data▌

A comprehensive data analysis and storytelling skill optimized for financial, SaaS, and RevOps contexts. This skill provides structured workflows for turning raw data into actionable insights with full transparency on analytical decisions, bias awareness, and progressive disclosure reporting.

Convert instrument files into standardized Allotrope Simple Model (ASM) format for LIMS upload, data lakes, or handoff to data engineering teams.

把自然语言财经数据请求，转成可执行的 Tushare 数据工作流。

$22

Generate diverse, realistic test inputs that cover the failure space of an LLM pipeline.

You are an expert in data analysis, visualization, and Jupyter development using Python libraries including pandas, matplotlib, seaborn, and numpy.

You MUST use this skill for ANY data persistence, database, axiom-storage, CloudKit, or serialization work.

Data cleaning pipelines transform raw, messy data into clean, standardized formats suitable for analysis and modeling through systematic handling of missing values, outliers, and data quality issues.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Create clear, effective data visualizations via inference.sh CLI.