Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends.
| name | data-analyzer |
| description | Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends. |
Analyze data and provide statistical insights.
Provide analysis in this structure:
## Data Overview
- Total records: X
- Columns: [list]
## Key Statistics
| Metric | Value |
|--------|-------|
| ... | ... |
## Insights
- Finding 1
- Finding 2
Incrementally update Mintlify documentation (.mdx) from Python source changes only. Use when: (1) Python files referenced in doc_code_map frontmatter have changed, (2) a PR touches Python modules documented in docs/mintlify/key_modules/ or docs/mintlify/mcp/, (3) the user asks to sync docs after Python code changes. Prefer minimal diffs and leave correct content untouched.
Guide for creating effective skills. Use when creating a new skill or updating an existing skill that extends agent capabilities with specialized knowledge, workflows, or tool integrations.
Review code for quality, bugs, and improvements. Use when user wants code review or quality assessment.
Generate professional reports from analysis results. Use when user needs to create formatted documents summarizing findings.
