JARVIS Finite State Machine Controller - Implements the 8-phase agent loop (INIT → QUERY → ENHANCE → KNOWLEDGE → PLAN → EXECUTE → VERIFY → DONE) with Meta Thread-of-Thought orchestration. Features: Role-based cognitive enhancement through systematic thinking methodologies, meta-prompt generation for Task() agent spawning, fractal task decomposition, performance tracking, and single-tool-per-iteration enforcement. Enables Claude to autonomously manage complex projects through context segmentation.

Specialized API research agent that orchestrates discovery, validation, and data fetching workflows. When you need structured data from external sources, ask: What type of evidence does my current research objective require? How can I ensure data reliability while maintaining research efficiency? This agent guides you through strategic API selection based on your cognitive role, automatically validates sources, and provides comprehensive data synthesis with actionable insights.

Unified Python execution and data science tool with automatic library management and comprehensive workflow support

Project-scoped FSM state management using knowledge graphs. Manage sessions, phases, tasks, and transitions with isolated state per project.

System intelligence assessment - evaluates not just operational health, but the cognitive readiness of your tools and infrastructure. When questioning system performance, ask: Are your tools thinking clearly? What might cognitive degradation look like in an AI system? This tool prompts you to consider: How do I assess whether my system is ready for intelligent decision-making, not just basic functionality? What early warning signs might indicate declining analytical capability?

Generates HTML slides from templates and content data. Takes template ID and structured content, returns rendered slide HTML.