tomikng/superset/debug-with-sentry

Claude Code and agent skill by tomikng/superset

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Root-cause a production error with Sentry's evidence before touching code — pull the issue, read the stack trace and breadcrumbs, and separate the crash from its trigger. Use when the user pastes a Sentry link or issue ID, reports a production error, or asks why something is crashing for users.

Install

npx vskill@latest install tomikng/superset/debug-with-sentry

SKILL.md

Root-cause with the evidence, not the guess

A Sentry issue is a claim about what broke. The job is to turn it into a claim about why it broke, backed by the event data, before anyone edits code.

1. Get the real issue, not the search hit

A pasted URL or short ID (PROJECT-123) goes straight to get_issue_details. A described error ("users can't check out") goes through search_issues first, but treat the results as candidates: match on the error type and the affected code path, not on title similarity. If two issues share a message but differ in stack trace, they are two bugs.

2. Read the stack trace like a diff

Fetch the newest event's stack trace. The top frame is where it crashed, not where it broke — walk down until you leave library code and hit the first frame owned by this repo. That frame and its local variables are the starting point. Cross-check the file against the working tree: production runs a release, and the line numbers may belong to code that has since changed. find_releases tells you which version the events come from.

3. Use the distribution before the theory

Before proposing a cause, check what the events have in common:

  • Tags (get_issue_tag_values): one browser, one endpoint, one tenant, one

release? A bug scoped to a dimension names its own trigger.

  • Breadcrumbs: what the user did right before. A crash after a retry storm

is a different bug than the same crash on first click.

  • First seen / volume: an issue that started with a release points at that

release's diff. One that grew slowly points at data or traffic.

Seer (analyze_issue_with_seer) is worth running for a second opinion, but verify its suggested cause against the frames yourself before repeating it.

4. Report cause, scope, and blast radius

The finding is three sentences: what fails, why, and who it hits (volume, affected users, releases). Link the issue. If the user asks for a fix, fix the frame you identified — and only then consider update_issue to assign or resolve, never as a way to make the dashboard quiet.

Anti-patterns

  • Fixing the top frame. The top frame is often a library that faithfully

threw on bad input from three frames below.

  • Trusting the issue title. Sentry titles are the exception message; two

different bugs can share one, and grouping is heuristic.

  • Reading one event. One event is an anecdote; the tag distribution is the

evidence.

  • Resolving without a shipped fix. A resolved issue that regresses comes

back as a new-looking issue and erases its history.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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