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Use when the user mentions 'INSPIRE', 'INSPIRE-HEP', 'inspirehep', or asks to search high-energy physics literature, find HEP papers, get citation counts, or retrieve BibTeX from INSPIRE. Specializes in particle physics, quantum field theory, and related fields.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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.
SOC 직업 분류 기준
| name | inspire |
| description | Use when the user mentions 'INSPIRE', 'INSPIRE-HEP', 'inspirehep', or asks to search high-energy physics literature, find HEP papers, get citation counts, or retrieve BibTeX from INSPIRE. Specializes in particle physics, quantum field theory, and related fields. |
Search and retrieve papers from INSPIRE-HEP, the high-energy physics literature database.
Requires: requests (pip install requests)
INSPIRE accepts multiple identifier types:
451647 (internal ID)1207.7214 or hep-th/971120010.1103/PhysRevLett.19.1264# Get a record by INSPIRE ID
python scripts/inspire.py 451647
# Get by arXiv ID
python scripts/inspire.py 1207.7214
# Get by DOI
python scripts/inspire.py 10.1103/PhysRevLett.19.1264
# Get BibTeX
python scripts/inspire.py 1207.7214 --format bibtex
# Search by author (SPIRES syntax)
python scripts/inspire.py --search "a E.Witten.1"
# Search by title
python scripts/inspire.py --search "t dark matter"
# Search by arXiv category
python scripts/inspire.py --search "arXiv:hep-th"
# Combined search
python scripts/inspire.py --search "a Maldacena and t AdS/CFT"
# Most cited results
python scripts/inspire.py --search "a Hawking" --sort mostcited
# Limit results
python scripts/inspire.py --search "t supersymmetry" -n 5
| Prefix | Field | Example |
|---|---|---|
a | Author | a E.Witten.1 |
t | Title | t black hole |
k | Keywords | k inflation |
j | Journal | j Phys.Rev.Lett. |
eprint | arXiv ID | eprint 1207.7214 |
topcite | Citation count | topcite 1000+ |
Boolean operators: and, or, not
# Get papers citing a record
python scripts/inspire.py 1207.7214 --citations
# Top 20 citing papers
python scripts/inspire.py 1207.7214 --citations -n 20
# JSON (default - shows metadata)
python scripts/inspire.py 1207.7214
# BibTeX
python scripts/inspire.py 1207.7214 --format bibtex
# LaTeX (European style)
python scripts/inspire.py 1207.7214 --format latex-eu
# LaTeX (US style)
python scripts/inspire.py 1207.7214 --format latex-us
python scripts/inspire.py --search "a Author"python scripts/inspire.py <id>python scripts/inspire.py <id> --format bibtexpython scripts/inspire.py <id> --citationsINSPIRE allows 15 requests per 5-second window per IP address.
Use both together: search on INSPIRE for citation data, then use arXiv skill to get the paper source.