Total 52,261 skills, Data Processing has 2634 skills
Showing 12 of 2634 skills
Fit Bayesian regression models with PyMC using the Hogg approach — start simple, diagnose problems, upgrade the likelihood. Use when the user needs regression with proper uncertainty quantification, heteroscedastic errors, outlier robustness, or model comparison. Covers Normal, Student-t, and GLM likelihoods with ArviZ diagnostics and LOO-CV.
A股数据：行情、财务、股东、资金流、K线、概念板块、龙虎榜、市场异动。 当用户查询沪深北 A 股时使用（例如：603186 华正新材、300476 胜宏科技、000001 平安银行、龙虎榜、北向资金）。
End-to-end data engineering and analytics application using Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
Systematic 7-step methodology for comprehensive patent prior art searches and patentability assessments using BigQuery and CPC classification
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).
Design and execute reproducible systematic reviews, scoping reviews, and other evidence synthesis processes. Use when the user asks for "conduct a systematic review", "how to conduct a scoping review", "design a screening process", or requests the rw-review-methods workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
IPinfo.io integration. Manage Domains, ASNs, Companies. Use when the user wants to interact with IPinfo.io data.
Analyze post-translational modifications (PTMs) of proteins — modification sites, types, proteoforms, functional effects at PTM sites, and PTM-dependent protein interactions. Integrates iPTMnet, ProtVar, UniProt, and STRING databases. Use when asked about protein phosphorylation, ubiquitination, acetylation, glycosylation, methylation, SUMOylation, or other PTMs; proteoform diversity; PTM-regulated interactions; or functional impact of PTM sites.
Assess chemical and drug toxicity via adverse outcome pathways, real-world adverse event signals, and toxicogenomic evidence. Integrates AOPWiki (AOPWiki_list_aops, AOPWiki_get_aop) for mechanism- level pathway tracing, FAERS for post-market adverse event quantification, OpenFDA for label mining, and CTD for chemical-gene-disease evidence. Produces structured toxicity reports with evidence grading (T1-T4). Use when asked about toxicity mechanisms, adverse outcome pathways, AOP mapping, FAERS signal detection, or chemical-disease relationships for drugs or environmental chemicals.
Comprehensive drug safety review integrating FDA labels, FAERS adverse event reports, disproportionality analysis, pharmacogenomics, clinical trials, and literature. Use for regulatory assessments, post-market surveillance, drug safety reviews, adverse event investigation, and pharmacovigilance.
Build the period-end accrual schedule — for each accrual, compute the entry, cite the support, and draft the JE. Use during month-end close; the JE is a draft for controller approval, not a posting.