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Found 439 Skills
Use this skill when the user asks for creative thinking (including naming it or directing use/apply/run with obvious misspellings; decisive) or wants divergent ideation—fluency, flexible perspectives, novel combinations, and elaboration, with optional light convergence. Use when they want fresh ideas, blue-sky options, reframes, or more variety before committing, including casual or messy prompts. Skip when they want a single delivered answer with no exploration, audit-only teardown with no generation asked for, or purely mechanical execution.
Implements and configure the Syncfusion .NET MAUI AI-Powered Smart Text Editor (SfSmartTextEditor). Use when working with SfSmartTextEditor, AI-powered text input, predictive text suggestions, inline or popup suggestions, or UserRole/UserPhrases configurations. Covers suggestion display modes, custom AI services (Claude, DeepSeek, Gemini, Groq), Azure OpenAI integration, and customization options.
MiniQMT Xuntou Quantitative Trading Interface, based on the XtQuant Python library, supports market data acquisition (K-line, tick data, financial data, etc.) and trading operations (order placement, order cancellation, querying assets/orders/positions) for A-shares, futures, and options. It is used when users need to obtain real-time/historical market data from MiniQMT, conduct quantitative trading, or perform backtesting.
Use when the user asks "what predefined metrics are available", "which built-in metrics should I use", "what does CSAT measure", "how does hallucination detection work", "what's the difference between Interruption Score and AI Interrupting User", "which metrics are free", "which metrics need audio", "configure silence threshold", "set up sentiment metric", or any question about Cekura's out-of-the-box metrics. Covers the full catalog of predefined metrics — what each does, costs, constraints, configuration options, and when to use each one.
Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".
Conduct comprehensive, multi-round research that produces rich visual reports. Use when asked for "deep research", "comprehensive analysis", "compare frameworks", "evaluate options", "research the state of X", or any task requiring investigation across 10+ sources. NOT for quick lookups — this is a 5-15 minute deep dive that produces a briefing-quality artifact with screenshots, diagrams, tables, and cited findings.
Hotel Booking/Hotel Selection/Where to Stay. Applicable to scenarios where users ask you to "book a hotel/select a hotel/recommend hotels/compare prices between official websites and OTAs/confirm cancellation policies and breakfast options/which area is more convenient to stay near a certain landmark", etc. Default priority is given to official websites, followed by price comparison with OTAs; no automatic booking; when citing external facts, try to provide source links and local time of the source; never fabricate information.
Use when building or structuring Python CLI commands with Typer, including commands, options, and multi-command apps.
Set up @data-client/graphql for GraphQL APIs. Configures GQLEndpoint with auth and custom options. Use after data-client-setup detects GraphQL patterns.
Write titles for blog posts, deep dives, and hub articles. 15 proven formulas + 10 Commandments evaluation. Generate 10+ options, select best through systematic criteria.
Variant and attribute selection on product detail pages. Use when modifying variant selectors, debugging "Add to Cart" button state, understanding option availability, or adding discount badges to options.
Structured comparison of competing options with weighted scoring matrices, trade-off analysis, decision frameworks, and recommendation templates. Use when evaluating alternatives, making purchase decisions, or comparing strategies.