Total 54,018 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
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).
When the user wants to optimize inventory levels, calculate safety stock, determine reorder points, or minimize inventory costs. Also use when the user mentions "inventory management," "safety stock," "EOQ," "reorder point," "service level," "stockout prevention," "ABC analysis," "inventory turns," or "working capital reduction." For warehouse slotting, see warehouse-slotting-optimization. For multi-echelon systems, see multi-echelon-inventory.
When the user wants to optimize energy supply chains, coordinate oil and gas logistics, or manage energy infrastructure. Also use when the user mentions "energy transportation," "pipeline management," "energy distribution," "oil and gas supply chain," "LNG logistics," "petroleum logistics," "energy asset management," or "energy infrastructure." For renewable energy, see renewable-energy-planning. For power grids, see power-grid-optimization.
Web scraping via progressive escalation and social media platform scrapers. USE WHEN scraping, crawl, scrape URL, bot detection, CAPTCHA, spider.
Conduct cohort analysis to track user behavior over time, build retention matrices, and compare cohort performance. Use this skill when the user needs to measure retention, understand how user behavior changes after acquisition, compare product versions' impact on engagement, or predict LTV — even if they say 'what's our retention rate', 'are newer users behaving differently', 'build a retention table', or 'how long do customers stick around'.
Apply Structural Equation Modeling (SEM) to test hypothesized causal structures by combining measurement models (CFA) and structural models (path analysis). Use this skill when the user needs to validate latent constructs, test mediation or moderation paths, assess model fit with CFI/TLI/RMSEA/SRMR, or when they ask 'do these variables form a causal chain', 'how do I test my theoretical model', or 'is my measurement model valid'.
Conduct statistical hypothesis testing including null/alternative hypothesis formulation, p-values, Type I/II errors, and test statistic selection. Use this skill when the user needs to determine whether a result is statistically significant, choose the right statistical test, interpret p-values correctly, or evaluate research findings — even if they say 'is this result significant', 'which statistical test should I use', or 'what does this p-value mean'.
Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance
Browse AI integration. Manage data, records, and automate workflows. Use when the user wants to interact with Browse AI data.
Access and navigate GenomeArk AWS S3 bucket - VGP assemblies, QC data, and species directory structure
Calculate ETF premium or discount relative to Net Asset Value (NAV) using Yahoo Finance data. Use this skill whenever the user asks about an ETF's premium or discount, NAV comparison, whether an ETF is trading above or below its fair value, or wants to compare market price vs NAV. Triggers: "ETF premium", "ETF discount", "NAV premium", "is SPY trading at a premium", "AGG premium to NAV", "market price vs NAV", "ETF mispricing", "BITO premium", "IBIT premium", "bond ETF discount", "trading above/below NAV", "ETF premium screener", "which ETFs have biggest discount", "compare ETF NAV", "ETF arbitrage", or any request involving the gap between an ETF's market price and its underlying value. Also triggers when analyzing leveraged, inverse, international, bond, commodity, or crypto ETFs where premium/discount is a known concern.