exploratory-data-analysis
byminicoohei· 52 skills
200以上のファイル形式に対応した探索的データ分析（EDA）スキル。 「データを分析して」「EDAして」「ファイルの中身を調べて」等のリクエストで発動。 ファイル自動検出、品質評価、統計サマリー、可視化推奨を含むレポート生成。
How to install exploratory-data-analysis?
minicoohei/ai-agent-camp/exploratory-data-analysis
$npx -y skills add minicoohei/ai-agent-camp --skill exploratory-data-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/minicoohei/ai-agent-camp" --skill "minicoohei/ai-agent-camp/exploratory-data-analysis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/minicoohei/ai-agent-camp" that are relevant to the current task. Run `npx skills add "https://github.com/minicoohei/ai-agent-camp"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-kustoQuery and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis.Jul 2026
- analyticsWhen the user wants to set up, improve, or audit analytics tracking and measurement.Jul 2026
- firecrawl-dashboard-reportingPull metrics from analytics dashboards and internal web tools with Firecrawl browser.Jun 2026
- data-storytellingTransform data into compelling narratives using visualization, context, and persuasive structure.Jul 2026
- data-visualizationCreate effective data visualizations with Python (matplotlib, seaborn, plotly).Jul 2026
- extension-oqlMake a canister's data queryable by the Caffeine Data Intelligence agent.Jul 2026
