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Found 24 Skills
Мультиаккаунтный дашборд. Статистика по всем аккаунтам с детализацией до уровня объявлений.
Social media intelligence monitoring for Novita. Use when systematically browsing X/Twitter accounts from personal following list (@Jax_Zhang_4R) to gather AI industry intelligence. Performs sequential account review with per-account record keeping (including original tweet links), followed by comprehensive summary. Always use @skills/twitterapi-cli for data retrieval.
Expert-level Elasticsearch, search, ELK stack, and full-text search
Calculate the 'Gross Margin Proxy for Gold/Silver Mining Industry' using public metal prices and mining cost metrics (AISC/All-in Cost/Cash Cost), and determine whether the current level is in the historical high/low range.
Cross-platform hot list aggregation API service — Based on the open source project DailyHotApi, it supports automatic local deployment, and you can obtain real-time hot search data from more than 40 platforms with zero configuration. It covers mainstream platforms including Douyin, Weibo, Zhihu, Bilibili, Baidu, Toutiao, Kuaishou, etc. Trigger words: hot spots, hot search, trends, hot list, trending, hot topics.
Use this skill when users ask how to implement Syncfusion Pivot Table/PivotView in Blazor. Trigger for Blazor components, data binding, OLAP analysis, aggregation, drill-down/drill-through, grouping, filtering, conditional formatting, exports (Excel/PDF/CSV), or pivot charts. Blazor-only, not React/Angular/Vue/JS.
Execute read-only SQL queries against Databricks. Use when you need to run a specific SQL query, aggregate data, join tables, or answer analytical questions about Databricks data.
Elasticsearch expert for queries, mappings, aggregations, index management, and cluster operations
Process multiple files in parallel with aggregation and progress tracking. Use for batch file operations, directory scanning, ZIP handling, and parallel data processing with 2-3x performance improvement.
Query-first dataset access with @domoinc/query including filters, grouping, date grains, and performance constraints.
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weighted average rating', 'IMDB formula', or 'ranking with prior'.
Aggregates PayPal disputes, HubSpot feedback and tickets, and email sentiment (plus pasted or exported Google/Yelp reviews) into a themes report with verbatim evidence and a "do these three things this week" list. Use when the user asks how customers are feeling, for review analysis, what people are saying, or about disputes.