# iq

> iq — zsltg-iq. Use this tool when you need to efficiently query NoSQL databases with precision, selecting only the required keys to minimize scanning. It solves problems of slow query performance and excessive data retrieval by allowing you to run jq filters directly against your database. Ideal for use cases where targeted data extraction is necessary, it takes jq filters as input and outputs the selected data.

Canonical page: https://skillsregistry.net/skills/zsltg-iq  
JSON: https://api.skillsregistry.net/v1/skills/zsltg-iq

## Description

Run jq filters against NoSQL databases, the filter selects the keys, so it never scans more than you ask for.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/zsltg/iq)

## 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": "zsltg-iq"
    }
  }
}
```

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