multi-agent-coordinator

協調多個 AI 模型（ChatGPT、Gemini、Codex、QWEN、Claude）進行三角驗證，確保「Specification == Program == Test」一致性。過濾假警報後輸出報告，大幅減少人工介入時間。

Comprehensive research and analysis using Claude (subagents), Gemini CLI, and Codex CLI. Multi-perspective research with cross-verification, iterative refinement, and 100% citation coverage. Use for security analysis, architecture research, code quality assessment, performance analysis, or any research requiring rigorous verification and multiple AI perspectives.

Start the multi-AI pipeline with a given request. Guides through plan -> review -> implement -> review workflow.

Supervisor, swarm, and hierarchical multi-agent architectures with context isolation patterns.

Build multi-agent AI systems for construction estimation. Use CrewAI/LangGraph to orchestrate specialized agents: QTO agent, pricing agent, validation agent. Automate complex estimation workflows.

Use when working with error debugging multi agent review

Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm

Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.

Parse and convert multimodal documents (PDF, DOCX, etc.) into structured Markdown with minimal information loss. Use this skill when users need to: (1) convert documents containing text, images, and audio into Markdown format, (2) extract and OCR text from embedded images, (3) recognize and render mathematical formulas, (4) transcribe embedded audio files, (5) preserve document structure and reading order during conversion. Trigger on requests like "convert this PDF to markdown", "extract content from this document", "turn this docx into markdown with OCR".

Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image with Imagen 4, editing, composition, refinement), generate videos (text-to-video with Veo 3, 8-second clips with native audio). Use when working with audio/video files, analyzing images or screenshots (instead of default vision capabilities of Claude, only fallback to Claude's vision capabilities if needed), processing PDF documents, extracting structured data from media, creating images/videos from text prompts, or implementing multimodal AI features. Supports Gemini 3/2.5, Imagen 4, and Veo 3 models with context windows up to 2M tokens.

Operate the "Ethical Dilemma Navigation for multilingual translation services" capability in production for multilingual translation services workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.

Comprehensive guide for MultiPar CLI - PAR2 recovery file creation and verification tool. Use when creating redundancy archives, verifying file integrity, or repairing corrupted files. Triggers on: multipar, par2, recovery files, file verification, par2j, parity archive, data recovery, file repair.