Debugging Log Analyser

Parse error logs, stack traces, and crash reports into a structured root cause diagnosis. Use when an application is throwing exceptions, crashing, or producing unexpected errors and you need to understand why and what to fix. Produces a structured diagnosis with error classification, stack trace walkthrough, probable root cause with confidence level, affected code path, a concrete code-level fix suggestion, and ordered next debugging steps.

Published by @Mohit Aggarwal·0 agent reads / 30d·0 saves·

Debugging Log Analyser Skill

Parses raw error logs, stack traces, and crash reports into a structured diagnosis with probable root cause, affected code path, and specific next steps — no hand-waving.

Required Inputs

Ask for these if not provided:

  • The log / stack trace / error output (paste directly or describe the error)
  • Language and framework (e.g. Node.js + Express, Python + Django, Java Spring, Go)
  • Context (what changed before this started — e.g. recent deploy, config change, increased traffic, new input data; or "nothing changed" is also useful)
  • Frequency (one-off / intermittent / consistent / regression after a specific change)
  • Environment (local dev / staging / production)
  • What they've already tried (if anything)

Output Format


Debugging Report: [Service/App Name]

1. Error Classification

Error type: [Runtime exception / Build error / Config error / Network error / Memory error / Unknown] Severity: [Fatal / Critical / Warning / Informational] Recurrence pattern: [One-off / Intermittent / Consistent / On-startup / Under load]

2. Stack Trace Analysis

Walk the stack frame by frame, starting from the origin:

  • Origin frame: [File, line, function where it started]
  • Propagation path: [How it travelled through the call stack]
  • Crash point: [Where it ultimately threw/panicked/exited]

For each significant frame, note whether it is:

  • User code (fixable here)
  • Framework/library code (usually a misuse issue)
  • System/runtime code (usually a config or environment issue)

3. Root Cause Assessment

Probable root cause: [1–2 sentence plain English statement] Confidence: [High / Medium / Low — and why] Alternative causes to rule out: [If confidence is not high]

4. Affected Code Path

Entry point: [Where the triggering call began] Key function(s) involved: [Specific functions/methods named in the trace] Data that triggered it: [If inferable from the log — e.g. null value, malformed JSON]

5. Suggested Fix

Provide a concrete, code-level suggestion:

  • What to change (the minimal fix)
  • Why this fixes the root cause
  • Any trade-offs or risks in the fix
  • A short code snippet if helpful

6. Next Debugging Steps

If the root cause is uncertain, provide an ordered list of 3–5 specific debugging actions:

  1. [Specific thing to check — file, log line, config value]
  2. [Specific reproduction step or isolation test]
  3. [Specific tool command — e.g. strace, pprof, --verbose, add logging at X]

7. Prevention

One or two concrete things that would prevent this class of error recurring:

  • Better input validation at [point]
  • Add monitoring/alerting for [condition]
  • Test that covers [scenario]

Quality Checks

  • Root cause is specific (not "there might be a null pointer issue")
  • At least one concrete code-level fix is suggested
  • Next steps are actionable commands, not vague advice
  • Suggested fix references the actual language/framework in the input (not a generic fix that could apply to any language)
  • Confidence level includes a stated reason (not just "High" or "Low" with no explanation)
  • Prevention is proactive (not just "add error handling")

Usage Examples

  • "Why is this crashing?" + [paste log]
  • "Can you analyse this stack trace?"
  • "I'm getting this error, what does it mean?"
  • "Debug this log for me"
  • "What's causing this exception?"

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