Standardize TypeScript production logging with pino and PostHog.
npx skills add https://github.com/jjmendezrodriguez/jm-claude-plugin --skill code-logging
Please help me install this Agent Skill. Skill: code-logging Source: https://github.com/jjmendezrodriguez/jm-claude-plugin/tree/main/skills/code-logging Command: npx skills add https://github.com/jjmendezrodriguez/jm-claude-plugin --skill code-logging
This Skill prevents production debugging from turning into guesswork by standardizing structured logging, log levels, redaction, and request correlation across TypeScript services and browser analytics.
logger.child() to propagate a shared requestId through request lifecycles.trace/debug/info/warn/error/fatal with clear paging guidance and operational intent.Use the code-logging skill to tell the AI how to replace your console logging with pino event-name-first logs, add requestId correlation via logger.child, and configure redaction and PostHog session replay masking for your app.
High-intent search queries and answers about installing and using this skill.
Structured logging in TypeScript with pino uses event-name-first payloads and context objects for consistent filtering. You configure log levels and request-scoped logger propagation using logger.child to maintain searchable domain events across service lifecycles.
Request correlation uses logger.child() to propagate a shared requestId through request lifecycles in TypeScript services. This links related logs across endpoints and handlers, ensuring debugging remains reliable when tracing distributed operations.
Redacting sensitive data in production logs requires strict filtering of fields like emails, tokens, passwords, and SSNs. This reduces breach risk by preventing PII exposure while retaining structured event context for observability and analytics.
Pino logging integrates with PostHog to pair server-side logs with browser analytics and session replay masking. This cross-platform observability approach captures context, durations, and correlation across requests without leaking secrets.
This structured logging approach applies to Edge Functions in TypeScript by enforcing safe shipping patterns. It captures context and durations while maintaining strict redaction and consistent log levels for reliable production observability.
Log levels from trace to fatal provide clear paging guidance and operational intent. Use trace and debug for development diagnostics, info for standard operations, and warn through fatal for escalating issues requiring immediate operational attention.
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