# kameleondb

> Use this tool when you need to store and query structured data without predefined schemas, ideal for handling dynamic or evolving data models. Kameleondb solves problems related to data flexibility and adaptability, allowing for efficient querying of structured data without upfront schema planning. It accepts dynamic data inputs and provides query outputs, making it suitable for use cases with frequently changing data structures.

Canonical page: https://skillsregistry.net/skills/marcosnataqs-kameleondb  
JSON: https://api.skillsregistry.net/v1/skills/marcosnataqs-kameleondb

## Description

Store and query structured data without planning schemas upfront.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/marcosnataqs-kameleondb)

## 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": "marcosnataqs-kameleondb"
    }
  }
}
```

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