Analyze Sentry issues, spans, crashes, and performance metrics. Use when user requests check in Sentry, asks about performance metrics and spans or asks about crash rates.
84%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
Use Sentry skill when:
The Sentry MCP server is configured in .mcp.json and gives Claude Code direct access to Sentry.
Setup (one-time per engineer): On first use, Claude Code will open a browser OAuth login to Sentry. Sign in and authorize — no manual token setup required.
Use these tools for data analysis:
| Tool | Purpose |
|---|---|
mcp__sentry__find_releases | Find release versions for scoping queries |
mcp__sentry__search_issues | Search for errors/crashes by query, project, date range |
mcp__sentry__search_events | Query raw events/spans (performance data, durations) |
mcp__sentry__search_issue_events | Get individual events for a known issue ID |
mcp__sentry__get_issue_tag_values | Inspect tag distributions (e.g. device, version) on an issue |
mcp__sentry__get_sentry_resource | Fetch a specific Sentry resource by URL/ID |
Do not use mcp__sentry__analyze_issue_with_seer — AI analysis is out of scope for this skill.
Always use:
expensifyappExpensify/App
40f7032
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.