autoresearch-v2

What problem does it solve?

This Skill streamlines the process of generating, testing, and refining scientific hypotheses through autonomous cycle management and formal verification techniques.

Core Features & Use Cases

• Hypothesis Generation and Tracking: Creates and maintains a formal ledger of conjectures and falsifications.
• Automated Parameter Sweeps: Performs large-scale empirical searches over model parameters and data configurations.
• Formal Verification: Implements algebraic and number-theoretic proofs to confirm or refute conjectures.
• Use Case: Researchers exploring generalized mathematical maps can use this Skill to automatically produce and verify cycle counts, residue-class properties, and structural classifications at scale.

Quick Start

Request the AI to analyze a specific parameter family by asking it to generate hypotheses about cycle counts in the given map.