bsl-query-expert
Analyze BSL semantic models through natural language queries using group_by, aggregate, filter, and multi-dimensional analysis.
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34 skills found
Analyze BSL semantic models through natural language queries using group_by, aggregate, filter, and multi-dimensional analysis.
Progressive four-tier URL content scraping with automatic fallback strategy for bypassing bot detection and access restrictions.
Analyze A/B test results with statistical rigor. Includes significance testing, sample size validation, guardrail monitoring, and actionable recommendations (ship/extend/stop) using Python scripts.
Unified Python CLI for Tavily AI operations including web search, URL extraction, site crawling, link mapping, and automated deep research reports.
Operate Google Tag Manager via MCP. Handles OAuth, resource discovery, and CRUD operations for tags, triggers, and variables directly from your LLM agent.
A versatile data analysis assistant for loading datasets, performing statistical calculations, visualizing trends, and generating professional summary reports.
Load, validate, and preprocess weekly insurance policy CSV data with intelligent period detection and standardization.
Efficiently extract, filter, and transform specific fields from JSON files using jq, saving up to 95% of context window usage compared to reading full files.
Reliably rotate images by 90-degree increments using a deterministic Python script. Supports PNG, JPG, GIF, BMP, and TIFF, preserving quality with automated file handling.
Comprehensive Polymarket agent skill for prediction market data, trading API integration, and real-time WebSocket monitoring.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.