# error2fix

> Use this tool when you need to quickly identify and resolve coding errors, as it provides compressed failure context via Model-based Compression Protocol (MCP), reducing the need to parse full raw logs and streamlining the debugging process with concise input and actionable output. It solves problems related to log analysis and error resolution, saving time and resources. Ideal for use cases where rapid error identification and fixing are crucial, such as in agile development environments or real-time system monitoring.

Canonical page: https://skillsregistry.net/skills/grammac1-error2fix  
JSON: https://api.skillsregistry.net/v1/skills/grammac1-error2fix

## Description

Provides coding agents with compressed failure context via MCP, reducing the need to parse full raw logs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sm54m2menq)
- **Repository:** <https://github.com/GRAMMAC1/error2fix>

## 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": "grammac1-error2fix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grammac1-error2fix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grammac1-error2fix/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