By vanman2024
Orchestrate execution of layered tasks by mapping to tech-specific commands
Check outstanding tasks across specs - shows completion status and remaining work
Resume execution after pause or failure
Execute specific layer only
Execute feature/infrastructure/application/website implementation with intelligent context reading and flexible execution options
Preview task-to-command mapping without execution (dry-run)
Execute tech-specific commands with retry logic and error handling. Use when running mapped slash commands with robust error recovery, execution logging, and structured result reporting.
Orchestrate implementation execution with parallel phase processing for infrastructure and features
Track and report execution status in .claude/execution/
Map task descriptions to tech-specific commands intelligently
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 implementationProduction-ready Celery distributed task queue with worker management, beat scheduling, monitoring (Flower), and framework integrations (Django, Flask, FastAPI)
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Plan and autonomously build a software task end-to-end. Recons the codebase, applies preloaded memory, decomposes into the right number of phases, gets one confirmation, then prepares a single ready-to-paste /goal command — one paste between you and done — that drives execution to completion with built-in retry, fix-spec recovery, and per-phase memory writeback. Works on Claude Code and Codex.
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AI-powered cascading development framework with design document system and multi-agent collaboration. Breaks down projects into Features (Mega Plan), Features into Stories (Hybrid Ralph), with auto-generated technical design docs, dependency-driven batch execution, Git Worktree isolation, and support for multiple AI agents (Codex, Amp, Aider, etc.).
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