# ThinkPattern

> ThinkPattern — ai-thinkpattern-news. Use this tool when you need to analyze news coverage and identify patterns in reporting, as it provides grounded and attributed news information on what happened, which outlets reported it, and how many covered it, accepting news topics as input and outputting comprehensive coverage data. It solves problems related to media bias, news verification, and trend analysis. Ideal for use in research, journalism, and fact-checking contexts.

Canonical page: https://skillsregistry.net/skills/ai-thinkpattern-news  
JSON: https://api.skillsregistry.net/v1/skills/ai-thinkpattern-news

## Description

Grounded, attributed news: what happened, which outlets reported it, and how many covered it.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.thinkpattern%2Fnews)

## Use it

MCP endpoint published by the skill: `https://thinkpattern.ai/mcp`

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": "ai-thinkpattern-news"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-thinkpattern-news` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-thinkpattern-news/pull`

---
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