What problem does it solve? Triaging Sentry errors manually requires digging through stacktraces, tags, releases, and Jira to decide severity and next steps. This Skill automates that deep analysis so engineers get a structured triage report and a clear action choice without re-fetching data. ## Core Features & Use Cases - Five-Dimension Analysis: Evaluates trigger source, impact, error patterns, infrastructure context, and related Sentry issues using gathered context and Sentry MCP tools. - Severity Classification: Applies a CRITICAL/HIGH/MEDIUM/LOW rubric based on user impact, exception handling, and release correlation. - Jira Duplicate Detection: Searches Jira via acli or Atlassian MCP for existing tickets before recommending actions, and probes sentry-cli availability for downstream automation. - Use Case: After running /sentry-triage on a production NoMethodError affecting 45 users, this Skill correlates the issue with release v2.3.1, finds no existing Jira ticket, classifies it HIGH, and presents Archive, Jira, or Slack escalation options. ## Quick Start Ask the assistant to analyze the Sentry issue context passed from /sentry-triage and classify its severity with recommended triage actions.