By vanman2024
Comprehensive testing wizard: auto-detection, generation, and execution across unit, smoke, API contract, E2E testing for any tech stack
Generate GitHub Actions workflow for test suites, avoiding duplication with existing CI pipelines
Generate test suites automatically by detecting project stack and analyzing source code
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Run comprehensive test suite with auto-detection across unit, smoke, API contract, and E2E testing
Generate comprehensive frontend test suites for React/Next.js applications including component, visual regression, accessibility, and performance tests based on implementation analysis
Detect test frameworks, coverage tools, CI config. Populates .claude/project.json testing key.
Generates comprehensive test suites from implementation analysis
Execute tests across all detected frameworks with result aggregation and CI-awareness
Reads package.json testing config and generates complete test suites (Jest, React Testing Library, Playwright) based on project structure and testing parameters
OpenAPI to Portman to Newman pipeline with auth injection for API contract testing. Use when building API tests from OpenAPI specs, injecting authentication into test collections, running contract tests, or when user mentions OpenAPI, Portman, API contract, Swagger, API testing pipeline, auth injection.
Comprehensive frontend testing patterns including component tests (Jest/Vitest + RTL), visual regression (Playwright), accessibility (axe-core), and performance (Lighthouse) testing for React/Next.js applications. Use when building frontend tests, testing React components, implementing visual regression, running accessibility tests, performance testing, or when user mentions component testing, visual regression, a11y testing, React Testing Library, Jest, Vitest, Lighthouse, or frontend testing.
Run and analyze Newman (Postman CLI) tests. Use when running API tests, validating Postman collections, testing HTTP endpoints, or when user mentions Newman, Postman tests, API validation.
Playwright end-to-end testing patterns including page object models, test scenarios, visual regression, and CI/CD integration. Use when building E2E tests, testing web applications, automating browser interactions, implementing page objects, running Playwright tests, debugging E2E failures, or when user mentions Playwright, E2E, browser automation, page object model, POM, visual regression, or end-to-end testing.
Health endpoint and critical path smoke testing patterns. Use when running quick validation tests, checking health endpoints, verifying critical paths respond correctly, or when user mentions smoke testing, health checks, quick validation, sanity checks.
Uses power tools
Uses Bash, Write, or Edit tools
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Tech-agnostic workflow automation - from init to deploy in 7 lifecycle phases.
Version: 2.0.0 (Rebuilt October 2025 + November 2025 additions)
The dev-lifecycle-marketplace provides structured development workflow plugins that work with ANY tech stack. These plugins handle HOW you develop (process and methodology), not WHAT you develop with (specific SDKs or frameworks).
Key Concept: Lifecycle plugins are completely tech-agnostic. They detect your project's tech stack and adapt accordingly.
Initialize projects, detect tech stack, configure environment
Commands:
/foundation:init - Initialize project structure/foundation:detect-stack - Detect and document tech stack/foundation:setup-env - Setup environment configuration/foundation:verify-setup - Verify project setupWhat it does:
.claude/project.json with detected framework, languages, structureComponents:
Create specifications, architecture designs, roadmaps, and ADRs
Commands:
/planning:plan - Create comprehensive project plans/planning:spec - Write feature specifications/planning:architecture - Design system architecture/planning:roadmap - Create project roadmaps/planning:decisions - Document architectural decisions (ADRs)What it does:
.claude/project.json to understand your projectComponents:
Task management, code adjustments, refactoring, feature enhancement
Commands:
/iterate:adjust - Adjust implementation based on feedback/iterate:sync - Sync implementation with specifications/iterate:tasks - Transform sequential tasks into layered tasks with agent assignmentsWhat it does:
Components:
Special Note: Preserves the critical task-layering agent that intelligently assigns agents to tasks.
Automated feature building from layered tasks with tech-specific command mapping
Commands:
/implementation:execute - Execute all layered tasks (L0→L3) sequentially/implementation:execute-layer - Execute specific layer only/implementation:status - Show execution progress/implementation:continue - Resume execution after pause/failure/implementation:map-task - Preview task-to-command mapping (dry-run)What it does:
.claude/execution/ status files/iterate:sync after each layerComponents:
Example Workflow:
/planning:add-feature "AI chat interface"
/iterate:tasks F001
/implementation:execute F001 # Automatically executes all mapped commands
Code validation, security scanning, and compliance checking
Commands:
/quality:validate-code - Validate code against specs and security rules/quality:security - Run security scans and vulnerability checks/quality:performance - Analyze performance and identify bottlenecksWhat it does:
npx claudepluginhub vanman2024/dev-lifecycle-marketplace --plugin testingProduction-ready Celery distributed task queue with worker management, beat scheduling, monitoring (Flower), and framework integrations (Django, Flask, FastAPI)
OpenRouter SDK plugin - unified interface for 500+ LLM models with intelligent routing, cost optimization, and framework integrations (Vercel AI SDK, LangChain, OpenAI SDK, PydanticAI)
Comprehensive ElevenLabs AI audio integration for voice-enabled applications with TTS, STT, voice cloning, and Vercel AI SDK support
Comprehensive Supabase integration for AI applications with database, auth, storage, realtime, and vector search capabilities
Modular Vercel AI SDK development plugin with 13 specialized agents, parallel orchestration, and AI SDK v6 support. Features AI Elements (54 components), 107+ providers, Tools Registry, MCP integration, and full-stack app builder.
Language-agnostic test plan generation and execution.
Autonomous development orchestration with parallel TDD execution
TestForge - Master of quality assurance through intelligent test generation. Analyzes code behavior to auto-generate comprehensive tests that catch real bugs, not just boost coverage numbers. Supports Jest, Pytest, Vitest, and more.
QA skills for automation domain.
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
AI test generation with Ralph-loop quality gate: coder → reviewer → iterate