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Found 341 Skills
Tavily: web search optimized for AI agents, answer synthesis, domain filtering, depth control
Implement matrix factorization to decompose user-item interaction matrices into latent factor representations. Use this skill when the user needs scalable collaborative filtering, latent feature discovery, or dimensionality reduction for recommendation — even if they say 'SVD recommendations', 'latent factors', or 'factorize the rating matrix'.
USE FOR news search. Returns news articles with title, URL, description, age, thumbnail. Supports freshness and date range filtering, SafeSearch filter and Goggles for custom ranking.
NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.
Build recommendation systems with collaborative filtering, matrix factorization, hybrid approaches. Use for product recommendations, personalization, or encountering cold start, sparsity, quality evaluation issues.
Search Xiaohongshu notes, supporting keyword search and multi-dimensional filtering (sorting, content type, time range, location, etc.). Use this when users want to search or find content on Xiaohongshu — including scenarios like searching for notes, finding guides, checking if certain content exists on Xiaohongshu, searching, looking up, etc.
Control which data each viewer sees in an embedded Domo dashboard/card via server-side programmatic filters and dataset switching. Covers the OAuth → embed token flow, standard filters, SQL filters (OR/BETWEEN/LIKE), per-dataset targeting, datasetRedirects for multi-tenant architectures, and token size limits. Use for any per-viewer, per-role, or per-tenant data restrictions at embed time. Not for client-side JS API filtering (use cap-de-jsapi-filters).
Work with raster and imagery data including ImageryLayer, ImageryTileLayer, multidimensional data, pixel filtering, and raster analysis. Use for satellite imagery, elevation data, and scientific raster datasets.
Implement the Syncfusion Angular DropDownList component for single-value selection from a predefined list. Use this when building dropdown selectors, searchable dropdowns, filtered lists, grouped options, or cascading dropdowns. This skill covers data binding, filtering, templates, grouping, virtualization, form integration, styling, and API usage with @syncfusion/ej2-angular-dropdowns.
Guide for implementing the Syncfusion WinUI ComboBox control (SfComboBox) for single and multiple selection with filtering and token display. Use this when working with searchable dropdowns, multi-select combo boxes, or editable combo boxes in WinUI applications. This skill covers selection modes, data binding, filtering, grouping, and custom item templates.
Guide implementation of the Syncfusion WinUI AutoComplete control (SfAutoComplete) for creating searchable dropdowns with single or multiple selection, filtering suggestions, and customizable token display. Use this skill when implementing search-as-you-type functionality, autocomplete dropdowns with multi-select, tagging systems with token/chip display, or filtered suggestion boxes in WinUI applications.
Execute mcloud logs to fetch and stream runtime logs for Cloud environments. Use when reading backend or storefront logs, filtering by time range, searching for errors, or scoping logs to a specific deployment.