Total 53,693 skills, Data Processing has 2765 skills
Showing 12 of 2765 skills
End-to-end ETL pipeline for Harvard Art Museums API with SQL analytics and Streamlit visualization
Query Polymarket: markets, prices, orderbooks, history.
24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records.
6 web scraping & data collection skills. Trigger: collecting web data, finding datasets, API access for research. Design: ethical scraping methods with rate limiting and data quality checks.
Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use data360-prepare), segments/insights (use data360-segment), retrieval/search (use data360-query), or STDM/session tracing (use agentforce-observe).
Salesforce Data Cloud Segment phase. Use this skill when the user creates or publishes segments, manages calculated insights, or troubleshoots audience SQL in Data Cloud. TRIGGER when: user creates or publishes segments, manages calculated insights, inspects segment counts or membership, or troubleshoots audience SQL in Data Cloud. DO NOT TRIGGER when: the task is DMO/mapping/identity-resolution work (use data360-harmonize), activation work (use data360-activate), query/search-index work (use data360-query), or Standard Data Model (STDM)/session tracing (use agentforce-observe).
Intelligently truncate text while maintaining content integrity and semantic coherence. Suitable for long text preprocessing and ensuring text does not exceed specified length limits
선관위·권익위·정보공개포털·주요 지방의회 등 검증된 공개 표면에서 공무국외출장/국외훈련 보고서·현황을 조회하고, 첨부 원문이 있으면 kordoc으로 사실·공개성·검토 신호만 구조화한다. 부정부패 판정 도구가 아니다.
금융위원회 기업기본정보(법인 개요)를 공공데이터포털 API(k-skill-proxy 경유)로 조회한다. 법인명으로 대표자·설립일·업종 등 법인 개요를 확인하고, 응답에 사업자번호가 있으면 입력 번호와 교차검증한다.
Enrich a list of email addresses to find the person behind each one (email to person profile). Uses a 7-phase waterfall across Crustdata MCP tools: crustdata_company_identify, crustdata_people_enrich (business_email + personal_email), crustdata_people_search_db (three different filter strategies), crustdata_web_search. Handles rate limiting, verification, progress saving, and resume. Trigger on: "enrich these emails", "who are these people", "find info for these email addresses", "look up these contacts", "identify people from emails", "reverse email lookup", "email to profile", or when someone provides a list/CSV/spreadsheet of email addresses wanting contact info.