# Krill

> Use this tool when you need to efficiently manage and interact with your saved Twitter bookmarks. Krill solves the problem of information overload by providing a suite of 10 tools, including search, AI Q&A, and organization features, to help you find and utilize your bookmarked content. It accepts your saved Twitter bookmarks as input and outputs relevant information and insights through a user-friendly interface.

Canonical page: https://skillsregistry.net/skills/krillto-krill  
JSON: https://api.skillsregistry.net/v1/skills/krillto-krill

## Description

Search, organize, and chat with your saved Twitter/X bookmarks from any AI agent. 10 tools: search, AI Q&A, collections, notes, highlights, and more.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/krillto/krill)

## 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": "krillto-krill"
    }
  }
}
```

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