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data-analysis
Analyze data patterns, create visualizations, and generate insights from datasets using statistical methods and data science techniques
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。
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Analyze data patterns, create visualizations, and generate insights from datasets using statistical methods and data science techniques
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
| name | data-analysis |
| description | Analyze data patterns, create visualizations, and generate insights from datasets using statistical methods and data science techniques |
Transform raw data into actionable insights. This skill helps you explore datasets, identify patterns, create visualizations, and generate statistical reports.
This skill enables you to:
Use this skill when you need to:
When using this skill:
Dataset: Customer transactions with 10,000 records
Analysis Steps:
Output:
# Customer Analysis Report
## Summary Statistics
- Total Revenue: $2.5M
- Average Order Value: $125
- Number of Customers: 3,450
- Date Range: 2023-01-01 to 2024-01-15
## Key Findings
1. Electronics category drives 42% of revenue
2. Top 20% of customers generate 80% of revenue (Pareto principle)
3. Strong seasonal pattern with peak in Q4
4. Average customer lifetime value: $1,200
## Recommendations
- Focus retention efforts on high-value customers
- Increase inventory for Q4 seasonal demand
- Cross-sell opportunities in Electronics + Home categories
Dataset: Daily pageviews, bounce rate, session duration
Key Metrics Analyzed:
Visualizations Generated:
| Scenario | Analysis Type | Key Metrics |
|---|---|---|
| Sales Data | Trend & Seasonal | Growth rate, Seasonality index |
| Customer Data | Segmentation | RFM score, Cohort analysis |
| Website Data | Behavior | Bounce rate, Conversion funnel |
| Time Series | Forecasting | Trend, Seasonality, Residuals |
| A/B Testing | Hypothesis Test | P-value, Effect size |
This skill uses:
The skill automatically:
For data analysis help:
assets/examples/datasets/scripts/references/Maintains versions of skills, prompts, or documents. Provides version tagging, release management, changelogs, and rollback capabilities. Tracks changes to SKILL.md files, scripts, and resources using git-based version control with semantic versioning.
Maintains versions of skills, prompts, or documents. Provides version tagging, release management, changelogs, and rollback capabilities. Tracks changes to SKILL.md files, scripts, and resources using git-based version control with semantic versioning.
Retrieves and analyzes content from user-provided URLs or search results using the WebFetch tool. Manages domain filtering and max_uses limits to prevent data exfiltration. Use when users provide URLs to fetch, when analyzing web pages, or when following up on search results.
Process and analyze PDF documents including text extraction, table extraction, chart analysis, and visual content understanding. Use when working with PDFs, extracting structured data, generating summaries, or converting PDFs to other formats (markdown, JSON, CSV).
Analyzes and processes images using Claude's vision capabilities. Supports OCR, image classification, diagram comparison, chart analysis, visual Q&A, and more. Use when users need to understand, extract, or analyze visual content.
Condenses long documents, conversation logs, or transcripts into concise summaries. Supports retrieval from memory/files, multiple output formats (bullet points, paragraphs, executive summary), and customizable detail levels. Use when the user needs to quickly understand large amounts of text content.