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By pydantic
Auto-instrument Python, JavaScript/TypeScript, and Rust apps with Logfire observability for traces, logs, and metrics using OpenTelemetry SDKs. Debug production errors by querying traces, running SQL on OTEL data, suggesting fixes, and sharing links. Start local dev sessions to provision credentials and send traces to Logfire UI. Connect remotely via MCP for logs, traces, and spans.
npx claudepluginhub pydantic/skills --plugin logfireOfficial Claude Code plugin marketplace for the Pydantic ecosystem.
| Plugin | Description | Commands |
|---|---|---|
| logfire | Add Logfire observability to Python apps | /instrument, /debug |
| ai | Build AI agents with Pydantic AI | — |
Add this marketplace to Claude Code:
claude plugin marketplace add pydantic/skills
Then install a plugin:
claude plugin install logfire@pydantic-skills
claude plugin install ai@pydantic-skills
The skills/ directory contains standalone SKILL.md files compatible with 30+ agents via the agentskills.io standard - including Codex, Cursor, Gemini CLI, and Claude Code.
| Skill | Description |
|---|---|
| logfire-instrumentation | Add Logfire observability to Python, JS/TS, and Rust apps |
| building-pydantic-ai-agents | Build LLM-powered agents with Pydantic AI — tools, capabilities, streaming, testing |
Test a plugin locally:
claude --plugin-dir ./plugins/logfire
External network access
Connects to servers outside your machine
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Build production-grade AI agents with Pydantic AI — tools, capabilities, structured output, streaming, and testing patterns
Observability engineering agents providing expertise in tracing, monitoring, and logging
Traceway skills: /tw:traceway debugs production issues through the traceway CLI, /tw:traceway-setup instruments a project to report to a Traceway instance.
OpenTelemetry skills and reference documentation for AI coding assistants
Kolo is a text-based Python debugger for AI agents. Capture every executed function, return value, local variable, HTTP request, and SQL query into greppable trace files.
Editorial "Observability & Monitoring" bundle for Claude Code from Antigravity Awesome Skills.
Build production-grade AI agents with Pydantic AI — tools, capabilities, structured output, streaming, and testing patterns
Captures Claude Code sessions and exports pydantic-ai compatible OTel traces to Pydantic Logfire, with local JSONL fallback.
Pydantic Logfire observability platform integration. Query traces, monitor application performance, analyze logs, and debug issues directly from Claude Code.
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