# katachi-gen

> katachi-gen — jmsaavedra-katachi-gen. Use this tool when you need to analyze sentiment and curate on-chain art, generating unique origami outputs with three.js. It solves problems of automated art curation and sentiment analysis, providing a server and app interface for inputting AI models and outputting generative art. Ideal for blockchain-based art projects, katachi-gen streamlines the process of creating dynamic, AI-driven art pieces.

Canonical page: https://skillsregistry.net/skills/jmsaavedra-katachi-gen  
JSON: https://api.skillsregistry.net/v1/skills/jmsaavedra-katachi-gen

## Description

MCP server and app for AI sentiment analysis and on-chain art curation with three.js generative origami output.

## Trust

- **Trust score (0–1):** 0.06
- **Verification tier:** scanned
- **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/jmsaavedra/katachi-gen)

## 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": "jmsaavedra-katachi-gen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmsaavedra-katachi-gen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmsaavedra-katachi-gen/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