multi-model-orchestration

What problem does it solve?

This Skill solves the challenge of leveraging the unique strengths of multiple AI models (Perplexity, GPT, Grok, Claude, Gemini) in a structured workflow. It eliminates the inefficiency of using a single model for all tasks, ensuring optimal performance for complex security research, competition execution, and strategic analysis.

Core Features & Use Cases

• Specialized Task Mapping: Assigns tasks like intelligence gathering (Perplexity), strategic planning (GPT), code generation (Claude), and security auditing (Gemini) to the best-suited model.
• GUI & API Workflows: Supports both manual handoffs between GUI models and automated API-based orchestration for flexibility and speed.
• Session Tracking: Utilizes context-pack.txt for consistent briefing and ops-log.md for a rolling transcript, ensuring continuity and debuggability across model interactions.
• Use Case: A researcher needs to develop a novel attack payload. This Skill guides them through using Perplexity for the latest intel, ChatGPT for strategy, Claude for payload code, and Gemini for a final security audit, dramatically increasing the quality and success rate of the payload.

Quick Start

Use the multi-model-orchestration skill to start a full 5-model workflow for a new security research task, beginning with Perplexity for intelligence gathering.