# astro-orchestra

> Use this tool when you need to streamline astronomy research by automating access to astronomical data tools and performing complex analysis. The astro-orchestra tool takes in research queries and parameters as input, and outputs analyzed data, simulated models, and relevant literature reviews. It solves problems of data fragmentation, analysis complexity, and literature overload in astronomy research, enabling faster and more accurate discoveries.

Canonical page: https://skillsregistry.net/skills/sandyyuan-astro-orchestra  
JSON: https://api.skillsregistry.net/v1/skills/sandyyuan-astro-orchestra

## Description

Enables astronomy research by orchestrating specialized agents to access astronomical data tools (DESI, LSST, etc.) and perform analysis, simulations, and literature review.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/opclaq8rhu)
- **Repository:** <https://github.com/SandyYuan/astro-orchestra>

## 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": "sandyyuan-astro-orchestra"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandyyuan-astro-orchestra` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandyyuan-astro-orchestra/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