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Found 25 Skills
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
Implements Syncfusion WPF Multi Column Dropdown (SfMultiColumnDropDownControl) for displaying searchable dropdown lists with grid view. Use this when creating dropdowns with multiple columns, autocomplete functionality, or filterable data grids in combo boxes. Supports data binding, column configuration, multi-row selection, and popup customization.
Implement the Syncfusion Angular AutoComplete component for type-ahead text suggestions with data binding, filtering, grouping, templates, virtualization, and form integration. Covers local and remote data sources, autofill, highlight search, custom filtering, keyboard navigation, and accessibility features. Use this when adding AutoComplete to Angular applications, configuring filtering behaviors, implementing data binding scenarios, or validating forms with autocomplete.
Guides implementation of the Syncfusion WinForms AutoComplete control for text input with auto-suggestion functionality. Use when users want to add autocomplete textboxes, implement auto-suggestion features, create search boxes with suggestions, enable URL/email autocomplete, or build type-ahead search functionality in Windows desktop applications. Covers data binding, customization, filtering, multi-column dropdowns, events, and all AutoComplete-specific features.
Use when working with the Commet CLI -- logging in, linking projects, pulling types for autocomplete, scaffolding new projects from templates (fixed, seats, metered, credits, balance-ai, balance-fixed), or managing organizations.
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
Stimulus JS framework for Symfony UX. Use when building client-side interactivity with data attributes, creating controllers for DOM manipulation, handling user events, managing component state, or integrating with Symfony's StimulusBundle and AssetMapper. Triggers - stimulus controller, data-controller, data-action, data-target, frontend interactivity, JavaScript behavior, Symfony UX frontend, toggle, dropdown, modal JS, tabs JS, clipboard, chart controller, datepicker, autocomplete JS, lazy controller, stimulusFetch, outlets, keyboard shortcut, global event listener. Also trigger when the user wants to add JavaScript behavior to server-rendered HTML, wrap a third-party JS library, or build client-only interactions that don't need a server round-trip.
Implement the Syncfusion WPF HierarchyNavigator (Breadcrumb) control for hierarchical path navigation. Use this when building breadcrumb or address-bar UIs, binding hierarchical data to a navigation control, or enabling edit mode with AutoComplete path entry in WPF. Covers navigation history, refresh button, progress bar during navigation, and keyboard-driven hierarchical navigation.
Query 10 Google verticals (search, news, images, videos, places, maps, shopping, scholar, patents, autocomplete) as structured data via @microlink/google. Use when users need to fetch Google search results programmatically, scrape Google SERP data, build search-powered features, retrieve Google News or Shopping data, get place/map coordinates, find academic papers, or work with any Google vertical through a unified Node.js API.
Implement and customize Syncfusion Windows Forms SfComboBox control with data binding, autocomplete, multi-selection, filtering, and tokens. Use this when working with WinForms combobox, dropdown, SfComboBox, autocomplete textbox, multi-select dropdown, token input, combobox data binding, dropdown filtering, or combobox customization in Windows Forms applications.
Implement and configure Syncfusion Windows Forms EditableList controls for inline list editing. Use this when working with editable list boxes, list controls with add/edit/delete capabilities, or AutoComplete integration. Covers setup, data binding, appearance customization, and styling.
Complete Development Guide for Tables, Search, and Pagination Features in React/Next.js Projects. Covers core technologies such as race condition handling, search system implementation, pagination systems, infinite scrolling, CRUD synchronization, Intersection Observer API, and state management selection. Key Features: - Handle race condition issues in asynchronous requests - Implement high-performance search and autocomplete features - Build professional-grade pagination systems and caching strategies - Develop smooth infinite scrolling experiences - Ensure data consistency for CRUD operations - Select the most suitable state management solution Applicable Scenarios: - React/Next.js applications requiring search and pagination features - List display and CRUD operations for large datasets - Need for high-performance infinite scrolling or virtualized lists - Facing complex data management issues such as race conditions and state synchronization - Projects needing to select an appropriate state management solution