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Delegate complex code generation, refactoring, architectural reviews, large-context analysis, documentation queries, and quality gate checks to external AI CLIs (Codex, Copilot, Gemini, NotebookLM) and SonarQube via sandboxed, permission-controlled workflows triggered by explicit commands like 'use codex' or 'gemini exec'.
npx claudepluginhub giuseppe-trisciuoglio/developer-kit --plugin developer-kit-toolsProvides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for complex programming tasks such as code generation, refactoring, or architectural analysis. Triggers on "use codex", "delegate to codex", "run codex cli", "ask codex", "codex exec", "codex review".
Provides GitHub Copilot CLI task delegation in non-interactive mode with multi-model support (Claude, GPT, Gemini), permission controls, output sharing, and session resume. Use when users ask to hand work to Copilot, compare models, or run Copilot programmatically from Claude Code.
Provides Gemini CLI delegation workflows for large-context analysis tasks, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Gemini for a specific task such as broad codebase analysis or long-document processing. Triggers on "use gemini", "delegate to gemini", "run gemini cli", "ask gemini", "use gemini for this task".
Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".
Provides SonarQube and SonarCloud integration patterns via the Model Context Protocol (MCP) server. Enables quality gate monitoring, issue discovery and triaging, pre-push code analysis, and rule education directly in the agent workflow. Use when the user wants to check quality gates, search for Sonar issues, analyze code snippets before committing, or understand SonarQube rules. Triggers on "sonarqube", "sonarcloud", "quality gate", "sonar issues", "analyze with sonar", "check sonar", "sonar rule", "pre-push analysis".
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Core agents and commands required by all Developer Kit plugins
PROJECT.md-first autonomous development with hybrid auto-fix documentation. 8-agent pipeline, auto-orchestration, docs auto-update on commit (true vibe coding). Knowledge base system with 90% faster repeat research. Strict mode enforces SDLC best practices automatically. Works for ANY Python/JavaScript/TypeScript/Go project.
Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 30 hook scripts across 19 events, auto-learning pipeline, hook profiles, and multi-language coding standards
AI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
Claude Code settings and skills for spec-driven development workflows
Mindful AI coding framework — discipline over cleverness. Skill + 21 slash commands + 8 specialist agents + 5 runtime hooks + 15 default checklists + Master Orchestrator + Gravity hub. Works on any model tier (Opus/Sonnet/Haiku). Integrates Claude Design for visual work.
DevOps and containerization expertise
GitHub specification integration and verification
AI/ML capabilities including prompt engineering, RAG, and chunking strategies
TypeScript/JavaScript full-stack development with NestJS, React, and React Native
Python development capabilities
A modular plugin system of reusable skills, agents, and commands for automating development tasks in Claude Code
Listed on:
Developer Kit for Claude Code teaches Claude how to perform development tasks in a repeatable way across multiple languages and frameworks. Built as a modular marketplace, you can install only the plugins you need.
# Install from marketplace (recommended)
/plugin marketplace add giuseppe-trisciuoglio/developer-kit
# Or install from local directory
/plugin install /path/to/developer-kit
Claude Desktop: Enable Skills in Settings
Developer Kit is organized as a modular marketplace with 11 independent plugins:
plugins/
├── developer-kit-core/ # Core agents/commands/skills (required)
├── developer-kit-java/ # Java/Spring Boot/LangChain4J/AWS SDK/GraalVM Native Image
├── developer-kit-typescript/ # NestJS/React/React Native/Next.js/Drizzle/Monorepo
├── developer-kit-python/ # Python development/AWS Lambda
├── developer-kit-php/ # PHP/WordPress/AWS Lambda
├── developer-kit-aws/ # AWS CloudFormation/AWS Architecture
├── developer-kit-ai/ # Prompt Engineering/RAG/Chunking
├── developer-kit-devops/ # Docker/GitHub Actions
├── developer-kit-project-management/ # LRA workflow/Meetings
├── developer-kit-tools/ # Additional development tools and MCP integrations
└── github-spec-kit/ # GitHub specification integration
Current marketplace totals: 116 skills, 43 agents, and 44 commands across the 11 plugin manifests.
Language plugins (Java, TypeScript, Python, PHP) include coding rules (rules/ directory) that auto-activate via globs: path-scoped matching to enforce naming conventions, project structure, language best practices, and error handling patterns. They also include LSP server configurations (.lsp.json) for real-time code intelligence, diagnostics, and navigation features.
The Developer Kit follows a systematic development workflow that ensures high-quality, well-documented features from idea to implementation:
Command: /devkit.brainstorm [idea-description]
Start here when you have a new feature idea. This command guides you to create a functional specification (WHAT the system should do, not HOW):
Output: Functional specification saved to docs/specs/YYYY-MM-DD--feature-name.md
Example:
/devkit.brainstorm Add user authentication with JWT tokens
Next step: After specification, continue with /devkit.spec-to-tasks
Command: /devkit.spec-to-tasks [--lang=java|spring|typescript|nestjs|react|python|general] [spec-file]
Converts the functional specification into atomic, executable tasks:
Output: Task list saved to docs/specs/[id]/tasks/TASK-XXX.md with complexity scores
Example:
/devkit.spec-to-tasks docs/specs/001-user-auth/
/devkit.spec-to-tasks --lang=spring docs/specs/001-user-auth/
Next step: Review task complexity and manage tasks with /devkit.task-manage
Command: /devkit.task-manage --action=[list|split|add|mark-optional|update|regenerate-index] [options]
Manage tasks after generation to ensure they're appropriately sized and prioritized: