Skip to content
AI & Agents
Skill

/tdd-guide

Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD,

From plugin
alirezarezvani-claude-skills
26k200 skills116 agents150 commands2 MCP
Install
$ npx -y skills add alirezarezvani/claude-skills --skill tdd-guide --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/tdd-guide

Context preview

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

Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD,

SKILL.md

tdd-guide.SKILL.md
name: "tdd-guide"
description: "Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, generate mocks or stubs, or mentions testing frameworks like Jest, pytest, or JUnit."

TDD Guide

Test-driven development skill for generating tests, analyzing coverage, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, and Vitest.

---

Workflows

Generate Tests from Code

1. Provide source code (TypeScript, JavaScript, Python, Java) 2. Specify target framework (Jest, Pytest, JUnit, Vitest) 3. Run `test_generator.py` with requirements 4. Review generated test stubs 5. **Validation:** Tests compile and cover happy path, error cases, edge cases

Analyze Coverage Gaps

1. Generate coverage report from test runner (`npm test -- --coverage`) 2. Run `coverage_analyzer.py` on LCOV/JSON/XML report 3. Review prioritized gaps (P0/P1/P2) 4. Generate missing tests for uncovered paths 5. **Validation:** Coverage meets target threshold (typically 80%+)

TDD New Feature

1. Write failing test first (RED) 2. Run `tdd_workflow.py --phase red` to validate 3. Implement minimal code to pass (GREEN) 4. Run `tdd_workflow.py --phase green` to validate 5. Refactor while keeping tests green (REFACTOR) 6. **Validation:** All tests pass after each cycle

---

Examples

Test Generation — Input → Output (Pytest)

**Input source function (`math_utils.py`):**

def divide(a: float, b: float) -> float:
    if b == 0:
        raise ValueError("Cannot divide by zero")
    return a / b

**Command:**

python scripts/test_generator.py --input math_utils.py --framework pytest

**Generated test output (`test_math_utils.py`):**

import pytest
from math_utils import divide

class TestDivide:
    def test_divide_positive_numbers(self):
        assert divide(10, 2) == 5.0

    def test_divide_negative_numerator(self):
        assert divide(-10, 2) == -5.0

    def test_divide_float_result(self):
        assert divide(1, 3) == pytest.approx(0.333, rel=1e-3)

    def test_divide_by_zero_raises_value_error(self):
        with pytest.raises(ValueError, match="Cannot divide by zero"):
            divide(10, 0)

    def test_divide_zero_numerator(self):
        assert divide(0, 5) == 0.0

---

Coverage Analysis — Sample P0/P1/P2 Output

**Command:**

python scripts/coverage_analyzer.py --report lcov.info --threshold 80

**Sample output:**

Coverage Report — Overall: 63% (threshold: 80%)

P0 — Critical gaps (uncovered error paths):
  auth/login.py:42-58   handle_expired_token()       0% covered
  payments/process.py:91-110  handle_payment_failure()   0% covered

P1 — High-value gaps (core logic branches):
  users/service.py:77   update_profile() — else branch  0% covered
  orders/cart.py:134    apply_discount() — zero-qty guard  0% covered

P2 — Low-risk gaps (utility / helper functions):
  utils/formatting.py:12  format_currency()            0% covered

Recommended: Generate tests for P0 items first to reach 80% threshold.

---

Key Tools

| Tool | Purpose | Usage | |------|---------|-------| | `test_generator.py` | Generate test cases from code/requirements | `python scripts/test_generator.py --input source.py --framework pytest` | | `coverage_analyzer.py` | Parse and analyze coverage reports | `python scripts/coverage_analyzer.py --report lcov.info --threshold 80` | | `tdd_workflow.py` | Guide red-green-refactor cycles | `python scripts/tdd_workflow.py --phase red --test test_auth.py` | | `fixture_generator.py` | Generate test data and mocks | `python scripts/fixture_generator.py --entity User --count 5` |

Additional scripts: `framework_adapter.py` (convert between frameworks), `metrics_calculator.py` (quality metrics), `format_detector.py` (detect language/framework), `output_formatter.py` (CLI/desktop/CI output).

---

Input Requirements

**For Test Generation:**

  • Source code (file path or pasted content)
  • Target framework (Jest, Pytest, JUnit, Vitest)
  • Coverage scope (unit, integration, edge cases)

**For Coverage Analysis:**

  • Coverage report file (LCOV, JSON, or XML format)
  • Optional: Source code for context
  • Optional: Target threshold percentage

**For TDD Workflow:**

  • Feature requirements or user story
  • Current phase (RED, GREEN, REFACTOR)
  • Test code and implementation status

---

Spec-First Workflow

TDD is most effective when driven by a written spec. The flow:

1. **Write or receive a spec** — stored in `specs/<feature>.md` 2. **Extract acceptance criteria** — each criterion becomes one or more test cases 3. **Write failing tests (RED)** — one test per acceptance criterion 4. **Implement minimal code (GREEN)** — satisfy each test in order 5. **Refactor** — clean up while all tests stay green

Spec Directory Convention

project/
├── specs/
│   ├── user-auth.md          # Feature spec with acceptance criteria
│   ├── payment-processing.md
│   └── notification-system.md
├── tests/
│   ├── test_user_auth.py     # Tests derived from specs/user-auth.md
│   ├── test_payments.py
│   └── test_notifications.py
└── src/

Extracting Tests from Specs

Each acceptance criterion in a spec maps to at least one test:

| Spec Criterion | Test Case | |---------------|-----------| | "User can log in with valid credentials" | `test_login_valid_credentials_returns_token` | | "Invalid password returns 401" | `test_login_invalid_password_returns_401` | | "Account locks after 5 failed attempts" | `test_login_locks_after_five_failures` |

**Tip:** Number your acceptance criteria in the spec. Reference the number in the test docstring for traceability (`# AC-3: Account locks after 5 failed attempts`).

> **Cross-reference:** See `engineering/spec-driven-workflow` for the full spec methodology, including

Read more
Ships withalirezarezvani-claude-skills

388 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.

Get the whole plugin