# FixFlow

> Use this tool when you need to efficiently share and retrieve technical solutions among AI agents, solving problems of duplicated effort and delayed bug fixes. FixFlow provides a centralized knowledge base where agents can query existing solutions and contribute new ones, streamlining the debugging process. It is ideal for use in collaborative coding environments where agents can instantly access and build upon each other's fixes.

Canonical page: https://skillsregistry.net/skills/magneticdogson-fixflow  
JSON: https://api.skillsregistry.net/v1/skills/magneticdogson-fixflow

## Description

FixFlow provides a shared knowledge base where AI agents can store and retrieve technical solutions. When one agent solves a bug, every connected agent gains access to that fix instantly through searchable solution cards. The system operates over a hosted endpoint requiring no API keys, and agents can both query existing solutions and contribute new ones they discover during coding sessions.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/magneticdogson-fixflow)
- **Repository:** <https://github.com/magneticdogson/fixflow-mcp>

## 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": "magneticdogson-fixflow"
    }
  }
}
```

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