# cks-studio

> cks-studio — punctumactus-cks-studio. Use this tool when you need to visually explore and interact with complex knowledge graphs, inspect inference chains, and monitor agent pipelines in the Canonical Knowledge Structure ecosystem. It solves problems related to knowledge management, data visualization, and pipeline monitoring, providing an intuitive interface for users to input queries and explore graph structures, with outputs including visualized graphs and pipeline metrics. Ideal for use cases involving knowledge discovery, data analysis, and pipeline optimization, particularly when working with cks-mcp and git version control.

Canonical page: https://skillsregistry.net/skills/punctumactus-cks-studio  
JSON: https://api.skillsregistry.net/v1/skills/punctumactus-cks-studio

## Description

Interactive visual workspace for the Canonical Knowledge Structure ecosystem. Explore graphs, inspect inference chains, review CRDT forks, and monitor agent pipelines — all connected to cks-mcp.

## Trust

- **Trust score (0–1):** 0.93
- **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/PunctumActus/cks-studio)

## 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": "punctumactus-cks-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/punctumactus-cks-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/punctumactus-cks-studio/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
