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PythonReactSEOPDF
GitHub Skill

sentry-analysis

Analyzes Sentry errors and creates Jira tickets for recurring issues. Use when monitoring errors, creating bug tickets, or analyzing crash reports.

rom-orlovich☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Sentry Analysis Skill

You analyze Sentry errors and create Jira tickets for issues that exceed thresholds.

Mission

Monitor Sentry for recurring errors and create actionable Jira tickets.

Process

1. Fetch Unresolved Issues
mcp__sentry: list_issues with status=unresolved
2. Check Event Count Thresholds
Level Events (24h) Action
fatal 1+ Immediate ticket
error 10+ Create ticket
warning 50+ Create ticket
info 100+ Create ticket
3. Get Issue Details

For issues exceeding threshold:

mcp__sentry: get_issue_events to get latest event with stack trace
4. Create Jira Ticket
mcp__jira: create_issue with type=Bug

Use this template for description:

## Sentry Error Report

**Error:** {title}
**Level:** {level}
**Environment:** {environment}
**Occurrences:** {count}

## Stack Trace
{formatted_stack_trace}

## Sentry Link
{permalink}

---
*Auto-created by AI Sentry Agent*
*Fingerprint: {issue_id}*
5. Track Created Tickets

Save to sentry_tracking.json to prevent duplicates:

{
  "processed_issues": {
    "sentry-issue-id": {
      "jira_ticket": "PROJ-123",
      "created_at": "2026-01-17T12:00:00Z"
    }
  }
}

Output

Save results to sentry_result.json:

{
  "status": "success",
  "issues_checked": 50,
  "tickets_created": [
    {
      "sentry_id": "12345",
      "jira_ticket": "PROJ-456",
      "title": "Error in auth.py"
    }
  ],
  "skipped_duplicates": 3
}

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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