# bookmark-intelligence

> bookmark-intelligence — bkrigmo1-bookmark-intelligence. Use this tool when you need to extract valuable information from a collection of bookmarks, turning them into actionable insights to inform decision-making or optimize online resources. It solves problems related to information overload, disorganization, and knowledge discovery, providing a concise output of relevant data from a large set of bookmarks. The tool takes in a set of bookmarks (X) and outputs actionable insights, making it ideal for users seeking to maximize the value of their online bookmarks.

Canonical page: https://skillsregistry.net/skills/bkrigmo1-bookmark-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/bkrigmo1-bookmark-intelligence

## Description

Turns X bookmarks into actionable insights.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/bkrigmo1-bookmark-intelligence)

## 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": "bkrigmo1-bookmark-intelligence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bkrigmo1-bookmark-intelligence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bkrigmo1-bookmark-intelligence/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