Summary
You're adding Sentry instrumentation and can't decide if something should be an error, span, log, or metric. This skill is the decision framework: errors need stack traces and get tracked as Issues, traces show where time went in the request waterfall, logs capture what was true at one decision point, and metrics let you chart trends and alert on rates. It walks through the overlaps (span attribute vs metric, log vs span) with a tiebreaker table, then shows a fully instrumented request handler in Python and TypeScript. Decides what to emit, not how to wire it up. Hand off to the language specific SDK skills for actual implementation once you know which signal you need.
Install to Claude Code
npx -y skills add getsentry/sentry-for-ai --skill sentry-instrumentation-guide --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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