# context-viz

> context-viz — furukama-context-viz. Use this tool when you need to visualize and understand the current context window usage, including token estimates per component. It solves problems related to optimizing context window allocation and identifying areas of high token usage, such as system prompts, tools, and workspace files. The tool provides a clear interface for inputting context window data and outputs a visual representation of token estimates for informed decision-making.

Canonical page: https://skillsregistry.net/skills/furukama-context-viz  
JSON: https://api.skillsregistry.net/v1/skills/furukama-context-viz

## Description

Visualize the current context window usage — token estimates per component (system prompt, tools, workspace files.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/furukama-context-viz)

## 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": "furukama-context-viz"
    }
  }
}
```

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