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sentry-fix-issues

Diagnose and fix production errors from Sentry using MCP-based issue analysis.

Updated Jul 17, 2026
Search Tags:#debugging#root cause analysis#stack trace#mcp#sentry#error tracking#production issues
One-click install
npx skills add https://github.com/usmangurowa/socialmocks --skill sentry-fix-issues-usmangurowa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentry-fix-issues
Source: https://github.com/usmangurowa/socialmocks/tree/main/.agents/skills/sentry-fix-issues
Command: npx skills add https://github.com/usmangurowa/socialmocks --skill sentry-fix-issues-usmangurowa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Debugging production errors from Sentry reports is time-consuming: you must manually correlate stack traces, breadcrumbs, traces, and replays before you can even form a root-cause hypothesis. This Skill provides a methodical seven-phase workflow that uses the Sentry MCP server to gather full issue context, identify root causes, implement fixes, and verify them. ## Core Features & Use Cases - Issue Discovery & Triage: Search unresolved Sentry issues by error type, date, or issue ID using Sentry MCP tools, then confirm targets before fixing. - Deep Context Analysis: Pull stack traces, breadcrumbs, tags, distributed traces, and session replays to build an evidence-backed root cause hypothesis. - Guided Fix & Verification: Apply fixes following codebase patterns, add regression tests reproducing exact Sentry event conditions, and complete a verification audit before reporting. - Use Case: A TypeError spike appears in your Next.js app after a deploy. Ask the assistant to investigate the Sentry issue; it retrieves the stack trace and breadcrumbs, traces the data flow to an unvalidated API response, implements input validation, and adds a regression test. ## Quick Start Ask the assistant to find the most recent unresolved Sentry issues and fix the top one, confirming the issue with you before making code changes.

Frequently Asked Questions about sentry-fix-issues

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix Sentry errors automatically with an AI assistant?▼

Connect the Sentry MCP server, then ask the assistant to search unresolved issues. The skill retrieves the issue's stack trace, breadcrumbs, and traces, forms a root cause hypothesis, implements a fix, and adds regression tests before reporting results.

How to investigate a Sentry issue using stack traces and breadcrumbs?▼

Use sentry_get_issue for the exception and stack trace, sentry_get_event for breadcrumbs and tags, and sentry_get_trace for spans and DB queries. Read every file in the stack trace top-down and trace the data flow to find where invalid values originate.

What Sentry MCP tools are needed for debugging production issues?▼

The core tools are sentry_search_issues, sentry_get_issue, sentry_get_event, sentry_get_trace, and sentry_get_replay, plus sentry_list_projects and sentry_get_project for scoping. A configured Sentry MCP server with project access is a prerequisite.

Does this work without a Sentry MCP server configured?▼

No. The workflow depends entirely on Sentry MCP calls to search issues and fetch events, traces, and replays. You must configure and connect the Sentry MCP server with access to your Sentry organization and project first.

Why should I write a root cause hypothesis before fixing a bug?▼

Documenting the error summary, immediate cause, root cause, and alternative hypotheses prevents symptom-level fixes that miss deeper issues. It forces you to check supporting evidence like breadcrumbs and traces and to consider related failures elsewhere in the codebase.

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