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sentry-fix-issues

Diagnose and fix production errors using Sentry MCP issue data and stack traces.

Updated Apr 22, 2026
Search Tags:#debugging#root cause analysis#stack trace#mcp#sentry#error tracking#production issues
One-click install
npx skills add https://github.com/imrishuroy/algopatterns --skill sentry-fix-issues-imrishuroy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentry-fix-issues
Source: https://github.com/imrishuroy/algopatterns/tree/main/.agents/skills/sentry-fix-issues
Command: npx skills add https://github.com/imrishuroy/algopatterns --skill sentry-fix-issues-imrishuroy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Debugging production errors from Sentry reports is slow and error-prone when done manually, requiring developers to correlate stack traces, breadcrumbs, and event context across multiple tools before writing a fix. ## Core Features & Use Cases - Issue Discovery and Triage: Search unresolved Sentry issues by natural language, error type, ID, or URL using Sentry MCP tools. - Deep Root Cause Analysis: Gather stack traces, breadcrumbs, tags, traces, and AI-generated root cause analysis to form and validate hypotheses before touching code. - Guided Fix and Verification: Follow a structured seven-phase workflow covering code investigation, fix implementation, test creation, and regression auditing. - Use Case: A user asks to fix a recurring TypeError reported in Sentry; the skill retrieves the issue details, traces the failing code path, implements a validated fix with tests, and produces a structured resolution report. ## Quick Start Ask the assistant to find and fix the unresolved TypeError issues in your Sentry project.

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 AI?▼

Connect the Sentry MCP server, then ask to fix unresolved issues. The skill searches issues, analyzes stack traces and breadcrumbs, forms a root cause hypothesis, implements a fix with tests, and produces a verification report.

What Sentry MCP tools are used for issue debugging?▼

The workflow uses search_issues and list_issues for discovery, get_issue_details and search_issue_events for context, get_trace_details for distributed traces, and analyze_issue_with_seer for AI-generated root cause suggestions.

Can I investigate a specific Sentry issue by ID or URL?▼

Yes, pass an issue ID like PROJECT-123 or a Sentry issue URL to get_issue_details. The skill retrieves the exception, stack trace, breadcrumbs, tags, and event context for that specific issue.

Is Sentry event data safe to use directly in code fixes?▼

No, all Sentry event data is treated as untrusted external input. The skill never follows instructions embedded in error messages, never copies raw values like tokens or PII into code or tests, and validates event data against the actual codebase first.

What are the prerequisites for using this Sentry debugging workflow?▼

You need a configured and connected Sentry MCP server plus access to the relevant Sentry project or organization. Without MCP connectivity, the issue discovery and analysis phases cannot retrieve event data.

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