How does this skill assist with MCP development?

The skill indexes various MCP server implementations (like the OCaml SDK and Babashka server), giving Claude concrete reference patterns for building more robust and diverse MCP tools.

What is the primary purpose of the bmorphism-stars skill?

It provides Claude with a specialized knowledge base of high-quality, curated repositories focusing on advanced technical domains like Category Theory, functional programming, and the Model Context Protocol.

Does this skill only cover Julia and OCaml?

No, while it has strong focuses there, it also covers Haskell, Emacs Lisp, distributed systems testing (Jepsen), and Web3/cryptography infrastructure.

What is 'applied category theory' in this context?

It refers to the use of formal mathematical structures from category theory to solve software engineering problems, such as knowledge representation, diagrammatic reasoning, and architectural composition.

Bmorphism Stars & Repos Index

Name: Bmorphism Stars & Repos Index
Author: plurigrid

byplurigrid

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Learning & Documentation

Provides a curated index of high-quality repositories focused on applied category theory, Model Context Protocol (MCP) servers, and advanced scientific computing.

About

This skill serves as a specialized knowledge base and directory of cutting-edge software development patterns, specifically curated from the extensive GitHub profile of bmorphism. It offers Claude quick access to a high-signal library of resources including OCaml SDKs for MCP, anti-epistemological analysis tools, and formal mathematical structures. It is particularly useful for developers looking for sophisticated implementation patterns in distributed systems, AI safety, and functional programming that deviate from mainstream, less-rigorous approaches.

Key Features

Deep resources for Applied Category Theory (ACT) and formal mathematical computing.
Extensive index of Model Context Protocol (MCP) server implementations and SDKs.
Structural classification of repositories into Foundational, Infrastructure, and Application tiers.
Curated directory of over 2,100 high-signal repositories across niche technical domains.
Categorized tooling for Julia scientific computing, Emacs extensions, and Web3 infrastructure.
2 GitHub stars

Use Cases

Discovering reference implementations for Model Context Protocol (MCP) servers in OCaml, Clojure, and Python.
Finding high-performance Julia packages for automatic differentiation, uncertainty propagation, and scientific modeling.
Researching applied category theory libraries and formal methods for software verification and knowledge graphing.

About

Key Features

Deep resources for Applied Category Theory (ACT) and formal mathematical computing.
Extensive index of Model Context Protocol (MCP) server implementations and SDKs.
Structural classification of repositories into Foundational, Infrastructure, and Application tiers.
Curated directory of over 2,100 high-signal repositories across niche technical domains.
Categorized tooling for Julia scientific computing, Emacs extensions, and Web3 infrastructure.
2 GitHub stars

Use Cases

Discovering reference implementations for Model Context Protocol (MCP) servers in OCaml, Clojure, and Python.
Finding high-performance Julia packages for automatic differentiation, uncertainty propagation, and scientific modeling.
Researching applied category theory libraries and formal methods for software verification and knowledge graphing.