菜单
Guides fast exploration of tabular CSV data for lead-style or operational lists. Use when the user works with sample-data/leads-sample.csv, mentions CSV analysis, lead lists, filtering, or summarizing spreadsheet exports.
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
Orients newcomers to this teaching repository and AI-assisted workflows (chat, agent tasks, project skills). Use when the user is new to the repo, asks how to start, what this project demonstrates, or how to preview the demo site.
Guides fast exploration of tabular CSV data for lead-style or operational lists. Use when the user works with sample-data/leads-sample.csv, mentions CSV analysis, lead lists, filtering, or summarizing spreadsheet exports.
Orients newcomers to this teaching repository and Cursor’s workflow (chat, Agent mode, skills, terminal). Use when the user is new to Cursor, asks how to start, what this repo is for, or how to preview the demo site.
| name | analyze-csv-sample |
| description | Guides fast exploration of tabular CSV data for lead-style or operational lists. Use when the user works with sample-data/leads-sample.csv, mentions CSV analysis, lead lists, filtering, or summarizing spreadsheet exports. |
sample-data/leads-sample.csv)Example B2B-style leads: company, contact, industry, geography, size, pipeline stage, and dates. Fictional data using example.com emails.
A — Conversation
Ask for counts by industry / region, filters on stage, or top companies by employees.
B — Script
From repo root:
python3 scripts/quick_csv_summary.py sample-data/leads-sample.csv
Uses Python’s standard library only (see scripts/quick_csv_summary.py).
For broader CSV workflows (exports from CRMs, spreadsheets), the same pattern applies: summarize → filter → export subsets.