All Skills

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or get distribution stats.

Build natural language processing pipelines for text analysis and understanding

Synthesize insights from multiple research sources into cohesive analysis

Create Excel and CSV files with formulas, formatting, charts, and data analysis

Discovers non-obvious relationships between elements—finds semantic similarities, thematic bridges, and unexpected patterns

Autonomous agent for conducting thorough research and synthesizing findings

Analyzes Reddit submissions for engagement optimization, rule compliance, and community fit

Comprehensive research methodology for gathering and synthesizing information

Forensic root cause analyzer for Antigravity sessions. Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health.

Deep analysis of Git history: identify frequently changed hotspot files, analyze code ownership by contributor, and scan for leaked secrets. Triggered when users ask about Git analysis, code hotspots, who owns what code, secret scanning, security audits of commit history, or optimizing code review assignments.