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`/data-insights` analyzes CSV or Excel data and produces plain-English insights. Use when the user wants quick answers about targets, trends, anomalies, segments, top/bottom performers, averages, and totals.
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 | data-insights |
| version | 0.1.0 |
| description | `/data-insights` analyzes CSV or Excel data and produces plain-English insights. Use when the user wants quick answers about targets, trends, anomalies, segments, top/bottom performers, averages, and totals. |
| allowed-tools | ["Read","Bash","AskUserQuestion"] |
Ask for a CSV or Excel file path if none is provided. Confirm the target column only if it is ambiguous.
The script creates a 3-tab Excel output:
Also summarize the most important findings in the chat.
scripts/requirements.txt if needed.python scripts/analyze_data.py <file>.Read references/framework.md for the full analysis behavior and expected output.
`/ai-use-case-score` scores personal AI use cases on Value x Feasibility x Safety and tiers them into Do Now, Do This Quarter, Park, or Avoid.
`/decision-memo` drafts a 1-page decision memo that forces a yes/no call: context, complication, options, recommendation, risks, and ask.
`/deck-pipeline` runs a four-step presentation workflow: strategist, builder, critic, fixer. Use for high-stakes decks that need narrative structure and a critique pass.
`/gamma-deck` generates a Gamma presentation from a storyline or content file. Use after `/storyline` when the user wants a PPTX or Gamma URL.
`/issue-tree` breaks a complex problem into MECE branches and testable hypotheses. Use before analysis, work planning, strategy decomposition, or case-style problem solving.
`/mckinsey-critic` reviews decks, memos, outlines, and strategies like a consulting engagement manager: grade, section issues, top fixes, and what to preserve.