By vanman2024
Automated deployment orchestration with observability (Sentry MCP), canary deployments, feature flags, and auto-rollback - routes to FastMCP Cloud, DigitalOcean, Vercel, Netlify, Cloudflare Pages
Zero-downtime parallel environment swap deployment
Progressive traffic rollout with auto-rollback monitoring
Capture performance baselines (Lighthouse, API latency) for deployment monitoring
Complete deployment orchestrator - prepares project, configures CI/CD with GitHub Actions and secrets, deploys, and validates. Runs prepare → setup-cicd → deploy → validate in sequence for full automation.
Initialize feature flag infrastructure (LaunchDarkly/Flagsmith)
Use this agent to orchestrate progressive rollouts with traffic splitting and error monitoring for canary deployments across Vercel, DigitalOcean, and Railway platforms.
Use this agent to execute deployment to detected platforms (FastMCP Cloud, DigitalOcean, Vercel, Hostinger, Netlify, Cloudflare Pages) with proper authentication, build processes, and configuration. Invoke when ready to deploy after detection and validation.
Use this agent to detect project type and determine the appropriate deployment platform (FastMCP Cloud, DigitalOcean, Vercel, Hostinger, Netlify, Cloudflare Pages). Invoke when analyzing projects for deployment routing decisions.
Run comprehensive pre-flight checks to ensure projects are ready for deployment
Use this agent to validate successful deployment with health checks, endpoint testing, and comprehensive verification. Invoke after deployment completes to ensure the application is running correctly.
Error rate monitoring, SLO detection, and notification webhooks for automated rollback triggers. Use when setting up automated deployment rollback, monitoring error rates, configuring SLO thresholds, implementing deployment safety nets, setting up alerting webhooks, or when user mentions automated rollback, error rate monitoring, SLO violations, deployment safety, or rollback automation.
Vercel and Cloudflare canary deployment patterns with traffic splitting, gradual rollout automation, and rollback strategies. Use when deploying with canary releases, implementing progressive rollouts, managing traffic splitting, configuring A/B deployments, or when user mentions canary deployment, blue-green deployment, gradual rollout, traffic shifting, or deployment rollback.
Automated CI/CD pipeline setup using GitHub Actions with automatic secret configuration via GitHub CLI. Generates platform-specific workflows (Vercel, DigitalOcean, Railway) and configures repository secrets automatically. Use when setting up continuous deployment, configuring GitHub Actions, automating deployments, or when user mentions CI/CD, GitHub Actions, automated deployment, or pipeline setup.
Platform-specific deployment scripts and configurations. Use when deploying applications, configuring cloud platforms, validating deployment environments, setting up CI/CD pipelines, or when user mentions Vercel, Netlify, AWS, Docker, deployment config, build scripts, or environment validation.
DigitalOcean App Platform deployment using doctl CLI for containerized applications, web services, static sites, and databases. Includes app spec generation, deployment orchestration, environment management, domain configuration, and health monitoring. Use when deploying to App Platform, managing app specs, configuring databases, or when user mentions App Platform, app spec, managed deployment, or PaaS deployment.
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 deploymentProduction-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.
Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement
Enhances Claude Code from producing raw code into delivering production-ready systems. 14 specialized agents handle architecture, tested code, security audit, CI/CD, and documentation. Use for building apps/websites/services, adding features, hardening, deployment, testing, review, or architecture design.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.