# context-mode

> context-mode — mksglu-context-mode. Use this tool when you need to optimize context windows for AI coding agents, reducing output sandboxing by 98% and supporting 12 platforms, to improve coding efficiency and accuracy. It solves problems of excessive output and limited platform compatibility, providing a seamless interface for git integration. Ideal for use cases requiring streamlined AI coding workflows and multi-platform support.

Canonical page: https://skillsregistry.net/skills/mksglu-context-mode  
JSON: https://api.skillsregistry.net/v1/skills/mksglu-context-mode

## Description

Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and   enforces routing across 17 platforms via MCP + hooks.

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mksglu/context-mode)

## 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": "mksglu-context-mode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mksglu-context-mode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mksglu-context-mode/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