# io.factorguide/factorguide

> Use this tool when you need to optimize factorization strategies and classify zones based on complex coupling matrices. It solves problems related to data analysis and process optimization by providing zone classifications and optimal factorization strategies as output. Input a coupling matrix to receive tailored recommendations and improve overall system efficiency.

Canonical page: https://skillsregistry.net/skills/io-factorguide-factorguide  
JSON: https://api.skillsregistry.net/v1/skills/io-factorguide-factorguide

## Description

Decision intelligence oracle. Send a coupling matrix, get factorization strategy.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-07-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.factorguide%2Ffactorguide)
- **Repository:** <https://github.com/Bwana7/factorguide>

## 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": "io-factorguide-factorguide"
    }
  }
}
```

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