# ga-bagua-semantic-kg

> ga-bagua-semantic-kg — trac41799-ga-bagua-semantic-kg. Use this tool when you need to integrate geometric algebra and I-Ching Bagua taxonomy into a semantic knowledge graph, enabling advanced semantic memory capabilities for large language models. It solves problems related to knowledge representation, taxonomy, and semantic reasoning, providing a unique interface for inputs such as geometric algebra expressions and outputs like structured knowledge graphs. Ideal for use cases requiring complex semantic relationships and taxonomy-based reasoning.

Canonical page: https://skillsregistry.net/skills/trac41799-ga-bagua-semantic-kg  
JSON: https://api.skillsregistry.net/v1/skills/trac41799-ga-bagua-semantic-kg

## Description

GA-Bagua Semantic KG: LLM semantic memory layer using Geometric Algebra and I-Ching Bagua taxonomy

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/trac41799/ga-bagua-semantic-kg)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "trac41799-ga-bagua-semantic-kg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trac41799-ga-bagua-semantic-kg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trac41799-ga-bagua-semantic-kg/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt