connect
Connect Logfire MCP and optionally record Claude Code sessions with native telemetry
Use Logfire traces to investigate errors and debug production issues
> /plugin marketplace add pydantic/skillsHow it fires
How this command gets triggered: by you, by Claude, or both.
/debugContext preview
What this command does when you run it.
Use Logfire traces to investigate errors and debug production issues
name: debug description: Use Logfire traces to investigate errors and debug production issues
Load and follow the `logfire-query` skill for evidence-backed investigation. If the user wants a browser view or link rather than analysis in chat, use the `logfire-ui` skill instead. The user's instructions take precedence over both skills.
Logfire, Pydantic AI, and Pydantic plugins for Claude Code, Codex, and Cursor. Instrument your code with Logfire, query and export the resulting telemetry, build LLM agents with Pydantic AI, and validate data with Pydantic.
Connect Logfire MCP and optionally record Claude Code sessions with native telemetry
Start a local Logfire dev session to send traces from your running app for debugging
Stop native Claude session telemetry while keeping Logfire MCP and skills available
Detect languages and frameworks in the current project and add Logfire instrumentation