pr-review-standards
Code quality standards for PR review agents including try/except rules, logging patterns, type hints, and verification requirements. Use when reviewing code, spawning PR review agents, or validating code quality.
debugging-strategies
Systematic debugging including root-cause tracing (trace backward through call stack), reproduction strategies, pdb/debugpy usage, logging analysis, binary search debugging, and error pattern recognition. Use when debugging errors, tracing bugs through call stacks, investigating production issues, or reproducing intermittent bugs.
conversation-logging
Global hooks for logging Claude Code conversation events to markdown files. Tracks prompts, tool usage, and responses across all sessions. Useful for debugging, auditing, and providing conversation context to Claude.
conport-memory
Access Context Portal (ConPort) as persistent project memory via MCPorter. Load/update project context, log decisions and progress, track patterns. Use PROACTIVELY at session start to load context and throughout work to log decisions. Combats AI amnesia across sessions.
chronicle-protocol-v5-log
Log events using Chronicle Protocol v5 structured format.
logging-observability
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
python-log-expert
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working with Python logs, troubleshooting logging issues, implementing logging best practices, or analyzing structlog source code implementation. Includes complete structlog source code in source/structlog/ for deep implementation analysis. Requires structlog package.
monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
docker-production
Deploy Docker containers to production with monitoring, logging, and health checks
observability
Logging, metrics, and distributed tracing. OpenTelemetry, Prometheus, Grafana, and production debugging.
monitoring
Master Kubernetes observability, monitoring with Prometheus, logging, metrics, and distributed tracing. Learn to implement comprehensive monitoring strategies.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
structured-logging
Apply structured logging best practices using Pino for Node.js applications: JSON output, log levels, context, redaction, correlation IDs, and centralization. Use when implementing logging, reviewing log statements, or discussing observability.
python-observability-patterns
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
trace-claude-code
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api-error-handling
Implement comprehensive API error handling with standardized error responses, logging, monitoring, and user-friendly messages. Use when building resilient APIs, debugging issues, or improving error reporting.
