# Twig RAG Agents

> Use this tool when you need to enhance enterprise knowledge management and document retrieval workflows with production-grade RAG (Retrieve, Augment, Generate) agents. It solves problems related to information retrieval, question answering, and content generation, providing relevant inputs and outputs for various workflows. Ideal for use cases where efficient and accurate document retrieval and knowledge management are crucial, such as large-scale enterprises and organizations.

Canonical page: https://skillsregistry.net/skills/twig-rag-agents  
JSON: https://api.skillsregistry.net/v1/skills/twig-rag-agents

## Description

Production grade RAG agents provided by Twig for enterprise knowledge management and document retrieval workflows.

## 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:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/twig-rag-agents)

## 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": "twig-rag-agents"
    }
  }
}
```

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