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Use when the user mentions 'ADS', 'NASA ADS', 'Astrophysics Data System', or asks to search astronomy/astrophysics literature, find papers by bibcode, get citation counts from ADS, or retrieve BibTeX from the ADS database.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Flag anomalies and outliers in data using Bayesian inference. Use when the user asks to "flag the anomalies in this data", "which points are outliers", "find the anomalies", "flag outliers", "clean my data of outliers", "detect anomalies", "robust fit ignoring outliers", "mitigate RFI", "handle contaminated data", "anomaly detection", "outlier detection", or mentions flagging bad data points, anomaly-corrected likelihood, or epsilon mask.
Use this skill when the user asks to "create corner plots", "visualize posteriors", "plot chains", "analyze nested sampling output", "plot marginal distributions", "compare prior and posterior", "make triangle plots", or work with posterior samples from PolyChord, MultiNest, UltraNest, Cobaya, or other Bayesian inference tools. Provides complete guidance for creating publication-quality posterior visualizations from nested sampling or MCMC chains.
Guide for creating effective skills for fundamental physics research. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized scientific knowledge, research workflows, or physics tool integrations.
JAX-accelerated supernova bandflux calculation for light curve modeling. Use when the user asks to "compute bandflux", "calculate supernova flux", "fit light curves with JAX", "use SALT3 model", "create custom SED model", "set up supernova likelihood", or mentions jax-bandflux, SALT3Source, TimeSeriesSource, or supernova photometry. Provides installation guidance, synthetic data generation, and likelihood templates for SALT3 and custom SED models.
Use when the user mentions 'GWOSC', 'gravitational waves', 'LIGO', 'Virgo', or asks to find gravitational wave events, get event parameters, or download strain data. GWOSC provides open data from gravitational wave detectors.
Use when the user mentions 'HEPData' or asks to find experimental data, download data tables from HEP papers, get digitized plots, or retrieve cross-section measurements. HEPData contains data points behind figures in high-energy physics publications.
| name | ads |
| description | Use when the user mentions 'ADS', 'NASA ADS', 'Astrophysics Data System', or asks to search astronomy/astrophysics literature, find papers by bibcode, get citation counts from ADS, or retrieve BibTeX from the ADS database. |
Search and retrieve papers from NASA's Astrophysics Data System (ADS).
Requires: requests (pip install requests)
ADS requires an API token for authentication.
Save your token in one of these locations:
Option 1: Config file (recommended)
mkdir -p ~/.ads
echo "YOUR_TOKEN_HERE" > ~/.ads/dev_key
chmod 600 ~/.ads/dev_key
Option 2: Environment variable
export ADS_DEV_KEY="YOUR_TOKEN_HERE"
ADS uses bibcodes as unique identifiers:
YYYYJJJJJVVVVMPPPPA2019ApJ...882L..12P (ApJ Letters, 2019)# Get a record by bibcode
python scripts/ads.py 2019ApJ...882L..12P
# Get BibTeX
python scripts/ads.py 2019ApJ...882L..12P --format bibtex
# Search by author
python scripts/ads.py --search "author:Einstein"
# Search by first author only
python scripts/ads.py --search "author:^Hawking"
# Search by title
python scripts/ads.py --search 'title:"dark energy"'
# Search by abstract
python scripts/ads.py --search 'abs:"gravitational waves"'
# Search by year range
python scripts/ads.py --search "author:Penrose year:2015-2020"
# Search by journal
python scripts/ads.py --search "bibstem:ApJ year:2023"
# Combined search
python scripts/ads.py --search 'author:Planck title:"cosmological parameters"'
# Limit results
python scripts/ads.py --search "author:Witten" -n 5
| Field | Syntax | Example |
|---|---|---|
| Author | author:"Last, First" | author:"Hawking, S" |
| First Author | author:^Name | author:^Einstein |
| Title | title:"phrase" | title:"black hole" |
| Abstract | abs:"phrase" | abs:"dark matter" |
| Year | year:YYYY or year:YYYY-YYYY | year:2020-2023 |
| Journal | bibstem:abbrev | bibstem:MNRAS |
| arXiv ID | arXiv:id | arXiv:1207.7214 |
| DOI | doi:value | doi:10.1086/345794 |
| Object | object:name | object:M31 |
Boolean operators: AND (default), OR, NOT, - (negation)
| Abbreviation | Journal |
|---|---|
ApJ | Astrophysical Journal |
ApJL | ApJ Letters |
MNRAS | Monthly Notices of the RAS |
A&A | Astronomy & Astrophysics |
AJ | Astronomical Journal |
PhRvD | Physical Review D |
PhRvL | Physical Review Letters |
JCAP | Journal of Cosmology and Astroparticle Physics |
# Get papers citing a record
python scripts/ads.py 2019ApJ...882L..12P --citations
# Top 20 citing papers
python scripts/ads.py 2019ApJ...882L..12P --citations -n 20
# Default (shows metadata)
python scripts/ads.py 2019ApJ...882L..12P
# BibTeX
python scripts/ads.py 2019ApJ...882L..12P --format bibtex
python scripts/ads.py --search "author:Name"python scripts/ads.py <bibcode>python scripts/ads.py <bibcode> --format bibtexpython scripts/ads.py <bibcode> --citationsADS allows 5000 requests per day per API token.
Use together: search on ADS for published papers with citation data, use arXiv skill to get source.