Total 50,510 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Standards and best practices for writing LookML tests to ensure data integrity, accuracy, and logic validation.
Use this skill when you need to create or modify a LookML Model file (.model.lkml). This includes defining connections, includes, and configuring model-level settings.
High-precision Optical Character Recognition (OCR) service. Supports text detection and extraction for multi-language, multi-format images, and provides text area coordinates and confidence scores, suitable for document digitization and image content analysis.
Detect IBD-style Distribution Days for QQQ/SPY (close down at least 0.2% on higher volume), track 25-session expiration and 5% invalidation, count d5/d15/d25 clusters, classify market risk (NORMAL/CAUTION/HIGH/SEVERE), and emit TQQQ/QQQ exposure recommendations. Use after market close, before TQQQ exposure changes, or as input to FTD/market-state frameworks. Does not execute trades.
Fills gaps in existing healthcare practitioner lists — adds missing phone numbers, credentials, specialties, contact info, education, reviews, and regulatory data. Triggers: "enrich my provider list", "fill in missing data", "add phone numbers to these doctors", "complete this practitioner database", "enrich CRM export", "fill gaps in my provider data", "supplement this healthcare list". Accepts CSV, Google Sheet URL, or pasted data. Searches for each provider's practice website, extracts missing fields, and enriches with reviews, clinical trials, and accreditation via WSAs. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for validating credentials — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
Search and analyze cryo-EM maps, single particle structures, tomography datasets, and raw micrograph data from EMDB, EMPIAR, and CryoET Data Portal. Cross-reference with PDB structures and AlphaFold predictions. Use for cryo-EM map discovery, structure fitting analysis, raw data access, and tomography exploration.
Find and retrieve proteomics datasets from public repositories including MassIVE and ProteomeXchange (which aggregates PRIDE, PeptideAtlas, jPOST, and iProX). Search by species, keyword, or accession. Get detailed dataset metadata including instruments, publications, species, modifications, and file counts. Use when asked to find proteomics datasets, search for mass spectrometry data, look up ProteomeXchange or MassIVE accessions, or discover publicly available proteomics experiments for a given organism or topic.
Deep financial statement analysis for listed companies via Longbridge — cross-statement reconciliation (IS↔BS↔CF), DuPont decomposition (ROE = net margin × asset turnover × equity multiplier), earnings-quality scoring (accrual ratio), and 10-item financial fraud red-flag checklist. Builds on raw data from longbridge-financial-report. Triggers: "三表勾稽", "杜邦分析", "杜邦拆解", "盈利质量", "应计利润", "财务造假", "财报深度", "财务红旗", "三表分析", "財務深度", "三表勾稽", "杜邦分析", "盈利質量", "應計利潤", "財務造假", "財報深度", "財務紅旗", "DuPont analysis", "accrual ratio", "earnings quality", "financial fraud red flags", "cross-statement reconciliation", "three-statement analysis".
Valuation analysis for a single stock via Longbridge — current PE / PB / PS / EV-EBITDA snapshot, historical percentile (1–3 years), industry median + relative premium, industry rank. Triggers: "估值贵不贵", "是不是被低估", "PE 历史百分位", "PB 分位", "行业溢价", "行业折价", "X 现在适合买不", "估值水平", "估值貴不貴", "是否被低估", "PE 歷史分位", "行業溢價", "行業折價", "is X expensive", "is X undervalued", "PE percentile", "industry valuation premium", "valuation snapshot".
Industry valuation comparison and distribution analysis via Longbridge — cross-peer valuation matrix (PE / PB / PS / dividend yield), industry-percentile ranking, and industry premium / discount for a single stock. Triggers: "行业估值", "行业溢价", "行业折价", "行业对比", "行业百分位", "同行业估值", "板块估值", "行业贵不贵", "行業估值", "行業溢價", "行業折價", "行業對比", "行業百分位", "板塊估值", "industry valuation", "sector valuation", "industry premium", "industry percentile", "peer valuation", "sector PE", "TSLA.US industry valuation", "700.HK sector comparison".
Smart Money Concepts (SMC / ICT) Signal Engine — Identifies BOS (Break of Structure), ChoCH (Change of Character), FVG (Fair Value Gap), Order Block, and Liquidity Grab to determine the direction of institutional capital. Depends on the smartmoneyconcepts library. Triggers: "Smart Money", "SMC", "ICT", "Order Block", "BOS", "ChoCH", "FVG", "Break of Structure", "Liquidity Grab", "Institutional Capital", "Order Block", "Fair Value Gap", "Smart Money", "Order Block", "Break of Structure", "Liquidity Grab", "Institutional Capital", "smart money", "ICT trading", "order block", "BOS break of structure", "ChoCH change of character", "fair value gap", "FVG", "liquidity grab".
Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling