# uoink

> uoink — ryanbiddy-uoink. Use this tool when you need to organize and cite online content for AI model training, such as YouTube videos, social media posts, podcasts, and articles. It saves studied content to a local disk, creating a cited corpus that can be easily handed to AI agents like Claude, ChatGPT, Cursor, and Cline. This local-first approach solves data centralization and accessibility issues, providing a free and efficient way to manage content for AI model development.

Canonical page: https://skillsregistry.net/skills/ryanbiddy-uoink  
JSON: https://api.skillsregistry.net/v1/skills/ryanbiddy-uoink

## Description

Save the YouTube videos, X posts, podcasts, and articles you study to your own disk, then hand your AI a cited local corpus. Free, local-first MCP server + Chrome extension for Claude, ChatGPT, Cursor & Cline.

## Trust

- **Trust score (0–1):** 0.00
- **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/ryanbiddy/uoink)

## 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": "ryanbiddy-uoink"
    }
  }
}
```

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