# infernoflow

> infernoflow — ronmiz-infernoflow. Use this tool when you need to capture and retain context and knowledge from AI coding sessions that goes beyond what can be inferred from code alone. Infernoflow solves the problem of persistent memory for AI agents, allowing for more effective collaboration and continuity. It integrates with popular AI coding tools like Copilot and Claude, and works seamlessly with git.

Canonical page: https://skillsregistry.net/skills/ronmiz-infernoflow  
JSON: https://api.skillsregistry.net/v1/skills/ronmiz-infernoflow

## Description

Persistent memory for AI coding sessions — captures what agents can't infer from code alone. Works with Copilot, Cursor, Claude, and Windsurf

## 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:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ronmiz/infernoflow)

## 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": "ronmiz-infernoflow"
    }
  }
}
```

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