What problem does it solve?
This Skill helps agents reason more reliably by managing context, recalling relevant experiences, and estimating confidence when evidence is incomplete or noisy.
Core Features & Use Cases
- Structured reasoning: Supports chain-of-thought, tree-of-thought, and self-consistency workflows for complex problem solving.
- Memory management: Maintains working, episodic, and semantic memory to preserve useful context across turns and sessions.
- Attention and belief updates: Scores relevance, weights salient information, and updates beliefs using Bayesian primitives.
- Use case: An agent can summarize a long conversation, retrieve related prior facts from memory, and decide how confident it should be before responding.
Quick Start
Use the cognitive skill to summarize the current conversation, retrieve relevant prior memories, and return a confidence estimate for the answer.