Upsonic

Perform structured code reviews with actionable feedback. Use when a user asks to review code, check code quality, find bugs, audit security, improve performance, or assess maintainability. Trigger when user says things like "review this code", "check for bugs", "is this code secure", "any issues with this", "code quality check", or pastes code asking for feedback. Also trigger for pull request reviews and pre-merge code checks. Do NOT trigger for writing new code from scratch, refactoring requests without review context, or general programming questions.

Analyze, explore, clean, and visualize datasets with statistical rigor. Use when user asks to analyze data, find patterns, compute statistics, create visualizations, clean messy data, or explore a dataset. Trigger when user says things like "analyze this data", "what trends do you see", "find patterns in", "create a chart", "clean this dataset", "run statistics on", "what does this data tell us", or provides CSV/Excel/JSON data for exploration. Also trigger for A/B test analysis, cohort analysis, and data quality assessments. Do NOT trigger for simple data format conversions, database query writing without analysis, or ETL pipeline design.

Summarize documents, articles, conversations, code, and technical content into concise, accurate summaries. Use when user asks to summarize, condense, create a TL;DR, write an executive summary, extract key points, or distill content. Trigger when user says things like "summarize this", "give me the key points", "TL;DR", "what are the main takeaways", "condense this", "brief me on this", or provides long content asking for a shorter version. Also trigger for meeting notes summaries, research paper abstracts, and changelog summaries. Do NOT trigger for rewriting or paraphrasing at similar length, translation, or content generation from scratch.

Use this agent when you need to create unit tests for your code in unittest.TestCase format, organized in a tests folder with concept-based subfolders. Examples: <example>Context: User has just written a new authentication module and needs comprehensive unit tests. user: 'I just finished writing my user authentication functions in auth.py. Can you help me create unit tests for them?' assistant: 'I'll use the unittest-generator agent to create comprehensive unit tests for your authentication module.' <commentary>Since the user needs unit tests created for their authentication code, use the unittest-generator agent to create properly structured tests in the tests folder with appropriate subfolder organization.</commentary></example> <example>Context: User has implemented new data validation functions and wants to ensure they're properly tested. user: 'I've added several validation functions to my utils.py file. I need unit tests to make sure they handle edge cases correctly.' assistant: 'Let me use the unittest-generator agent to create thorough unit tests for your validation functions.' <commentary>The user needs unit tests for their validation functions, so use the unittest-generator agent to create comprehensive tests with edge case coverage.</commentary></example>