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SkillsMP は arm2arm/AstroAgentAssistant から 184 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
arm2arm/AstroAgentAssistant収集済み skill 184 件中 40 件を表示しています。
Query the RAVE DR6 catalog hosted at https://www.rave-survey.org/tap/ using pyvo (TAPService.run_sync). Useful for accessing stellar parameters, Gaia cross-matches, distances, and Galactic coordinates (l, b). Includes galactic projection (xgal/ygal) and…
原文の言語: 英語
Use when astronomy data lives in public or S3-compatible object storage as Parquet/HDF5/FITS-like products and the task needs endpoint probing, anonymous/credentialed access, Dask-first reads, local caching, column projection, sampling, or REANA-safe…
原文の言語: 英語
Cache selected columns from the ShBoost 2024 S3 dataset, create a hexbin CMD with log-scaled density, add optimized non‑overlapping stellar‑population annotations, and generate both a high‑resolution PNG and an MP4 animation.
原文の言語: 英語
Generates a colour‑magnitude diagram (CMD) for ~100 k stars from the public shboost2024 S3 bucket. The script caches the sampled data locally as a Parquet file for fast repeat runs and outputs a high‑resolution PNG (300 dpi).
原文の言語: 英語
Generate a high‑resolution density CMD (hexbin) from the ShBoost star dataset, cache locally as Parquet, add colour‑matched population annotations, a detailed legend, log‑scaled colour bar, and create a GIF animation cycling through population labels.
原文の言語: 英語
Generate a full‑dataset colour‑magnitude diagram (CMD) for the ShBoost 2024 star catalog using Dask and Datashader, optimized for minimal memory usage.
原文の言語: 英語
Plot a sampled subset of the ShBoost 2024 star dataset stored on a public S3 bucket.
原文の言語: 英語
Plot a colour-magnitude diagram from the public SHBoost 2024 S3 parquet dataset using the notebook-backed access pattern and a REANA-friendly serial workflow.
原文の言語: 英語
Generate colour-magnitude diagrams from SHboost24 data using local Parquet caching and agreed plotting conventions.
原文の言語: 英語
Exact symbolic + numeric math with sympy/mpmath — derive formulas, evaluate constants, propagate errors, convert units. Use for ANY multi-step arithmetic or algebra instead of mental math.
原文の言語: 英語
Generate astronomy colour-magnitude diagrams in Python with reproducible plotting choices.
原文の言語: 英語
Sample or reduce massive Parquet datasets on S3 using local Parquet caching, Dask-first processing for large inputs, and hvPlot/Datashader for scalable scientific visualization.
原文の言語: 英語
Search and retrieve academic papers from arXiv using the free REST API. Query by keyword, author, category, or paper ID. Fetch abstracts, full PDFs, generate BibTeX, and explore citations via Semantic Scholar.
原文の言語: 英語
J-UBIK (JAX-accelerated Universal Bayesian Imaging Kit) + NIFTy 9.x re API for variational inference.
原文の言語: 英語
Use when operating REANA from natural language: check job status, list available backends, show recent jobs by status, scaffold reana.yaml projects, run code as REANA workflows, inspect logs, validate YAML, and download outputs using REANA_SERVER_URL and…
原文の言語: 英語
Use when turning astronomy catalog data into reproducible cached products and publication-ready plots, especially CMDs, RA/Dec maps, Galactic projections, hexbin density plots, Datashader outputs, and provenance-backed figure deliverables.
原文の言語: 英語
Use when an astronomy task needs data access and the agent must choose between TAP/ADQL/pyvo catalogs, Gaia@AIP REST/Daiquiri, S3/Parquet object storage, local StarHorse-style datasets, plotting/cache workflows, or REANA execution.
原文の言語: 英語
Step‑by‑step workflow to query the RAVE DR6 catalog for the 100 nearest stars (by parallax), process the data, generate 2‑D visualisations and a public‑talk‑ready 3‑D rotating animation using Matplotlib.
原文の言語: 英語
Generate a public‑talk‑ready 3‑D animation of the 100 nearest RAVE DR6 stars using matplotlib.
原文の言語: 英語
Query the 100 nearest RAVE DR6 stars and generate two clear PNG plots: Galactic projection and RA/Dec scatter, with reproducible local parquet output.
原文の言語: 英語
Turn a nearest-100 RAVE DR6 query into dark-theme, public-talk-ready PNG visualizations with clear titles, readable scaling, and presentation-friendly styling.
原文の言語: 英語
Retrieve the most recent 100 entries from the RAVE DR6 `dr6_obsdata` table and generate a simple RA‑Dec scatter plot. Handles missing Python dependencies, installs them if necessary, and falls back to astropy for galactic coordinates if needed.
原文の言語: 英語
Use when querying astronomy TAP services with ADQL through pyvo or curl, including service probes, metadata discovery, TOP-based queries, VOTable/FITS conversion, pandas/Parquet caching, and robust network fallbacks.
原文の言語: 英語
Generate density plots (CMD, hexbin, 2D histograms) using datashader 0.19.0 with Dask for lazy data loading and matplotlib for final rendering. Handles the 0.19.0 API: no Canvas.hexbin(), no tf.to_rgba(), tf.shade() returns Image.to_pil().
原文の言語: 英語
Build scalable scientific plots from large tabular datasets using Dask for processing, hvPlot for plotting, and Datashader for dense large-data rendering.
原文の言語: 英語
Access HDF5 files stored on S3 by creating a reliable local cache first, extracting reusable subsets, and converting repeated tabular work products to local Parquet.
原文の言語: 英語
Efficiently sample a subset of a massive Parquet dataset stored on an S3‑compatible bucket, cache the sampled rows locally as a Parquet file for fast reuse, and produce high‑resolution PNG plots suitable for analysis and publication.
原文の言語: 英語
Create a REANA workflow that runs a large S3 Parquet data plot using an external Python script. The script is stored as a separate file and referenced in the workflow inputs. This avoids inline script blocks that cause YAML parsing errors.
原文の言語: 英語
REANA workflow that caches a large S3 Parquet dataset and plots bprp0 vs mg0 as a hex‑bin PNG.
原文の言語: 英語
Reusable template for REANA serial workflows that run a Python analysis script on remote data, cache processed results locally as Parquet, and produce PNG outputs. Designed for SHBoost-like analyses where only the script, selected columns, and output names…
原文の言語: 英語
Run SHboost24 plotting and sampling workflows on REANA with cached parquet inputs and explicit script packaging.
原文の言語: 英語
Use when a REANA workflow operation needs a robust client launcher: prefer native reana-client when installed, automatically fall back to Dockerized reanahub/reana-client when native client is missing, verify Docker availability, preserve environment-based…
原文の言語: 英語
Configure REANA client authentication with multi-profile `.reana/config.yaml` or `~/.reana/config.yaml`, store tokens safely, and select dev/prod back-ends reproducibly.
原文の言語: 英語
Generate an MP4 animation of sine (green) and cosine (red) curves using matplotlib for frame rendering and ffmpeg for encoding. The skill avoids privileged operations and destructive commands.
原文の言語: 英語
Create a short Manim animation that explains the 4MOST spectrograph for 11th‑grade physics classes. Includes installation, script writing, rendering, common pitfalls, and fallback to external video.
原文の言語: 英語
Generates a 60-90s educational animation of the 4MOST spectrograph on the VISTA 4-m telescope using Manim Community Edition. Follows a schematic-first workflow: static matplotlib plot for review, then Manim animation. Includes tilting-spine fibres, three…
原文の言語: 英語
Automated workflow to generate a short fractal showcase video with a synthetic fast‑paced EDM soundtrack, including Seahorse and Elephant valley visual elements.
原文の言語: 英語
Generate a short Manim video showcasing famous fractals (Mandelbrot set, Sierpinski triangle, Barnsley fern, Barnsley elephant) and add a simple background music track. The process includes on‑the‑fly generation of fractal PNGs using matplotlib, assembling…
原文の言語: 英語
Create a high‑energy fractal showcase video with a synthetic EDM soundtrack, including custom Seahorse and Elephant‑jet visuals, a slow zoom, and final audio‑video merge.
原文の言語: 英語
Create a concise Manim animation explaining galaxy formation for 11th‑grade students. Includes best‑practice steps, common pitfalls, and reusable code snippets.
原文の言語: 英語