# KGFlow

> KGFlow — dying-ember-kgflow. Use this tool when you need to streamline your development workflow by analyzing code and orchestrating multiple agents, leveraging a Neo4j-based knowledge graph to optimize collaboration and productivity. It solves problems related to code complexity, team coordination, and project management, accepting git repositories as input and providing actionable insights as output. Ideal for large-scale software development projects, KGFlow enhances code analysis and automation capabilities.

Canonical page: https://skillsregistry.net/skills/dying-ember-kgflow  
JSON: https://api.skillsregistry.net/v1/skills/dying-ember-kgflow

## Description

Knowledge Graph Assisted Development Workflow — Neo4j-based code   analysis toolkit with multi-agent orchestration

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Dying-Ember/KGFlow)

## 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": "dying-ember-kgflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dying-ember-kgflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dying-ember-kgflow/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