Browse skills

Deep-analyze error messages, stack traces, crash logs, and unexpected behavior to identify root causes. Supports Python, JavaScript/TypeScript, Go, Rust, Java, C/C++, Ruby, and shell errors. Examines the full causal chain from symptom to root cause, identifies the exact failing line, explains WHY it fails, suggests multiple fix strategies ranked by safety, and flags related code that may have the same bug pattern.

Parse, search, and analyze application logs: auto-detect format (JSON, syslog, Apache/Nginx, custom), extract error patterns, compute frequency stats, find correlated events, and generate incident summaries. Handles multi-GB logs efficiently via streaming.

Parse, search, and analyze application logs: auto-detect format (JSON, syslog, Apache/Nginx, custom), extract error patterns, compute frequency stats, find correlated events, and generate incident summaries. Handles multi-GB logs efficiently via streaming.

Generates a plain‑English due‑diligence report for any cryptocurrency token, covering purpose, team, technology, tokenomics, market data, and risk factors.

Run a persistent Jupyter kernel for interactive data science: execute cells, keep state across steps, inspect dataframes, and render plots — without re-running the world.