Bmad Qa Generate E2e Tests logo

Bmad Qa Generate E2e Tests

OrganizationPopular
bmad-code-org
bmad-qa-generate-e2e-tests

Generate automated API and end-to-end tests for implemented features. Use when the user says "create qa automated tests for [feature]"

Overview

Publisherbmad-code-org
RepositoryBMAD-METHOD
Skill namebmad-qa-generate-e2e-tests
Stars
53.7K
Forks
6.1K
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by bmad-code-org on GitHub. Read the source before you install it.

Installation

Install the Bmad Qa Generate E2e Tests 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.
    https://github.com/bmad-code-org/BMAD-METHOD/tree/main/skills/bmad-qa-generate-e2e-tests
  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/bmad-code-org/BMAD-METHOD.git /tmp/BMAD-METHOD
mkdir -p .claude/skills
cp -r /tmp/BMAD-METHOD/skills/bmad-qa-generate-e2e-tests .claude/skills/bmad-qa-generate-e2e-tests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bmad Qa Generate E2e Tests 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 Bmad Qa Generate E2e Tests 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 Bmad Qa Generate E2e Tests 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.

QA Generate E2E Tests Workflow

Goal: Generate automated API and E2E tests for implemented code.

Your Role: You are a QA automation engineer. You generate tests ONLY — no code review or story validation (use the bmad-code-review skill for that).

Conventions

  • Bare paths (e.g. checklist.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root} is the nearest folder containing _bmad/, starting at the project working directory and moving up through its parents.
  • {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow

If the script is not found, BMad is not set up here. Offer to run the bmad skill's setup, installing bmad first if you do not have it (npx skills add bmad-code-org/BMAD-METHOD --skill bmad), then run the command again.

If it fails for any other reason, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml — defaults
  2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
  3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Run: uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root} --key core.project_name --key core.output_folder --key core.active_initiative

  • Script not found, or no output_folder: BMad is not set up here. Offer to run the bmad skill's setup, installing bmad first if you do not have it (npx skills add bmad-code-org/BMAD-METHOD --skill bmad), then run the command again.

  • No active_initiative: drop /{active_initiative} from the paths below.

  • date as system-generated current datetime

  • YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style

Step 5: Greet the User

Greet the user.

Step 6: Execute Append Steps

Execute each entry in {workflow.activation_steps_append} in order.

Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.

Paths

  • test_dir = {project-root}/tests
  • source_dir = {project-root}
  • default_output_file = {output_folder}/{active_initiative}/test-summary-{slug}/test-summary-{slug}.md, {slug} naming the feature tested

Execution

Step 0: Detect Test Framework

Check project for existing test framework:

  • Look for package.json dependencies (playwright, jest, vitest, cypress, etc.)
  • Check for existing test files to understand patterns
  • Use whatever test framework the project already has
  • If no framework exists:
    • Analyze source code to determine project type (React, Vue, Node API, etc.)
    • Search online for current recommended test framework for that stack
    • Suggest the meta framework and use it (or ask user to confirm)

Step 1: Identify Features

Ask user what to test:

  • Specific feature/component name
  • Directory to scan (e.g., src/components/)
  • Or auto-discover features in the codebase

Step 2: Generate API Tests (if applicable)

For API endpoints/services, generate tests that:

  • Test status codes (200, 400, 404, 500)
  • Validate response structure
  • Cover happy path + 1-2 error cases
  • Use project's existing test framework patterns

Step 3: Generate E2E Tests (if UI exists)

For UI features, generate tests that:

  • Test user workflows end-to-end
  • Use semantic locators (roles, labels, text)
  • Focus on user interactions (clicks, form fills, navigation)
  • Assert visible outcomes
  • Keep tests linear and simple
  • Follow project's existing test patterns

Step 4: Run Tests

Execute tests to verify they pass (use project's test command).

If failures occur, fix them immediately.

Step 5: Create Summary

Output markdown summary:

markdown
# Test Automation Summary

## Generated Tests

### API Tests
- [x] tests/api/endpoint.spec.ts - Endpoint validation

### E2E Tests
- [x] tests/e2e/feature.spec.ts - User workflow

## Coverage
- API endpoints: 5/10 covered
- UI features: 3/8 covered

## Next Steps
- Run tests in CI
- Add more edge cases as needed

Keep It Simple

Do:

  • Use standard test framework APIs
  • Focus on happy path + critical errors
  • Write readable, maintainable tests
  • Run tests to verify they pass

Avoid:

  • Complex fixture composition
  • Over-engineering
  • Unnecessary abstractions

For Advanced Features:

If the project needs:

  • Risk-based test strategy
  • Test design planning
  • Quality gates and NFR assessment
  • Comprehensive coverage analysis
  • Advanced testing patterns and utilities

Install Test Architect (TEA) module: https://bmad-code-org.github.io/bmad-method-test-architecture-enterprise/

Output

Save summary to: {default_output_file}

Done! Tests generated and verified. Validate against checklist.md.

On Complete

Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow.on_complete

If the resolved workflow.on_complete is non-empty, follow it as the final terminal instruction before exiting.

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 Bmad Qa Generate E2e Tests AI skill do?

Generate automated API and end-to-end tests for implemented features. Use when the user says "create qa automated tests for [feature]"

Why use Bmad Qa Generate E2e Tests on TypingMind?

Because you install it once and use it with any model. Bmad Qa Generate E2e Tests 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 Bmad Qa Generate E2e Tests in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bmad-code-org/BMAD-METHOD/tree/main/skills/bmad-qa-generate-e2e-tests. 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 Bmad Qa Generate E2e Tests?

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 Bmad Qa Generate E2e Tests?

As many as you like. As long as a model supports skills, you can use Bmad Qa Generate E2e Tests with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bmad Qa Generate E2e Tests AI skill free?

It is published on GitHub by bmad-code-org. Check the repository for licensing terms. 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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