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Found 333 Skills
Adapts experiences across cultures and languages — not just translation, but cultural reconception. Part of the Intent design strategy system. When a product enters a new market, everything is in play: information density, navigation patterns, color meaning, icon comprehension, date formats, trust signals, payment flows, and the fundamental assumptions about how people make decisions. Trigger when: planning international expansion, auditing i18n readiness, adapting designs for RTL languages, reviewing cultural assumptions in a design, preparing localization test plans, or when someone says "we need to launch in [country]" and the plan is "just translate it." Also trigger for compliance reviews across markets (GDPR, PIPL, accessibility laws).
Search, browse, and read Food52 from your terminal — with offline FTS, pantry matching, recipe scaling, and the editorial signals other tools throw away. Trigger phrases: `find me a food52 recipe for X`, `scale this food52 recipe to N servings`, `what can I cook from food52 with what's in my pantry`, `use food52`, `run food52`.
Use to analyze quota distribution, attainment fairness, and productivity signals.
Use to define schemas, topic tags, and lineage metadata for enriched signals.
Use when investigating inbox placement, reputation, and compliance signals across senders.
Operating system for logging market/competitive signals with severity, confidence, and routing.
Methodology for defining product-qualified lead (PQL) signals, scoring, and routing.
Tagging schema for classifying community signals by persona, journey, and business impact.
Use to catalog churn/expansion plays tied to specific signals, cohorts, and owners.
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like "What genes are associated with type 2 diabetes?"
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions. Computes posterior probabilities for causal variants, links variants to genes via L2G predictions, annotates functional consequences, and suggests validation strategies. Use when asked to fine-map GWAS loci, prioritize causal variants, identify credible sets, or link GWAS signals to causal genes.