How does this skill help with MCP integration?

It provides specific YAML examples and workflow patterns showing how to use the Model Context Protocol to connect NovaNet's knowledge graph to Nika's execution engine.

What is the SuperNovae Brain + Body model?

It is an architectural pattern where NovaNet serves as the 'Brain' (storing knowledge and context), Nika acts as the 'Body' (executing workflows and actions), and SPN acts as the 'Conductor' (managing secrets and configuration).

What is 'Token-Aware Context' in SuperNovae?

It is a principle where NovaNet assembles exactly the right amount of relevant context (entities, SEO keywords, and locale data) within a specific token budget to optimize LLM performance.

Does SuperNovae support multi-language content?

Yes, the architecture follows a 'Generation, Not Translation' approach, where locale-specific nodes are generated directly from entity definitions rather than being translated from a source language.

SuperNovae Ecosystem Architecture

Name: SuperNovae Ecosystem Architecture
Author: supernovae-st

bysupernovae-st

0•

生産性とワークフロー

Explains the integrated Brain-Body-Conductor architecture of the SuperNovae AI system for seamless workflow orchestration.

The SuperNovae Ecosystem Architecture skill provides a comprehensive guide to how SPN (Conductor), Nika (Body), and NovaNet (Brain) function as a unified AI system. It details the Model Context Protocol (MCP) integration, content generation data flows, and the separation of concerns between knowledge storage, workflow execution, and secret management. This skill is essential for developers who need to understand how context is assembled, how schemas are enforced, and how to maintain the virtuous cycle of data growth and generation quality within the SuperNovae framework.

主な機能

01Outlines the 'Generation, Not Translation' design principle

02Maps component responsibilities for SPN, Nika, and NovaNet

03Visualizes the Brain-Body-Conductor architecture model

04Details MCP protocol integration for tool orchestration

050 GitHub stars

06Explains token-aware context assembly for LLMs

ユースケース

01Designing complex data flows between graph databases and LLM agents

02Onboarding developers to the SuperNovae AI development workflow

03Architecting new MCP-based tools and services within the ecosystem

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add supernovae-st/claude-code-supernovae 03-architecture

For use in Claude.ai and ChatGPT

主な機能

01Outlines the 'Generation, Not Translation' design principle

02Maps component responsibilities for SPN, Nika, and NovaNet

03Visualizes the Brain-Body-Conductor architecture model

04Details MCP protocol integration for tool orchestration

050 GitHub stars

06Explains token-aware context assembly for LLMs

ユースケース

01Designing complex data flows between graph databases and LLM agents

02Onboarding developers to the SuperNovae AI development workflow

03Architecting new MCP-based tools and services within the ecosystem

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add supernovae-st/claude-code-supernovae 03-architecture

For use in Claude.ai and ChatGPT