Does this skill support Vercel?

Yes, it is optimized for Vercel, utilizing stdout for automatic log capture and providing Next.js-specific Sentry configurations.

How does it handle sensitive user data (PII)?

The skill includes pre-configured patterns for PII redaction within Sentry client configurations to ensure sensitive information like passwords and emails are scrubbed before transmission.

Can Claude fix production errors automatically with this skill?

Yes, by utilizing the Sentry MCP server integration, Claude can query error details, analyze logs, and propose or apply fixes for production issues directly.

What services are required to use this skill?

This skill follows a minimalist approach, primarily requiring Sentry for error tracking and PostHog for analytics to keep your infrastructure footprint light.

Is uptime monitoring included?

Yes, the skill automates the creation of a standardized /api/health endpoint that checks application status and service connectivity for uptime monitoring.

Observability & Error Tracking

Name: Observability & Error Tracking
Author: phrazzld

byphrazzld

•

分析与监控

Implements production-grade observability infrastructure including error tracking, structured logging, and health monitoring for indie developers.

This skill provides a complete observability framework optimized for minimalist, CLI-driven development. It automates the setup of Sentry for error tracking and performance, PostHog for product analytics, and structured JSON logging compatible with Vercel. By focusing on a 'two-service' philosophy and integrating with MCP servers, it enables Claude to proactively audit, fix, and verify production issues while maintaining high visibility into application health through automated health check endpoints and alerting rules.

主要功能

01PostHog setup for unified product analytics and feature flag management

02AI-agent integration via Sentry and PostHog MCP servers for automated triage

03Automated Sentry integration with PII redaction and source map support

04Structured JSON logging implementation for seamless Vercel integration

053 GitHub stars

06Automated creation of /api/health endpoints for uptime monitoring

使用场景

01Migrating from complex observability stacks to a streamlined, CLI-manageable workflow

02Setting up production-ready error monitoring for a new Next.js or TypeScript project

03Automating error triage and root cause analysis using Claude's MCP capabilities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add phrazzld/claude-config observability

For use in Claude.ai and ChatGPT

主要功能

01PostHog setup for unified product analytics and feature flag management

02AI-agent integration via Sentry and PostHog MCP servers for automated triage

03Automated Sentry integration with PII redaction and source map support

04Structured JSON logging implementation for seamless Vercel integration

053 GitHub stars

06Automated creation of /api/health endpoints for uptime monitoring

使用场景

01Migrating from complex observability stacks to a streamlined, CLI-manageable workflow

02Setting up production-ready error monitoring for a new Next.js or TypeScript project

03Automating error triage and root cause analysis using Claude's MCP capabilities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add phrazzld/claude-config observability

For use in Claude.ai and ChatGPT