# zerocontext

> zerocontext — ibrah5em-zerocontext. Use this tool when you need to streamline AI assistance for coding tasks by providing context-specific rules for the file being edited. It solves the problem of information overload by serving only relevant rules, just-in-time and per file, enhancing productivity and accuracy. Ideal for use with git, this tool optimizes AI support for developers working on specific files.

Canonical page: https://skillsregistry.net/skills/ibrah5em-zerocontext  
JSON: https://api.skillsregistry.net/v1/skills/ibrah5em-zerocontext

## Description

A local MCP server that serves your AI only the rules matching the file you're editing — just-in-time, per file.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **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/ibrah5em/zerocontext)

## 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": "ibrah5em-zerocontext"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ibrah5em-zerocontext` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ibrah5em-zerocontext/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