fix-sentry-issues

Use Sentry MCP to discover, triage, and fix production issues with root-cause analysis. Use when asked to fix Sentry issues, triage production errors, investigate error spikes, or clean up Sentry noise. Requires Sentry MCP server. Triggers on "fix sentry", "triage errors", "production bugs", "sentry

By brianlovin · 2,097 installs

npx skills add brianlovin/agent-config --skill fix-sentry-issues

Source repository · Upstream listing

Fix Sentry Issues Philosophy The Sentry error is not the problem. It's a signal. Your goal is not to close the Sentry issue. Your goal is to discover the root cause, understand what's wrong with the application, and fix the underlying defect. Closing the Sentry issue is a side effect of doing that correctly. Ask "Why does this fail?" — not "How do I make Sentry quiet?" Never treat log level changes as fixes. A fallback path means degraded user experience; trace why the primary path fails and fix it upstream. Anti patterns (do not do these) Batch classifying as "expected" without investigation. Seeing a fallback does NOT mean you understand the failure. Trace the full input path. Treating "has a fallback" as "not a problem." Why does the primary path fail? Can we prevent it upstream? Combining multiple issues into one PR. Each has its own root cause. Fix individually (except when investigation proves identical cause). Throwing away error details. Never remove error from catch (error) or strip status codes. That data is how you understand failures. Deciding the fix during triage. Classify as "Investigate" or "Ignore" only. You don't know the fix until investigation is complete. Log level downgrade is valid ONLY for genuinely expected states (e.g., optional column missing, resource deleted) — NOT for failures with fallbacks. Phase 1: Discover & Triage Use Sentry MCP ( ToolSearch first to load tools): find organizations → find projects → search issues with naturalLanguageQuery: "all unresolved issues sorted by events" . Build a triage table. Action = Investigate or Ignore only: ID Title Events Action Reason PROJ A Error in save 14 Investigate User facing save failure PROJ B GM register... 3 Ignore Greasemonkey extension Investigate: multiple events, degraded user experience, high volume warnings, recurring on every run. Ignore: browser extension code, ChunkLoadError (self resolving), single event transients, already fixed. Apply: mcp sentry update issue(..., status: "ignored") or status: "resolved" for already fixed. Phase 2: Investigate (one issue at a time) Work through these steps in order . Do not skip or batch issues. 1. Pull event level data — Issue summaries hide details. Use get issue details and search issue events with naturalLanguageQuery: "all events with extra data" . Extract: URLs, params, stack traces, status codes, timestamps. 2. Cross reference Axiom — Events have traceId . axiom query "['shiori events'] where traceId == '<traceId '" f json for surrounding context (authMethod, client version, request metadata). 3. Read the failing code path — Follow the stack trace. Read every file. Understand before proposing changes. 4. Trace the input path upstream (most often skipped, most important) — What data reaches the failing function? Should it have reached this path at all? Is there a missing filter? Is the input wrong (binary URL, redirect, bad format)? Can we prevent bad inputs upstream? 5. Reproduce — Use actual failing inputs from Sentry. Call the function with exact data. fetch() the URLs that timed out. Verify your understanding. 6. Identify root cause — Why does this input fail? Why does it reach this path? What's the right fix? (e.g., "Filter binary URLs before Firecrawl" — not "suppress the log") Pattern Real Fix External API fails on certain URLs Filter/validate inputs before sending Timeout Investigate what's slow; adjust timeout or input size DB "invalid json" Sanitize before insert Stale reference on cron Detect staleness, auto clean Phase 3: Fix One branch per issue. git checkout main && git pull && git checkout b fix/<descriptive name Tests first — Use data from actual Sentry events. Test fails before fix, passes after. Implement — Fix the root cause, not the symptom. If the fix is primarily a log level change, STOP: did you investigate why it fails, or just suppress? Verify — Tests pass, lint passes, fix handles actual failing inputs. PR — Include Root cause (upstream reason) and Fix (what changed and why it prevents the failure). Resolve in Sentry only after merge.