“data analysis”

Expert data scientist for advanced analytics, machine learning, and statistical modeling.

Perform a PESTLE analysis covering Political, Economic, Social, Technological, Legal, and Environmental factors.

Orchestrate multiple analysis skills and surface agreement vs conflict (no extra data fetch).

Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and…

Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel…

Methodology playbook for analyzing DEX/AMM trade, liquidity, and pricing data on Allium — Uniswap, PancakeSwap, PumpSwap/Pump.fun, Orca, Pendle, aggregators…

Generate evidence-based Chinese delivery-review reports from the installed Candao AGE connector.

Use when you must prove an analysis ran on the intended data or lock a dataset version.

Answer questions from repository history, including what changed, when, by whom, why a line exists, which commits touched an area, where a regression entered…

Analyze CRM data (HubSpot, Pipedrive or Upsales) to build a data-driven Ideal Customer Profile from closed-won deals, contacts, and companies

Audits an AI agent's own setup — workspace, config, memory, skills, jobs, integrations — and reports what is broken, exposed, or wasteful.

22 维度融合个股深度分析。生成包含基本面、技术面、资金面及投委会结论的综合报告。

Analyze video comment sections to discover recommended content and gauge content quality.

Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer…

Structured analysis for any input.

Analyzes tabular data in CSV, Excel, or pasted tables with summary stats, trends, and chart recommendations.

Analyze a local recording for speakers and label timestamped transcript segments without uploading audio

Use when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis

Data visualization, report generation, SQL queries, and spreadsheet automation.

Statute and regulation interpretation framework.

Scientific computing and statistical analysis with SciPy, NumPy, and pandas.

Use when the user asks to query a database, analyze data, create charts/visualizations, explore data patterns, or asks business questions about data.

Alpha and beta diversity analysis for microbiome data.

Analyze competitors in a given market segment.