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Found 10 Skills
Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.
For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
Expert-level Elasticsearch, search, ELK stack, and full-text search
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.
Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.
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.
Aggregate prospect intelligence from multiple sources including news, social media, company websites, and financial data.
Centralized transformation logic for consistent data shaping across API routes. Includes aggregators, rankers, trend calculators, and data sanitizers.
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.