By vanman2024
MCP ecosystem management and minimal environment setup for dev-lifecycle-marketplace
Add infrastructure component to project.json and generate spec
Detect project tech stack and populate .claude/project.json
Complete Doppler secret management setup with scripts, docs, and GitHub integration
Verify required tools are installed for detected tech stack
Manage environment variables for project configuration
Use this agent to detect required environment variables from multiple sources (specs, manifests, code). Analyzes specs/ directory first, then package files, then scans code. Generates complete .env files with required keys.
Create infrastructure specification from project.json component data. Generates spec.md, setup.md, and tasks.md for infrastructure components.
Use this agent to analyze project structure and detect complete tech stack including frameworks, languages, AI SDKs, databases, and deployment targets. Invoke when needing to understand project architecture and populate .claude/project.json with detected stack information.
Analyzes existing project structure and intelligently migrates to standardized layout by running create-structure.sh script
Provides scripts and templates for automated build system management, command registration, and plugin maintenance. These are battle-tested scripts that automate repetitive infrastructure tasks.
**Purpose:** Complete Doppler secret management setup with scripts, templates, and GitHub integration
Environment verification, tool checking, version validation, and path configuration. Use when checking system requirements, verifying tool installations, validating versions, checking PATH configuration, or when user mentions environment setup, system check, tool verification, version check, missing tools, or installation requirements.
Standardized git hooks for security and quality enforcement across all projects.
Comprehensive MCP server configuration templates, .mcp.json management, API key handling, and server installation helpers. Use when configuring MCP servers, managing .mcp.json files, setting up API keys, installing MCP servers, validating MCP configs, or when user mentions MCP setup, server configuration, MCP environment, API key storage, or MCP installation.
Uses power tools
Uses Bash, Write, or Edit tools
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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:
Production-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.
npx claudepluginhub vanman2024/dev-lifecycle-marketplace --plugin foundationContext-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
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.
Complete developer toolkit for Claude Code
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.