“data analysis”

Plan and write SQL analysis for product, business, cohort, funnel, retention, revenue, and operations questions with explicit joins, grain, QA checks, and…

R-to-Python translation for data analysis.

Professional Excel spreadsheet creation with a focus on aesthetics and data analysis.

使用 ARIMA 进行单变量时间序列预测（forecast）

执行十分位分层分析并识别高低价值群体（segmentation 分层分析）

Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights.

Neuropixels neural recording analysis.

Rigorous A/B test statistical analysis.

Use when running a systematic review and meta-analysis, DTA or intervention.

Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor…

Grill a data-analysis or software request into an agreed plan for delegated work.

Comprehensive Finance API integration skill for real-time and historical financial data analysis, market research, and investment decision-making.

Use when analysing data files (CSV, JSON, Excel), writing SQL queries, identifying trends and patterns, building dashboards or charts, summarising metrics…

Use this built-in skill for lightweight Python-based data exploration, profiling, aggregation, and file-based analysis.

Use Basedash to answer questions about company metrics, trends, lookups, and analysis over connected data sources.

Use this skill when performing root cause analysis on incidents in battery energy storage systems (BESS) and industrial control systems.

Read before your first get_context call on any business or data question.

查看数据结构、质量和可分析性（schema 数据概览 profiling）

Perform a detailed SWOT analysis — strengths, weaknesses, opportunities, and threats with actionable recommendations.

Answer a data question by selecting and executing a declared parameterized SQL read, then interpret the actual rows with source identity and measurement…

Analyze, describe, and extract information from images using the MiniMax vision MCP tool.

End-to-end data analyst workflow for business, product, operations, and growth questions.

Explore, clean, analyze, and model data in the workspace (CSV, JSON, Parquet, SQL, notebooks) with reproducible scripts and honest statistics.

通过本地 API 或 Docker 服务调用 TimesFM-3，进行单变量与多变量时序预测（forecast sales time series）