# pattern-finder

> pattern-finder — leegitw-pattern-finder. Use this tool when you need to identify commonalities between two sources, such as texts or datasets, to extract valuable insights or patterns. The pattern-finder analyzes input data from two sources and outputs the shared patterns or signals, helping to solve problems like data comparison, information retrieval, and trend analysis. It is particularly useful in contexts where extracting meaningful relationships or consensus between different data points is crucial.

Canonical page: https://skillsregistry.net/skills/leegitw-pattern-finder  
JSON: https://api.skillsregistry.net/v1/skills/leegitw-pattern-finder

## Description

Discover what two sources agree on — find the signal.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/leegitw-pattern-finder)

## 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": "leegitw-pattern-finder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leegitw-pattern-finder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leegitw-pattern-finder/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