# ruleforge

> ruleforge — orkhanshirin-ruleforge. Use this tool when you need to automate the generation of modular Cursor rules (.mdc) by inferring stack, layout, and style signals. It solves problems of manual rule creation and inconsistency, providing a streamlined workflow through its CLI and local MCP interface. Inputting your existing codebase and configuration, Ruleforge outputs optimized .mdc files, ideal for use in git version-controlled projects.

Canonical page: https://skillsregistry.net/skills/orkhanshirin-ruleforge  
JSON: https://api.skillsregistry.net/v1/skills/orkhanshirin-ruleforge

## Description

CLI & local MCP tool that infers stack, layout, and style signals to generate modular Cursor rules (.mdc).

## Trust

- **Trust score (0–1):** 0.90
- **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/orkhanshirin/ruleforge)

## 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": "orkhanshirin-ruleforge"
    }
  }
}
```

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