# graphiti

> graphiti — emasoudy-graphiti. Use this tool when you need to perform knowledge graph operations, such as creating, querying, and manipulating graph data, to solve problems related to data integration, entity disambiguation, and relationship analysis. It provides a Graphiti API interface for inputs and outputs, allowing for seamless interaction with knowledge graphs. Ideal for use cases involving complex data relationships and semantic search, where structured data needs to be queried and reasoned upon.

Canonical page: https://skillsregistry.net/skills/emasoudy-graphiti  
JSON: https://api.skillsregistry.net/v1/skills/emasoudy-graphiti

## Description

Knowledge graph operations via Graphiti API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/emasoudy-graphiti)

## 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": "emasoudy-graphiti"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emasoudy-graphiti` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emasoudy-graphiti/pull`

---
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