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Tdd Guide

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yezannnnn
tdd-guide

Test-driven development workflow with test generation, coverage analysis, and multi-framework support

Overview

Publisheryezannnnn
RepositoryagentGroup
Skill nametdd-guide
Stars
149
Forks
49
Bundled files
16
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 16 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yezannnnn on GitHub. Read the source before you install it.

Installation

Install the Tdd Guide AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yezannnnn/agentGroup.git /tmp/agentGroup
mkdir -p .claude/skills
cp -r /tmp/agentGroup/jarvis/skills/engineering-team/tdd-guide .claude/skills/tdd-guide
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tdd Guide in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tdd Guide on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tdd Guide is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TDD Guide

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

Table of Contents


Capabilities

CapabilityDescription
Test GenerationConvert requirements or code into test cases with proper structure
Coverage AnalysisParse LCOV/JSON/XML reports, identify gaps, prioritize fixes
TDD WorkflowGuide red-green-refactor cycles with validation
Framework AdaptersGenerate tests for Jest, Pytest, JUnit, Vitest, Mocha
Quality ScoringAssess test isolation, assertions, naming, detect test smells
Fixture GenerationCreate realistic test data, mocks, and factories

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

Tools

ToolPurposeUsage
test_generator.pyGenerate test cases from code/requirementspython scripts/test_generator.py --input source.py --framework pytest
coverage_analyzer.pyParse and analyze coverage reportspython scripts/coverage_analyzer.py --report lcov.info --threshold 80
tdd_workflow.pyGuide red-green-refactor cyclespython scripts/tdd_workflow.py --phase red --test test_auth.py
framework_adapter.pyConvert tests between frameworkspython scripts/framework_adapter.py --from jest --to pytest
fixture_generator.pyGenerate test data and mockspython scripts/fixture_generator.py --entity User --count 5
metrics_calculator.pyCalculate test quality metricspython scripts/metrics_calculator.py --tests tests/
format_detector.pyDetect language and frameworkpython scripts/format_detector.py --file source.ts
output_formatter.pyFormat output for CLI/desktop/CIpython scripts/output_formatter.py --format markdown

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

Limitations

ScopeDetails
Unit test focusIntegration and E2E tests require different patterns
Static analysisCannot execute tests or measure runtime behavior
Language supportBest for TypeScript, JavaScript, Python, Java
Report formatsLCOV, JSON, XML only; other formats need conversion
Generated testsProvide scaffolding; require human review for complex logic

When to use other tools:

  • E2E testing: Playwright, Cypress, Selenium
  • Performance testing: k6, JMeter, Locust
  • Security testing: OWASP ZAP, Burp Suite

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tdd Guide AI skill do?

Test-driven development workflow with test generation, coverage analysis, and multi-framework support

Why use Tdd Guide on TypingMind?

Because you install it once and use it with any model. Tdd Guide is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tdd Guide in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yezannnnn/agentGroup/tree/master/jarvis/skills/engineering-team/tdd-guide. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tdd Guide?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tdd Guide?

As many as you like. As long as a model supports skills, you can use Tdd Guide with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tdd Guide AI skill free?

Yes. It is published on GitHub by yezannnnn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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