apply-tdd-loop-en

name	apply-tdd-loop-en
description	Applies the Test-Driven Development (TDD) cycle as an agentic loop of RED -> GREEN -> REFACTOR iterations until all requirements are covered or all existing code paths are tested. Use when a user or agent wants to write code strictly test-first, add missing tests to existing code, or drive a full TDD session for a module, class, or function. Activate for trigger phrases like: "apply TDD", "write this test-first", "do a TDD loop", "TDD cycle for", "drive TDD on", "red green refactor", or "add tests then implement".
license	CC BY-NC-SA 4.0
compatibility	Requires git. Python/pytest or Java/JUnit 5 recommended for examples.
metadata	{"author":"roebi","spec":"https://agentskills.io/specification","reference":"https://en.wikipedia.org/wiki/Test-driven_development"}

Apply TDD Loop

Drives a strict Test-Driven Development loop — RED → GREEN → REFACTOR — as an agentic cycle. Accepts two entry points: a list of requirements (test-first, greenfield) or existing code that needs test coverage added. The loop runs until all requirements are covered or all code paths are tested.

When to use this skill

• User wants to implement a feature strictly test-first
• User wants to add missing tests to existing code and refactor safely
• An orchestrating skill (e.g. create-tested-algorithms-from-requirements-en) delegates the inner TDD loop to this skill
• Trigger phrases: "apply TDD", "TDD loop", "red green refactor", "write test first", "drive TDD on", "add tests then implement"

---

Entry points

Entry Point A — Requirement-driven (greenfield)

Input:

• A list of requirements (user stories, acceptance criteria, or plain sentences)
• Target language and test framework
• Optional: existing scaffold or module name

Goal: implement each requirement exactly once, test-first.

Entry Point B — Code-driven (coverage-first)

Input:

• Existing source file(s) with little or no tests
• Target language and test framework
• Optional: coverage report or list of untested paths

Goal: write a failing test for each untested path, make it pass, then refactor.

For Entry Point B, start by listing all public methods / branches without tests. Treat each as a mini-requirement and proceed with the standard loop below.

---

The Agentic TDD Loop

LOOP:
  1. RED    — write ONE failing test for the next requirement / untested path
  2. GREEN  — write the minimal code to make ONLY that test pass
  3. REFACTOR — clean up code and tests without breaking anything
  4. CHECK  — are all requirements / paths covered? if YES → EXIT LOOP
              if NO  → next iteration (go to 1)

Loop State

Track the following state across iterations. If the session may span multiple turns, persist this in a Handover-State.md file.

# Handover-State.md — TDD loop state
skill: apply-tdd-loop-en
entry_point: A | B          # which entry point was used
language: <e.g. Python, Java, TypeScript>
test_framework: <e.g. pytest, JUnit 5, Jest>
requirements:               # Entry Point A
  - [ ] req-1: <text>
  - [ ] req-2: <text>
untested_paths:             # Entry Point B
  - [ ] path-1: <method / branch>
  - [ ] path-2: <method / branch>
current_iteration: 1
current_phase: RED | GREEN | REFACTOR
last_test_added: <test name>
last_code_change: <brief description>
last_green_commit: <git SHA of last fully green state>
exit_condition_met: false

Update the state after each phase before proceeding to the next.

---

Phase Instructions

Phase 1 — RED

• Select the next unchecked requirement or untested path.
• Write one test that:
  • Has a clear, descriptive name (test_<what>_<when>_<expected>)
  • Asserts the expected behaviour defined by the requirement
  • Fails when run against current code (no implementation yet)
• Run the test. Confirm it fails for the right reason (missing implementation, not a syntax error or wrong import).
• Do NOT write any production code in this phase.
• Update loop state: current_phase: GREEN

Phase 2 — GREEN

• Write the minimal production code to make the failing test pass.
• Minimal means: no extra logic, no anticipating future requirements.
• Run all tests. Confirm:
  • The new test passes
  • All previously passing tests still pass (no regression)
• If a regression occurs: fix it before moving to REFACTOR.
• Revert rule: if a regression is not obviously fixable within a few minutes, do NOT debug excessively — instead:

  git revert HEAD   # or: git checkout -- .
  

  Reset current_phase: RED, rethink the test or the minimal code, retry.
• Update loop state: current_phase: REFACTOR

Phase 3 — REFACTOR

• Review both the new production code and the new test.
• Apply clean-code improvements: remove duplication, improve naming, extract helpers, simplify logic.
• Run all tests again after each change. Must stay green.
• Guiding principles (keep it simple):
  • DRY — Don't Repeat Yourself
  • SRP — Single Responsibility Principle
  • KISS — Keep It Simple
• Mark the current requirement / path as [x] in loop state.
• Commit now — one small, atomic commit per completed iteration:

  git add -A
  git commit -m "test: add test for <requirement>"   # after RED
  git commit -m "feat: implement <requirement>"       # after GREEN
  git commit -m "refactor: clean <what>"              # after REFACTOR (if changed)
  

  Small commits mean any future failure can be reverted instantly without losing other work.
• Record the new SHA in loop state: last_green_commit: <sha>
• Update loop state: current_phase: RED, increment current_iteration

Exit Condition

After REFACTOR, check:

All items in requirements[] or untested_paths[] are marked [x]?
  YES → set exit_condition_met: true, summarise results, EXIT LOOP
  NO  → continue to next RED phase

---

Use Case Examples

Example A — Requirement-driven (Python / pytest)

Requirements input:

1. add(a, b) returns the sum of two integers
2. add(a, b) raises TypeError if either argument is not an integer

Iteration 1 — RED:

# test_calculator.py
def test_add_returns_sum_of_two_integers():
    assert add(1, 2) == 3  # FAILS — add() not defined yet

Iteration 1 — GREEN:

# calculator.py
def add(a, b):
    return a + b

Iteration 1 — REFACTOR: no duplication, naming is clear — nothing to change.

Iteration 2 — RED:

def test_add_raises_type_error_for_non_integer():
    with pytest.raises(TypeError):
        add("x", 2)  # FAILS — no type check yet

Iteration 2 — GREEN:

def add(a, b):
    if not isinstance(a, int) or not isinstance(b, int):
        raise TypeError("Both arguments must be integers")
    return a + b

Iteration 2 — REFACTOR: extract guard if reused elsewhere — not needed here.

All requirements covered → EXIT LOOP.

---

Example B — Code-driven (Java / JUnit 5)

Existing untested method:

public int divide(int a, int b) {
    return a / b;
}

Untested paths identified:

1. normal division: divide(10, 2) → 5
2. division by zero: divide(5, 0) → ArithmeticException

Proceed with the standard loop, treating each path as a requirement.

---

Tips and Edge Cases

• One test per iteration. Never write multiple failing tests at once — it defeats the discipline of TDD.
• Test names are documentation. A good test name makes the requirement readable without opening the implementation.
• Green must mean green. Do not move to REFACTOR if any test is red.
• REFACTOR is mandatory. Skipping it accumulates technical debt. Even "nothing to refactor" is a valid outcome — but it must be checked.
• Stuck on GREEN? If minimal code is not obvious, write the simplest possible thing (even hardcoded), then let the next iteration force generalisation (triangulation).
• Multi-session: save Handover-State.md to the working directory. Resume by loading state and continuing from current_phase.