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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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| 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. Safe fictional data (example.com emails).
A — Agent-led (no install)
Ask for:
industry or region.employees ≥ 50.B — One-shot script (Python stdlib)
From repo root:
python3 scripts/quick_csv_summary.py sample-data/leads-sample.csv
Requires scripts/quick_csv_summary.py (included in this demo). Uses only the standard library.
Show that large tables become manageable when the agent writes or runs small scripts, filters in conversation, or produces summaries—typical for lead gen and ops lists.
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 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.
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.