# telnyx-rag

> Use this tool when you need to perform semantic searches or answer questions about content within your workspace files. It solves problems related to information retrieval and knowledge discovery by leveraging AI embeddings and Telnyx Storage. The tool takes in workspace files as input and outputs relevant search results or answers, making it ideal for use cases where quick access to specific information is crucial.

Canonical page: https://skillsregistry.net/skills/teamtelnyx-telnyx-rag  
JSON: https://api.skillsregistry.net/v1/skills/teamtelnyx-telnyx-rag

## Description

Semantic search and Q&A over workspace files using Telnyx Storage + AI embeddings.

## 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:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/teamtelnyx-telnyx-rag)

## 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": "teamtelnyx-telnyx-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teamtelnyx-telnyx-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teamtelnyx-telnyx-rag/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