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Found 66 Skills
Best practices for developing tools, dashboards and interactive data apps with HoloViz Panel. Create reactive, component-based UIs with widgets, layouts, templates, and real-time updates. Use when developing interactive data exploration tools, dashboards, data apps, or any interactive Python web application. Supports file uploads, streaming data, multi-page apps, and integration with HoloViews, hvPlot, Pandas, Polars, DuckDB and the rest of the HoloViz and PyData ecosystems.
Global Comprehensive Stock Analysis Tool. Supports all markets covered by Eastmoney, including A-shares, Hong Kong stocks, US stocks, etc. Based on the stock name or code entered by users, it obtains stock information from Eastmoney.com, conducts three-dimensional analysis of fundamentals, news, and capital flows, and provides investment suggestions, buy prices and sell prices. Trigger keywords: analyze stocks, stock recommendations, stock entry and exit points, stock research, A-share analysis, Hong Kong stock analysis, US stock analysis, Chinese concept stocks, Hang Seng Index, Nasdaq, S&P 500, Dow Jones, Tencent, Alibaba, Apple AAPL, Tesla TSLA, NVIDIA NVDA, Micron MU, etc.
LeanData integration. Manage data, records, and automate workflows. Use when the user wants to interact with LeanData data.
Auto-generates weekly KPI reports from multiple data sources including Supabase analytics, CRM data, financial spreadsheets, and email metrics. Produces executive-ready reports with dashboards, trends, highlights, concerns, and action items.
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF pipelines, mapping data flows, SHIR/SSIS IR, SAP CDC, or CI/CD with ARM/DevOps, and other Azure Data Factory related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics), Azure Data Explorer (use azure-data-explorer).
Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analysis. Guides the user through the full flow: install dlt, pick a SaaS source, set up credentials, run the data pipeline into DuckDB, then auto-generate a Wren semantic project from the loaded data. Use this skill whenever the user mentions: connecting SaaS data, importing data from an API, dlt pipelines, loading HubSpot/Stripe/Salesforce/GitHub/Slack data, querying SaaS data with SQL, or setting up a new data source from a REST API. Also trigger when the user already has a dlt-produced DuckDB file and wants to create a Wren project from it.