By mateon01
AI-DLC (AI-Driven Development Life Cycle) - A structured, adaptive software development workflow for Claude Code
npx claudepluginhub mateon01/aidlc-for-claude --plugin aidlc-for-claudeAI-DLC: Application Design
AI-DLC: Build and Test - includes CGIG compilation repair when enabled
AI-DLC: CI Setup - Generate CI/CD pipelines, PR review workflows, and issue/PR templates for any project
AI-DLC: Code Generation
AI-DLC: Functional Design
AI-DLC: Graph Analysis - Build, update, visualize, and repair via code dependency graphs
AI-DLC: Infrastructure Design
AI-DLC: NFR Design
AI-DLC: NFR Requirements
AI-DLC: Operations
AI-DLC: Requirements Analysis
AI-DLC: Reverse Engineering
AI-DLC: Review PR - Analyze pull request diffs for code quality, security, and consistency
AI-DLC: System NFR Assessment
AI-DLC: Units Generation
AI-DLC: User Stories
AI-DLC: Workflow Planning
AI-DLC: Workspace Detection
AI-DLC: AI-Driven Development Life Cycle - Start a structured software development workflow
AI-DLC INCEPTION Stage 6: Application Design - High-level component identification and service layer design
AI-DLC CONSTRUCTION Stage 6: Build and Test - Builds, tests, and validates all completed units with actual execution
AI-DLC CI Setup: Generates CI/CD pipelines, PR review workflows, and GitHub issue/PR templates for any project
AI-DLC CONSTRUCTION Stage 5 Part 2: Code Generation Execution - Executes approved code plan to generate code and tests
AI-DLC CONSTRUCTION Stage 5 Part 1: Code Generation Planning - Creates detailed code generation plan per unit
AI-DLC CONSTRUCTION Stage 1: Functional Design - Detailed business logic design per unit (technology-agnostic)
AI-DLC Graph Analysis: Builds, updates, and visualizes code dependency graphs with multi-backend support (File, Neo4j, Neptune), optional GraphRAG summary-based retrieval, and CGIG compilation repair
AI-DLC CONSTRUCTION Stage 4: Infrastructure Design - Maps logical components to actual infrastructure services
AI-DLC CONSTRUCTION Stage 2: NFR Requirements - Determines non-functional requirements and tech stack per unit
AI-DLC CONSTRUCTION Stage 3: NFR Design - Incorporates NFR requirements into design using patterns
AI-DLC OPERATIONS: Deployment Checklist and README Generation
AI-DLC PR Review: Analyzes pull request diffs for code quality, security, performance, and consistency
AI-DLC INCEPTION Stage 3: Requirements Analysis - Gathers and analyzes requirements with adaptive depth
AI-DLC INCEPTION Stage 2: Reverse Engineering - Deep analysis of existing codebase for brownfield projects
AI-DLC INCEPTION Stage 4: User Stories - Creates user stories with INVEST criteria through planning then generation
AI-DLC CONSTRUCTION Stage 0: System NFR Assessment - Establishes cross-cutting NFR decisions before per-unit loop
AI-DLC INCEPTION Stage 7: Units Generation - Decomposes system into manageable units of work
AI-DLC INCEPTION Stage 5: Workflow Planning - Determines which stages to execute and creates execution plan
AI-DLC INCEPTION Stage 1: Workspace Detection - Scans workspace to determine project type (greenfield/brownfield) and existing state
Meta-prompting and spec-driven development system for Claude Code. Productivity framework for structured AI-assisted development.
Uses power tools
Uses Bash, Write, or Edit tools
Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Works with Claude Code, Kiro, Clawd CLI, Gemini CLI, Cursor, Continue, Hermes, and 17+ AI coding assistants. Now with Arabic, German, Spanish, and Chinese (Simplified & Traditional) support.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Team-oriented workflow plugin with role agents, 27 specialist agents, ECC-inspired commands, layered rules, and hooks skeleton.
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.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation