# ijfw

> ijfw — ferroxlabs-ijfw. Use this tool when you need to streamline AI coding workflows and ensure seamless collaboration between multiple AI agents. IJFW provides a local-first infrastructure with shared memory, smart routing, and cross-audits to solve problems of inefficient workflow management and AI agent integration. It accepts git inputs and is ideal for use cases requiring disciplined and auditable AI development workflows.

Canonical page: https://skillsregistry.net/skills/ferroxlabs-ijfw  
JSON: https://api.skillsregistry.net/v1/skills/ferroxlabs-ijfw

## Description

IJFW — It Just F*cking Works. Ferrox Labs' local-first infrastructure for AI coding agents: shared memory, smart routing, multi-AI cross-audits, disciplined workflow.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **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/FerroxLabs/ijfw)

## 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": "ferroxlabs-ijfw"
    }
  }
}
```

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