Automated summary
This skill enforces a test-first development workflow by guiding the user through the Red-Green-Refactor cycle, ensuring tests are written before implementation.
Strengths
- Enforces test discipline leading to higher code quality
- Catches bugs early by requiring tests before code
- Clear phases with automatic checks and user approvals
- Integrates quality tools (ruff, mypy) for code validation
Limitations
- Assumes user familiarity with TDD principles
- May slow down development if applied too rigidly
- Requires pytest and uv setup in the environment
Use this skill when starting a new feature, fixing a bug, or refactoring in a Python project that follows structured testing.
Avoid using it for quick prototyping or trivial changes where tests would not provide immediate value.
Security analysis
SafeThe skill only uses Bash to run standard development tools (pytest, ruff, mypy) for TDD. No destructive or exfiltrating commands.
No concerns found
How this analysis is madeExamples
I need to implement a login function for my authentication module. Please follow the TDD workflow: start by writing a failing test, then implement the minimal code to pass it, and finally refactor.Add a new registration endpoint to the API. Use test-first approach: create tests for success and error cases, then implement the endpoint, and clean up the code.There is a bug in the session handling when the token expires. Please use the TDD skill to write a failing reproduction test first, then fix the bug and refactor.name: tdd-workflow description: TDDワークフローを強制し、テストファースト開発を支援します。新機能実装時に自動起動し、Red-Green-Refactorサイクルを確実に実行します。 allowed-tools: Read Edit Write Glob Grep Bash
TDD Workflow スキル
このスキルは、Constitution Article 1: Test-First Imperative を強制し、テスト駆動開発(TDD)ワークフローを支援します。
起動条件
以下の状況で自動起動します:
- 新機能実装開始時: 新しい機能の実装を開始する際
- バグ修正開始時: バグを修正する際(再現テストを先に作成)
- リファクタリング開始時: 既存コードの改善前にテストを確認
TDDサイクル
Phase 1: Red(テスト作成・失敗確認)
目的: 失敗するテストを先に作成する
-
テストファイルの作成/特定
- ファイル命名規則:
test_<機能名>.py - 配置場所:
tests/ディレクトリ
- ファイル命名規則:
-
テストケースの設計
- 期待する動作を明確に定義
- エッジケースを考慮
- 失敗する理由を明確に
-
テストの実行と失敗確認
uv run pytest tests/test_<機能名>.py -v -
ユーザー承認
- テストケースをユーザーに提示
- 承認を得てから次のフェーズへ
Phase 2: Green(最小限の実装)
目的: テストを通過する最小限のコードを実装する
-
実装ファイルの作成
- テストを通過させることのみに集中
- 過剰な設計を避ける
-
テストの実行と成功確認
uv run pytest tests/test_<機能名>.py -v -
品質チェック
uv run ruff check --fix . && uv run ruff format . && uv run mypy .
Phase 3: Refactor(リファクタリング)
目的: テストを維持しながらコードを改善する
-
コードの改善
- 重複の除去
- 可読性の向上
- パフォーマンスの最適化
-
テストの再実行
uv run pytest tests/test_<機能名>.py -v -
全テストの確認
uv run pytest
テスト構成の原則
ファイル対応
| 実装ファイル | テストファイル |
|-------------|--------------|
| src/auth.py | tests/test_auth.py |
| src/article.py | tests/test_article.py |
| src/session.py | tests/test_session.py |
テストクラス構成
# tests/test_auth.py
import pytest
class TestLogin:
"""ログイン機能のテスト"""
def test_login_success(self) -> None:
"""正常なログインが成功すること"""
...
def test_login_invalid_credentials(self) -> None:
"""無効な認証情報でエラーになること"""
...
class TestLogout:
"""ログアウト機能のテスト"""
def test_logout_success(self) -> None:
"""正常なログアウトが成功すること"""
...
テスト命名規則
test_<機能>_<状況>_<期待結果>- 例:
test_login_with_valid_credentials_returns_session
ワークフロー例
例1: 新しいログイン機能の実装
Step 1: テスト作成(Red)
# tests/test_auth.py
import pytest
from src.auth import login
class TestLogin:
def test_login_success(self) -> None:
"""正常なログインが成功すること"""
result = login("valid_user", "valid_password")
assert result.success is True
assert result.session_id is not None
def test_login_invalid_password(self) -> None:
"""無効なパスワードでエラーになること"""
with pytest.raises(AuthenticationError):
login("valid_user", "wrong_password")
Step 2: テスト失敗確認
uv run pytest tests/test_auth.py -v
# FAILED - ImportError: cannot import name 'login' from 'src.auth'
Step 3: ユーザー承認
「このテストケースで進めてよろしいですか?」
Step 4: 最小実装(Green)
# src/auth.py
from dataclasses import dataclass
@dataclass
class LoginResult:
success: bool
session_id: str | None
class AuthenticationError(Exception):
pass
def login(username: str, password: str) -> LoginResult:
if password == "wrong_password":
raise AuthenticationError("Invalid credentials")
return LoginResult(success=True, session_id="session_123")
Step 5: テスト成功確認
uv run pytest tests/test_auth.py -v
# PASSED
Step 6: リファクタリング(Refactor)
必要に応じてコードを改善
注意事項
- テストなしの実装は禁止: Article 1 は非交渉的原則
- テストの承認は必須: ユーザー承認なしに実装を進めない
- テストカバレッジ: 主要なパスとエッジケースをカバー
- モック使用: 外部依存はモックを使用して単体テストを実現
チェックリスト
実装開始前に確認:
- [ ] テストファイルが存在するか
- [ ] テストが失敗状態(Red)であることを確認したか
- [ ] ユーザーがテストケースを承認したか
実装完了時に確認:
- [ ] すべてのテストがパス(Green)しているか
- [ ] 品質チェック(ruff, mypy)がパスしているか
- [ ] 不要なコードがないか(リファクタリング完了)
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Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/tdd-workflow-mm5t8a71/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
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mkdir -p '.skill-downloads/tdd-workflow-mm5t8a71' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/tdd-workflow-mm5t8a71/download' --output '.skill-downloads/tdd-workflow-mm5t8a71/SKILL.md.part' && mv '.skill-downloads/tdd-workflow-mm5t8a71/SKILL.md.part' '.skill-downloads/tdd-workflow-mm5t8a71/SKILL.md'2. Check prerequisites
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Tools declared by the author (check availability in your agent): Read Edit Write Glob Grep Bash
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Claude Code
test -f '.skill-downloads/tdd-workflow-mm5t8a71/SKILL.md' && test -s '.skill-downloads/tdd-workflow-mm5t8a71/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/tdd-workflow' && cp -R '.skill-downloads/tdd-workflow-mm5t8a71' '.claude/skills/tdd-workflow'OpenSkills
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Official OpenSkills installationopenskills install './.skill-downloads/tdd-workflow-mm5t8a71'openskills read 'tdd-workflow-mm5t8a71'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
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