# ijfw

> Use this tool when you need to streamline AI coding workflows and ensure consistency across multiple agents. It provides shared memory, smart routing, and disciplined workflow management, while also offering multi-AI audits for enhanced reliability. Ideal for projects requiring collaborative AI development, version control, and seamless integration with git.

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

## Description

One install. Shared memory, smart routing, disciplined workflow, multi-AI audits -- across every AI coding agent. No BS.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-05-01

## Source

- **Source listing:** [GitHub](https://github.com/TheRealSeanDonahoe/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": "therealseandonahoe-ijfw"
    }
  }
}
```

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