vibe-coding-orchestrator
**VIBE CODING ORCHESTRATOR v5.0** - 16개 AI 스킬 자동 조율 시스템. 비개발자도 프로급 코딩. 바이브 코딩에서 프로덕션까지. 4단계 성숙도 모델. 2025 현대 도구 통합.
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
**VIBE CODING ORCHESTRATOR v5.0** - 16개 AI 스킬 자동 조율 시스템. 비개발자도 프로급 코딩. 바이브 코딩에서 프로덕션까지. 4단계 성숙도 모델. 2025 현대 도구 통합.
Use when delegating coding tasks to Gemini CLI agent, when you need parallel AI execution, or when tasks benefit from Gemini's 1M+ context window.
CLI tool for capturing agent trajectories. Execute prompts against ACP-compatible agents, capture full trajectories (tools, thoughts, plans), and output structured JSONL for downstream scoring.
Integrate OpenAI Agent SDK with Google Gemini backend into FastAPI service using the official Google Gemini API via OpenAI compatibility layer.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Generate images using Google Gemini's image generation APIs via Python CLI. Use for "generate image", "create image", "gemini image", "AI image", or when needing AI image generation in Claude Code.
Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques
FastAPI + Python backend development specialist. Use when building APIs, endpoints, database integration, authentication, background tasks, or debugging Python backends. Includes Supabase server-side patterns, Pydantic validation, async operations, and Railway/Vercel deployment.
Submit complex code questions to OpenAI GPT-5 Pro for deep analysis when you have 20 minutes. Use when the user asks for architectural analysis, comprehensive code review, debugging complex issues, or requests expert analysis of their codebase that requires extended reasoning. Automatically handles file selection, code packing with Repomix, cost estimation, long-running API requests, and result presentation.
This skill should be used for all external AI collaboration - consulting, implementing, or reviewing with codex/cursor-agent. Triggers include "pair with codex", "get a second opinion", "delegate this", "consult on", "review this work". Uses output contracts to return lean, structured responses that don't pollute the orchestrating agent's context.
ai-tools同期 - リポジトリと~/.claude/間の設定ファイル同期。to-local/from-local/diffモード。
Autonomous AI coding loop that ships features while you sleep. Use when the user wants to run Ralph, start an autonomous coding session, work overnight, or let Claude implement multiple user stories autonomously. Triggers on "ralph", "autonomous mode", "overnight coding", "autonomous loop", or requests to implement multiple stories without supervision.
Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their workflow follows best practices for managing LLM uncertainty, (4) User mentions creating workflows for domains like code review, response analysis, documentation, or any structured process
Plan what to measure in AI agent systems using tiered approach
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
Real-time voice AI knowledge including STT and TTS providers, LiveKit Agents plugins, and voice pipeline patterns. Use when working with speech-to-text, text-to-speech, voice agents, LiveKit, or any voice-related infrastructure.
Generates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.