What problem does it solve?
Debugging a pasted stack trace usually requires manually parsing the traceback, searching the repository, checking git history and issues, and guessing at root causes. This Skill automates that entire investigation workflow and produces a structured diagnosis report with ranked hypotheses and verification commands.
Core Features & Use Cases
- Parallel Evidence Gathering: Runs repository grep, GitHub issue search, git history, diff context, memory recall, and language-specific probes concurrently after parsing the trace once.
- Language-Aware Routing: Classifies Python, JavaScript, TypeScript, Go, or Rust traces and routes to a language-specific probe for idiomatic checks and reproducer shapes.
- Graceful Degradation: Every evidence step has a degraded fallback, so the final report still delivers trace-contract analysis, exact search commands, and patch direction when repository access is unavailable.
- Use Case: Paste a Python KeyError traceback from a tool-result parser and receive a report with exception semantics, a ranked root-cause matrix, reproduction snippets, patch targets, and read-only verification commands.
Quick Start
Paste your traceback into the chat and ask the agent to investigate this stack trace and find the root cause.