Tag: logging
Implementing structured logging and debugging
This skill guides developers on using the `debug` npm package to implement structured logging across LobeHub's various components (server, client, desktop). It details namespace conventions and format specifiers for effective tracing and de…
Analyze Screenpipe CLI and Desktop Logs
This skill provides comprehensive log retrieval and analysis capabilities for the Screenpipe ecosystem. It enables developers to diagnose issues by querying both the core CLI backend and the desktop application logs using advanced filtering…
CloudBase Resource Health and Error Inspector
This skill provides an AIOps-style diagnostic capability for CloudBase environments, enabling comprehensive, read-only health checks across functions, CloudRun, and databases. It aggregates resource status and correlated error logs to ident…
Logging and Debugging Utility for LobeHub Codebase
This skill guides developers on implementing robust logging using the `debug` package across various LobeHub components. It details namespace conventions, format specifiers, and environment-specific methods for enabling debug output in Node…
Request-scoped logging pattern for backend applications
Implements a centralized, request-scoped logging pattern using middleware wrappers for API routes, server actions, and helper functions. This ensures automatic log enrichment with critical context such as request IDs, user IDs, and specific…
Systematic Debugging for OpenClaw Model Behavior
This skill guides developers through systematically debugging OpenClaw discrepancies across various execution environments, such as local tests, live providers, and CI pipelines. It emphasizes using targeted logging flags and defined proof …
Sentry Logging and Error Handling Audit
An automated code review skill designed to enforce correct logging and error handling patterns within the Sentry MCP codebase. It ensures 4xx errors are handled without creating Sentry issues, while 5xx errors are correctly captured via log…
Implementing Canonical Log Lines
Provides architectural guidelines for implementing wide events, or canonical log lines, to facilitate high-cardinality, structured logging for advanced debugging and analytics.
Automated Python Example Runner
Automates the execution of Python examples using uv, providing background process management, detailed logging, and automated re-running of failed tests.