# autonomous-graph-engineering

> autonomous-graph-engineering — orperelman123-autonomous-graph-engineering. Use this tool when you need to refine prompts and orchestrate graphs for AI coding models like Codex, Claude Code, Cursor, and GitHub Copilot, to improve code generation and automation. It solves problems of inefficient or unrefined prompts, and provides a permission-safe interface for inputting prompts and outputting optimized code. Ideal for use cases involving automated coding, code review, and version control with git.

Canonical page: https://skillsregistry.net/skills/orperelman123-autonomous-graph-engineering  
JSON: https://api.skillsregistry.net/v1/skills/orperelman123-autonomous-graph-engineering

## Description

Permission-safe prompt refinement and bounded graph orchestration for Codex, Claude Code, Cursor, and GitHub Copilot.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/orperelman123/autonomous-graph-engineering)

## 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": "orperelman123-autonomous-graph-engineering"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orperelman123-autonomous-graph-engineering` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orperelman123-autonomous-graph-engineering/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