python-trading-signal-generator-no-ta-lib
Generates a Python function `signal_generator` that uses pandas for EMA/SMA and candlestick analysis to produce Buy/Sell signals, excluding TA-Lib and trend calculation.
Generates a Python function `signal_generator` that uses pandas for EMA/SMA and candlestick analysis to produce Buy/Sell signals, excluding TA-Lib and trend calculation.
基于ByteHouse MCP Server,生成数据资产目录和血缘分析的技能,用于获取数据库表结构、生成数据资产目录、分析表之间的血缘关系。当用户需要获取ByteHouse数据库的表结构、生成数据资产目录、分析表之间的血缘关系时,使用此Skill。
Generate an evidence-grounded article-level mind map as strict JSON.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Comprehensive data visualization skill covering visual execution and technical implementation. Includes perceptual foundations, chart selection, layout algorithms, and library guidance. Triggers on: charts, graphs, dashboards, 'visualize', 'plot', data presentation, D3, Recharts, Victory.
Integrates Apache ECharts into UniApp and UniAppX projects for cross-platform data visualization (H5, mini-programs, native App). Supports line, bar, pie, scatter, radar, gauge, funnel, heatmap, and more chart types. Use when the user needs to create ECharts charts in UniApp/UniAppX or configure interactive data visualizations for mobile and web.
Defamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.
Create SAP Data Workbooks (.sapwb) for SAP data analysis. Use when the user asks to analyze SAP data, create data quality checks, build reports, compare tables, profile data, or any multi-step SAP data exploration. Workbooks have ABAP SQL cells (queries against SAP) and JavaScript cells (process results). They save as files and can be re-run.
User and customer journey mapping for experience analysis. Creates journey maps with touchpoints, emotions, pain points, and opportunity identification.
Generate publication-style charts from structured data. Use when the user wants a figure, chart, or visualization for research results.
Analyze lakehouse data interactively using Fabric Livy sessions and PySpark/Spark SQL for advanced analytics, DataFrames, cross-lakehouse joins, Delta time-travel, and unstructured/JSON data. Use when the user explicitly asks for PySpark, Spark DataFrames, Livy sessions, or Python-based analysis — NOT for simple SQL queries. Triggers: "PySpark", "Spark SQL", "analyze with PySpark", "Spark DataFrame", "Livy session", "lakehouse with Python", "PySpark analysis", "PySpark data quality", "Delta time-travel with Spark".
Find opportunities to add metrics and estimate numbers when exact data unavailable
Compare multiple job offers side-by-side with total compensation analysis
Common patterns for extracting analytics data from GA4 and GSC with API handling
Analyze trends across session metrics. Computes windowed aggregates, deltas, and compares against MEMORY.md findings. Use periodically for progress tracking.
Create charts, graphs, and visualizations from data. Use when the user needs to visualize data, create charts, or generate reports with graphics.
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pandas operations.
Excel generator with AI-powered data analysis, charts, formulas, and web search. Create spreadsheets, analyze CSV/Excel/PDF files, generate HTML reports, and get real-time data.
Loads CSV, Excel, and JSON data files, performs statistical analysis, and generates charts and reports. Use when the user asks to analyze a dataset, compute statistics, create visualizations, find trends, or produce a data report.
Компиляция схемы компоновки данных 1С (СКД) из компактного JSON-определения. Используй когда нужно создать СКД с нуля
Conducts comprehensive web research, synthesizes data from multiple sources, and produces detailed reports.