Sentry Skills

Creates and maintains concise AGENTS.md and CLAUDE.md project instruction files.

Writes and reviews technical blog posts to the standards and voice of the Sentry engineering blog.

Analyses a repository and recommends Claude Code settings.json permissions for its tech stack and tools.

Reviews pull requests the way Sentry engineers do, covering security, performance, testing and design.

Simplifies and refines code for clarity, consistency and maintainability while keeping its behaviour.

Creates Sentry-style conventional commits with issue references.

Reviews Django code for performance problems such as N+1 queries and slow querysets.

Finds bugs, security vulnerabilities and code quality issues in the changes on the current branch.

Reviews GitHub Actions workflows for vulnerabilities that could be exploited.

Iterates on a pull request until CI passes and high and medium review feedback has been addressed.

Writes or refreshes pull request titles and descriptions for reviewers.

Creates data-driven presentation slides with React, Vite and Recharts in Sentry branding.

Creates, optimises and refines agent prompts, system prompts and reusable prompt templates.

Reviews code for security vulnerabilities such as injection, XSS and authentication or authorisation flaws.

Scans agent skills for security problems such as prompt injection before you install them.

Creates and improves agent skills according to the Agent Skills specification.

Finds and fixes issues reported in Sentry through its MCP server, analysing stack traces, breadcrumbs and traces.

Sets up the Sentry SDK in a Next.js app: error monitoring, tracing, session replay, logging and profiling.

Sets up the Sentry SDK for Node.js, Bun and Deno: error monitoring, tracing, profiling and logging.

Sets up the Sentry SDK in a Python app: error monitoring, tracing, profiling, logging, metrics and crons.

Sets up the Sentry SDK in a React app: error monitoring, tracing, session replay, profiling and logging.

Sets up Sentry in any language or framework by detecting the platform and loading the matching SDK skill.

Sets up Sentry AI Agent Monitoring to track LLM calls, agents and conversations across the common AI SDKs.

Creates Sentry alerts through the workflow engine API, with notifications to email, Slack, PagerDuty and Discord.