“data analysis”

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.

Open-source platform where you configure multi-agent systems and workflows without writing code

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）

规划结构化业务分析报告（report 报告生成）

Open-source agent harness from MindsHub that runs as the default agent in its Cowork app and standalone in a terminal.

根据当前数据选择并生成合适的业务图表（visualization 可视化）

使用 GRU 对足量时间序列进行预测（forecast deep learning）

使用 K-Means 对业务对象进行聚类画像（clustering 客户分群）

执行二分类或多分类逻辑回归分析（logistic regression 分类）

使用 Prophet 分解趋势季节性并预测（forecast 时间序列预测）

执行线性回归并解释关键变量影响（linear regression 回归分析）

使用 SARIMA 建模季节性时间序列预测（forecast）

进行单变量筛选并形成候选解释变量清单（feature selection 特征筛选）

使用 SQL 安全查询当前已选择的数据表（query 数据查询）

使用决策树识别影响目标变量的关键规则（decision tree 决策树）