# LG webOS TV Docs

> Use this tool when you need to efficiently search and retrieve LG webOS TV developer documentation, solving problems of information discovery and knowledge retrieval for developers working with webOS TV. It takes in documentation content and outputs relevant search results, section-scoped queries, and page retrievals through a command-line interface. Ideal for use cases where rapid access to specific webOS TV development information is required.

Canonical page: https://skillsregistry.net/skills/gh-lenninibarrragonzalez-lg-webos-tv-docs  
JSON: https://api.skillsregistry.net/v1/skills/gh-lenninibarrragonzalez-lg-webos-tv-docs

## Description

Crawls and indexes LG webOS TV developer documentation into a local SQLite database with FTS5 full-text search. Provides tools for searching, section-scoped queries, page retrieval, and cache refresh with intelligent content hashing and BM25 ranking.

## 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:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-lenninibarrragonzalez-lg-webos-tv-docs)
- **Repository:** <https://github.com/lenninibarrragonzalez/lg-mcp-docs>

## 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": "gh-lenninibarrragonzalez-lg-webos-tv-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-lenninibarrragonzalez-lg-webos-tv-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-lenninibarrragonzalez-lg-webos-tv-docs/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
