model-enhancement-servers

What problem does it solve?

This Skill guides the creation of Model Context Protocol (MCP) servers that enhance LLM reasoning by providing structured thinking frameworks, persistence, and workflow guidance. It helps overcome LLM limitations in memory, complex multi-step reasoning, and context window management.

Core Features & Use Cases

• Structured Journal Pattern: Enables models to track and persist reasoning steps, supporting non-linear thinking and scope adjustment.
• Literate Reasoning / Notebook Pattern: Provides a Jupyter-like interface for transparent, reproducible, and gated problem-solving workflows.
• Context Window Management: Offloads cognitive load by externalizing thinking processes, allowing the LLM to focus on the current step.
• Use Case: When designing an AI agent that needs to perform complex, multi-step analysis, maintain long-term memory, or follow a specific methodology (like the scientific method), use this skill to build a custom MCP server that provides the necessary cognitive scaffolding.

Quick Start

You: I need to build an MCP server to help Claude with long-term planning. Let's use the model-enhancement-servers skill.