QA Generate E2E Tests Workflow

SkillProductivity

Turns your agent into a bmad claude skill that generates and runs automated end-to-end tests for existing features.

Use QA Generate E2E Tests Workflow in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add QA Generate E2E Tests Workflow and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the QA Generate E2E Tests Workflow skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

QA Generate E2E Tests WorkflowStart free
About this skill

Generate end to end automated tests for existing features. Use when the user says "create qa automated tests for [feature]"

What this skill tells your AI

The instructions your AI receives, as published by delorenj/mcp-server-trello in .agent/skills/bmad-qa-generate-e2e-tests/SKILL.md and read by ahel’s review.

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}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, 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

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

  • project_name, user_name
  • communication_language, document_output_language
  • implementation_artifacts
  • date as system-generated current datetime
  • YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}

Step 5: Greet the User

Greet {user_name}, speaking in {communication_language}.

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 = {implementation_artifacts}/tests/test-summary.md

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:

# 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: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete

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

Signals

GitHub stars
445
Forks
147
Last commit
Sep 2026
Advanced
Item type
skill
Key
bmad-qa-generate-e2e-tests-delorenj
Source
github.com/delorenj/mcp-server-trello