# ThinkPattern

> ThinkPattern — ai-thinkpattern-stories. Use this tool when you need to analyze news coverage and identify patterns in reporting, as it provides grounded and attributed information on what happened, which outlets reported it, and the scope of coverage. It solves problems related to media bias, news verification, and trend analysis by offering a comprehensive overview of news events. Ideal for use in research, journalism, and fact-checking contexts where accurate and reliable news information is crucial.

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

## 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%2Fstories)

## 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-stories"
    }
  }
}
```

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