菜单
Analyzes CSV or spreadsheet data with statistics, charts, joins, and clear findings. Use when the user uploads CSV/XLSX data or asks for data analysis, cohort analysis, charts, or spreadsheet insight. Do NOT trigger for document-only research.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Create or update project-local Cheatcode skills for direct backend routes, local workflows, or non-Composio external APIs. This is the default skill authoring path.
Inspect and manage globally enabled Cheatcode tools and integrations.
Browser automation CLI for the Cheatcode coding agent. Use when the user needs to interact with websites, take screenshots, fill forms, click elements, navigate pages, or automate any browser task.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Uses the user's connected Gmail, GitHub, Notion, Google Workspace, Slack, and other supported accounts for explicit on-demand actions. Use when the user asks Cheatcode to read, search, create, or update something in a connected service.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
| name | csv-analyst |
| description | Analyzes CSV or spreadsheet data with statistics, charts, joins, and clear findings. Use when the user uploads CSV/XLSX data or asks for data analysis, cohort analysis, charts, or spreadsheet insight. Do NOT trigger for document-only research. |
| category | Data & Media |
| tags | data, csv, analysis, charts |
| license | MIT |
| compatibility | Requires sandbox Python and data tools. |
Analyze tabular data reproducibly. Profile first, then answer the user's business question with code-backed findings, charts, caveats, and exportable artifacts.
fs_list or ask for it if missing.data_analyze_csv or focused Python via runCode to profile the file./workspace/analysis/.| Task | Default method |
|---|---|
| Basic profile | row count, column count, missingness, examples |
| Type cleanup | parse dates, numerics, booleans; preserve raw columns when risky |
| Trend analysis | group by date periods, include sample sizes |
| Cohorts | define cohort date explicitly, include retention denominators |
| Outliers | show detection rule and top examples |
| Joins | validate key uniqueness before joining |
/workspace/analysis/reference.md - profiling checklist, chart selection, and common CSV failure modes.