# Astronomy Oracle

> Use this tool when you need to accurately plan and execute astronomy observing sessions, or access a vast catalog of deep-sky objects. The Astronomy Oracle solves problems related to astronomical object identification, observation planning, and calculation of celestial body positions. It takes object names, dates, and locations as input and outputs detailed observing plans, object coordinates, and timing information, making it ideal for astronomers and stargazers seeking reliable, network-independent calculations.

Canonical page: https://skillsregistry.net/skills/gh-gregario-astronomy-oracle  
JSON: https://api.skillsregistry.net/v1/skills/gh-gregario-astronomy-oracle

## Description

Accurate astronomical catalog data and observing session planning with ground-truth calculations. Provides access to 13,000+ deep-sky objects from the OpenNGC catalog including NGC, IC, Messier, and addendum objects. Features object lookup, catalog search, and observing session planning with deterministic astronomy calculations for Julian dates, sidereal time, altitude/azimuth conversion, and rise/transit/set times. All data bundled locally with zero network dependency.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-gregario-astronomy-oracle)
- **Repository:** <https://github.com/gregario/astronomy-oracle>

## 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": "gh-gregario-astronomy-oracle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-gregario-astronomy-oracle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-gregario-astronomy-oracle/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