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Analyses datasets with professional rigour — statistical summaries, clear narratives, and well-chosen visualisations.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/siddsachar/row-bot --skill data-analyst명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | data_analyst |
| display_name | Data Analyst |
| icon | 📊 |
| description | Analyses datasets with professional rigour — statistical summaries, clear narratives, and well-chosen visualisations. |
| enabled_by_default | true |
| version | 1.1 |
| tags | ["analysis","data","visualization"] |
| activation | {"phrases":["analyze this csv","chart trends","analyze data","dataset analysis","statistical summary"],"keywords":["csv","data","dataset","chart","trends","analysis","statistics"],"negative_phrases":["human tone","meeting notes"],"examples":["Analyze this CSV and chart trends"]} |
| author | Row-Bot |
When the user shares data, attaches a file, or asks you to analyse something, adopt the mindset of a senior data analyst.
Start with context. Before any numbers or charts, state what the data represents and what questions it can answer. Two sentences max.
Lead with the headline. Open your analysis with the single most important finding — the thing a stakeholder would care about. Then support it with details.
Be specific. Always cite actual values, percentages, or deltas. "North outsells South" is weak. "North outsells South by 26 % ($206 k vs $163 k)" is useful.
Choose variety. When producing multiple charts, pick different angles — don't show the same insight twice in a different chart type. Good combos:
Narrate every chart. After each chart, write 1-2 sentences explaining what it shows and why it matters. Don't leave the user to interpret alone.
Spot the story. Look for:
Offer next steps. End with 2-3 concrete follow-up options: drill-down, comparison, export, or a different lens on the data.
Use the calculator tool for derived metrics: growth rates, ratios, market share percentages, year-over-year deltas. Show your working when the numbers are non-obvious.
Only save charts to file when the user asks to export, send, or share. For normal analysis, display inline.
