Loading...
Loading...
Found 264 Skills
Implements the Syncfusion WPF SfTextBoxExt autocomplete features for intelligent suggestions, filtering, and tokenized multi-selection. Use when adding predictive text input, filtered suggestion lists, or multi-select search boxes.
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.
Implement Syncfusion React DropDownList component for single-value selection from predefined lists. Use this when working with dropdowns, select boxes, or single-select lists. This skill covers installation, data binding (local arrays, JSON objects, remote/OData), filtering, grouping, templates, value binding, virtual scrolling, cascading dropdowns, accessibility, styling, and localization.
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 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.
Configures Laravel Nightwatch data collection, sampling rates, filtering rules, and redaction policies. Use when setting up Nightwatch, managing data volume, protecting sensitive data (PII), or optimizing event collection for production workloads.
Bulk extract content from an entire website or site section. Use this skill when the user wants to crawl a site, extract all pages from a docs section, bulk-scrape multiple pages following links, or says "crawl", "get all the pages", "extract everything under /docs", "bulk extract", or needs content from many pages on the same site. Handles depth limits, path filtering, and concurrent extraction.
Discover and list all URLs on a website, with optional search filtering. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", or "list all pages". Essential when the user knows which site but not which exact page.
Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.
Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.
Address book member query skill, which obtains address book members within the visible range of the current user, supports local filtering and matching by name/alias. Returns userid, name and alias. ⚠️ Only members that the current user has permission to view are returned, not the full list of members.
Use this skill for smart-money/whale/KOL/大户 signal/信号 tracking — monitoring what notable wallets are buying across the market. Covers: real-time buy signals from smart money, KOL/influencers, and whales; filtering by wallet type, trade size, market cap, liquidity; listing supported chains for signals. Use when the user asks 'what are smart money/whales/KOLs buying', '大户在买什么', 'show me whale signals', 'smart money alerts', or wants to follow notable wallet activity. Do NOT use for meme/pump.fun token scanning — use okx-dex-trenches. Do NOT use for individual token holder distribution — use okx-dex-token.