// Analyze datasets, identify patterns, compute statistics, and generate summary reports. Use when the user provides data to analyze, asks about trends, or needs statistical insights.
Review code for bugs, security issues, performance problems, and style violations. Use when the user asks for a code review, submits code for feedback, or wants to improve code quality.
Create polished written content including blog posts, documentation, emails, reports, and marketing copy. Use when the user needs to write, draft, or generate any form of text content.
Systematically diagnose and fix bugs in code. Use when the user reports an error, unexpected behavior, test failure, or needs help troubleshooting.
Edit and improve existing text for clarity, tone, grammar, and structure. Use when the user submits text for review, asks to improve writing, or needs proofreading.
Search the web for current information, verify facts across multiple sources, and compile cited research summaries. Use when the user asks factual questions, needs current data, or requests research on any topic.
| name | data-analysis |
| description | Analyze datasets, identify patterns, compute statistics, and generate summary reports. Use when the user provides data to analyze, asks about trends, or needs statistical insights. |
| metadata | {"author":"symphony","version":"1.0"} |
Activate this skill when the user:
Present key metrics in a table:
| Metric | Value |
|----------|----------|
| Mean | 42.5 |
| Median | 38.0 |
| Std Dev | 12.3 |
| Count | 150 |
Use side-by-side tables for group comparisons.
Describe trends in natural language with supporting data points.
Use scripts/summarize_csv.py to compute basic summary statistics from CSV data.