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astropy

Use Astropy core for astronomy units, coordinates, times, tables, FITS/WCS files, modeling, statistics, visualization, cosmology, configuration, and public CLIs.

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설치 방법 보기

포함된 파일(40)

  • SKILL.md4.9 KB
  • references/package-overview.md3.4 KB
  • references/repo-provenance.md2.1 KB
  • references/repo-routing-metadata.json329 B
  • references/troubleshooting.md3.4 KB
  • scripts/astropy_cli_smoke.py3.5 KB
  • scripts/astropy_smoke.py4.3 KB
  • sub-skills/cli-config-data/references/cli-reference.md1.5 KB
  • sub-skills/cli-config-data/references/operations.md1.5 KB
  • sub-skills/cli-config-data/references/troubleshooting.md1.6 KB
  • sub-skills/cli-config-data/SKILL.md3.3 KB
  • sub-skills/cosmology/references/api-reference.md1.5 KB
  • sub-skills/cosmology/references/troubleshooting.md1.2 KB
  • sub-skills/cosmology/references/workflows.md1.5 KB
  • sub-skills/cosmology/SKILL.md2.7 KB
  • sub-skills/modeling-stats-timeseries/references/api-reference.md1.8 KB
  • sub-skills/modeling-stats-timeseries/references/troubleshooting.md1.6 KB
  • sub-skills/modeling-stats-timeseries/references/workflows.md1.8 KB
  • sub-skills/modeling-stats-timeseries/SKILL.md3.0 KB
  • sub-skills/tables-io/references/api-reference.md2.1 KB
  • sub-skills/tables-io/references/formats-and-cli.md1.6 KB
  • sub-skills/tables-io/references/troubleshooting.md1.6 KB
  • sub-skills/tables-io/references/workflows.md2.0 KB
  • sub-skills/tables-io/SKILL.md3.3 KB
  • sub-skills/time-coordinates/references/api-reference.md2.0 KB
  • sub-skills/time-coordinates/references/troubleshooting.md1.7 KB
  • sub-skills/time-coordinates/references/workflows.md2.0 KB
  • sub-skills/time-coordinates/SKILL.md3.2 KB
  • sub-skills/units-constants/references/api-reference.md2.4 KB
  • sub-skills/units-constants/references/troubleshooting.md1.6 KB
  • sub-skills/units-constants/references/workflows.md1.8 KB
  • sub-skills/units-constants/SKILL.md3.5 KB
  • sub-skills/visualization-convolution/references/api-reference.md1.9 KB
  • sub-skills/visualization-convolution/references/troubleshooting.md1.5 KB
  • sub-skills/visualization-convolution/references/workflows.md1.8 KB
  • sub-skills/visualization-convolution/SKILL.md3.2 KB
  • sub-skills/wcs-nddata/references/api-reference.md1.8 KB
  • sub-skills/wcs-nddata/references/troubleshooting.md1.8 KB
  • sub-skills/wcs-nddata/references/workflows.md1.7 KB
  • sub-skills/wcs-nddata/SKILL.md8.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Astropy Repo Skill

Use this skill when a task needs the Astropy core Python package for astronomy or astrophysics analysis. Astropy is a CPU scientific-Python library; selected workflows do not require GPU or accelerator backends. Use an installed Astropy package and the bundled references/scripts here rather than reopening the source repository.

Fast Start

import astropy
from astropy import units as u
print(astropy.__version__)
print((42 * u.km / u.s).to(u.m / u.s))

If plotting, fitting, convolution FFT paths, or common dataframe bridges are needed, prefer installing the common optional set:

python -m pip install "astropy[recommended]"

Use astropy[all] only for broad optional integrations such as HDF5, Parquet, S3/fsspec, Jupyter, or additional astronomy packages.

Route by Task

Shared References and Scripts

Operating Rules

  1. Keep units attached until a non-Astropy API requires raw arrays; then use .to_value(unit) and record the unit.
  2. Be explicit about format=, scale=, frame=, unit=, origin=, and format names for I/O to avoid silent guessing.
  3. Use temporary files for smoke checks and never mutate user FITS/table files unless the user explicitly requested that exact operation.
  4. For offline or reproducible tasks, disable or control remote downloads before coordinate/time/IERS/name-resolution operations.
  5. Validate scientific transformations numerically: unit round-trips, pixel/world round-trips, table read/write round-trips, fit residuals, or cosmology unit checks.
  6. Route optional dependency errors to the nearest sub-skill first, then to the root troubleshooting reference for install-level decisions.

Do Not Use This Skill For

  • General NumPy/Pandas data processing without Astropy APIs, astronomy formats, units, times, or coordinates.
  • Maintaining the Astropy repository, release engineering, CI, or documentation build workflows.
  • Running broad Astropy test suites or benchmarks as a substitute for a focused user workflow.
  • SAMP services, remote data downloads, or file-mutating CLI operations without explicit user approval and bounded temporary-file safeguards.

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