Automatically detect and configure Sentry monitoring for LLM calls, agents, and AI SDKs.
Run in your terminal
Auto-detects installed AI packages (OpenAI, Anthropic, LangChain, Google GenAI, Vercel AI, Pydantic AI, and others) and enables appropriate integrations with zero manual registration in Python
Requires tracing enabled ( tracesSampleRate > 0 ) and supports manual span instrumentation via gen_ai.* operation types for unsupported SDKs
Captures model, token counts, and latency by default; prompt and
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsentry-setup-ai-monitoringExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-setup-ai-monitoringFetches sentry-setup-ai-monitoring from getsentry/sentry-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate sentry-setup-ai-monitoring. Access via /sentry-setup-ai-monitoringin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Package manager
npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-setup-ai-monitoringWorks with
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this week
19
GitHub stars
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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sentry-setup-ai-monitoring is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: sentry-setup-ai-monitoring is focused, and the summary matches what you get after install.
sentry-setup-ai-monitoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in sentry-setup-ai-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: sentry-setup-ai-monitoring is focused, and the summary matches what you get after install.
sentry-setup-ai-monitoring is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in sentry-setup-ai-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added sentry-setup-ai-monitoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
sentry-setup-ai-monitoring fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: sentry-setup-ai-monitoring is the kind of skill you can hand to a new teammate without a long onboarding doc.
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