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Found 821 Skills
When the user wants to analyze competitors' App Store strategy, find keyword gaps, or understand competitive positioning. Also use when the user mentions "competitor analysis", "competitive research", "keyword gap", "what are my competitors doing", or "compare my app to". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
When the user wants to localize their App Store listing for international markets. Also use when the user mentions "localization", "translate my app", "international markets", "expand to new countries", "localize metadata", or "which countries should I target". For keyword research in specific markets, see keyword-research. For metadata writing, see metadata-optimization.
Fast decision-making methodology for time-critical situations. Use when you have minutes (not hours) to decide, during incidents, emergencies, or hard deadlines. Optimizes for "good enough now" over "perfect later". Unlike other patterns that maximize quality, RTR maximizes decision speed while maintaining acceptable quality floors.
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Build clinically meaningful ValueSets using the property filter system of each code system: SNOMED CT (attribute relationships + hierarchy), LOINC (CLASS/CLASSTYPE/STATUS/ORDER_OBS), RxNorm (TTY + ingredient relationships), ICD-10-CM (parent hierarchy), and UCUM (physical quantity). Use when the user wants to define a ValueSet by clinical criteria rather than enumerating codes manually, or when they ask "give me all X codes" for a code system.
Adds a data source or connector to a Power Apps code app. Asks what the user wants to accomplish and routes to the appropriate specialized skill.
Use SNOMED CT's semantic attribute relationships to answer clinical questions. Finds concepts by relationship attribute (finding site, causative agent, associated morphology, procedure site), navigates the IS-A hierarchy, and composes property-filtered ValueSets. Use when the user asks things like "all disorders of the heart", "all procedures on the kidney", "all conditions caused by bacteria", "subtypes of hypertension", "symptoms of X", "complications of X", or any query that involves clinical relationships between concepts rather than simple text search.
Map a code from any clinical terminology (ICD-10-CM, LOINC, RxNorm) to its SNOMED CT equivalent in order to unlock SNOMED's rich semantic attribute relationships. Use when the user has a code in a non-SNOMED system and wants to explore related concepts, find clinically adjacent codes, understand the semantic meaning, or build a SNOMED-based ValueSet from a non-SNOMED starting point. Always propose this when a user asks about relationships or "what is related to X" and the code is not already in SNOMED.
App Store and Google Play screenshot creation with exact platform specs. Covers iOS/Android dimensions, gallery ordering, device mockups, and preview videos. Use for: app store optimization, ASO, app screenshots, app preview, play store listing. Triggers: app store screenshots, aso, app store optimization, play store screenshots, app preview, app listing, ios screenshots, android screenshots, app store images, app mockup, device mockup, app gallery, store listing
Use when the response requires complex reasoning, creativity, nuance, evaluation, decision-making, subjectivity, or communication-sensitive work. If the task is simple and the user has not manually invoked this skill, do not use it.
DataWorks Infrastructure Management: Create and query operations for Data Sources (51 types), Compute Resources, and Serverless Resource Groups, plus connectivity testing and resource group binding/unbinding. Uses aliyun CLI to call dataworks-public OpenAPI (2024-05-18). Trigger keywords: DataWorks data source, compute resource, resource group, datasource, data source, compute resource, resource group, mysql/hologres/maxcompute data source, holo/mc/flink resource, Serverless resource group, DataWorks infra, create/list datasource, DW environment config, infrastructure initialization, connect database to DataWorks, database connection failure, configure holo/mc resource. Not triggered: data development tasks, scheduling configuration, MaxCompute table management, data integration tasks, ECS/RDS/OSS operations, workspace member management, data quality monitoring, data lineage, data preview.
Design AI loading, thinking, and progress indicator UX. Use when explicitly asked to improve AI waiting states, add thinking indicators, or design loading UX for AI interfaces. Covers reasoning display (chain-of-thought), progress steps, streaming states, and the "elevator mirror effect" for reducing perceived wait time.