# io.github.standardbeagle/dart-query

> Use this tool when you need to manage AI tasks efficiently, leveraging batch operations and DartQL selectors to streamline workflows. It solves problems related to task organization, data import, and context management, accepting inputs such as CSV files and producing organized task outputs. Ideal for use cases requiring automated task batching and querying, this tool provides a robust interface for AI task management.

Canonical page: https://skillsregistry.net/skills/io-github-standardbeagle-dart-query  
JSON: https://api.skillsregistry.net/v1/skills/io-github-standardbeagle-dart-query

## Description

Dart AI task management MCP with batch operations, DartQL selectors, CSV import, zero context rot

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.3.5
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.standardbeagle%2Fdart-query)
- **Repository:** <https://github.com/standardbeagle/dart-query>

## 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": "io-github-standardbeagle-dart-query"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-standardbeagle-dart-query` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-standardbeagle-dart-query/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