# TabulaRAG

> Use this tool when you need to query and analyze tabular data using natural language, enabling AI assistants to provide accurate and cited answers from CSV/TSV files. It solves problems related to data accessibility and interpretation, supporting use cases such as data-driven decision making and research. Ideal for multi-tenant environments, it provides secure access control and semantic search capabilities.

Canonical page: https://skillsregistry.net/skills/angelafeliciaa-tabularag  
JSON: https://api.skillsregistry.net/v1/skills/angelafeliciaa-tabularag

## Description

Enables AI assistants to query tabular data (CSV/TSV) using natural language with cell-level citations, supporting multi-tenant workspaces, access control, and semantic search.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c46znr78qx)
- **Repository:** <https://github.com/angelafeliciaa/TabulaRAG>

## 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": "angelafeliciaa-tabularag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/angelafeliciaa-tabularag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/angelafeliciaa-tabularag/pull`

---
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