Agent Skills

fix-sentry-issues

devopsbrianlovin2.7K installs

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 issues".

Install

npx skills add https://github.com/brianlovin/agent-config --skill fix-sentry-issues
SKILL.md

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.

Related skills

azure-diagnosticsmicrosoft608KDebug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, aazure-preparemicrosoft608KPrepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azazure-aimicrosoft608KUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.azure-deploymicrosoft607KExecute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: \"run azd up\", \"run azd deploy\", \"execute deployment\",

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers