
    def operation():
        nonlocal attempts
        attempts += 1
        if attempts < 3:
            raise Exception('fail')
        return 'success'

    result = retry_operation(operation)

    assert result == 'success'
    assert attempts == 3

Clear name, tests real behavior, one thing.

**Bad test:**

def test_retry_works():
    mock = MagicMock()
    mock.side_effect = [Exception(), Exception(), 'success']
    result = retry_operation(mock)
    assert result == 'success'  # What about retry count? Timing?

Vague name, tests mock not real code.

**Requirements:**

  • One behavior per test
  • Clear descriptive name ("and" in name? Split it)
  • Real code, not mocks (unless truly unavoidable)
  • Name describes behavior, not implementation

Verify RED — Watch It Fail

**MANDATORY. Never skip.**

# Use terminal tool to run the specific test
pytest tests/test_feature.py::test_specific_behavior -v

Confirm:

  • Test fails (not errors from typos)
  • Failure message is expected
  • Fails because the feature is missing

**Test passes immediately?** You're testing existing behavior. Fix the test.

**Test errors?** Fix the error, re-run until it fails correctly.

GREEN — Minimal Code

Write the simplest code to pass the test. Nothing more.

**Good:**

def add(a, b):
    return a + b  # Nothing extra

**Bad:**

def add(a, b):
    result = a + b
    logging.info(f"Adding {a} + {b} = {result}")  # Extra!
    return result

Don't add features, refactor other code, or "improve" beyond the test.

**Cheating is OK in GREEN:**

  • Hardcode return values
  • Copy-paste
  • Duplicate code
  • Skip edge cases

We'll fix it in REFACTOR.

Verify GREEN — Watch It Pass

**MANDATORY.**

# Run the specific test
pytest tests/test_feature.py::test_specific_behavior -v

# Then run ALL tests to check for regressions
pytest tests/ -q

Confirm:

  • Test passes
  • Other tests still pass
  • Output pristine (no errors, warnings)

**Test fails?** Fix the code, not the test.

**Other tests fail?** Fix regressions now.

REFACTOR — Clean Up

After green only:

  • Remove duplication
  • Improve names
  • Extract helpers
  • Simplify expressions

Keep tests green throughout. Don't add behavior.

**If tests fail during refactor:** Undo immediately. Take smaller steps.

Repeat

Next failing test for next behavior. One cycle at a time.

Why Order Matters

**"I'll write tests after to verify it works"**

Tests written after code pass immediately. Passing immediately proves nothing:

  • Might test the wrong thing
  • Might test implementation, not behavior
  • Might miss edge cases you forgot
  • You never saw it catch the bug

Test-first forces you to see the test fail, proving it actually tests something.

**"I already manually tested all the edge cases"**

Manual testing is ad-hoc. You think you tested everything but:

  • No record of what you tested
  • Can't re-run when code changes
  • Easy to forget cases under pressure
  • "It worked when I tried it" ≠ comprehensive

Automated tests are systematic. They run the same way every time.

**"Deleting X hours of work is wasteful"**

Sunk cost fallacy. The time is already gone. Your choice now:

  • Delete and rewrite with TDD (high confidence)
  • Keep it and add tests after (low confidence, likely bugs)

The "waste" is keeping code you can't trust.

**"TDD is dogmatic, being pragmatic means adapting"**

TDD IS pragmatic:

  • Finds bugs before commit (faster than debugging after)
  • Prevents regressions (tests catch breaks immediately)
  • Documents behavior (tests show how to use code)
  • Enables refactoring (change freely, tests catch breaks)

"Pragmatic" shortcuts = debugging in production = slower.

**"Tests after achieve the same goals — it's spirit not ritual"**

No. Tests-after answer "What does this do?" Tests-first answer "What should this do?"

Tests-after are biased by your implementation. You test what you built, not what's required. Tests-first force e

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