Detect project stacks and generate structured logging with OpenTelemetry support.
npx skills add https://github.com/tyroneross/build-loop --skill logging-tracer
Please help me install this Agent Skill. Skill: logging-tracer Source: https://github.com/tyroneross/build-loop/tree/main/skills/logging-tracer Command: npx skills add https://github.com/tyroneross/build-loop --skill logging-tracer
The logging-tracer Skill helps you add logging and tracing capabilities to your projects, improving observability and aiding in debugging.
To enable logging-tracer, add it to your project and use it to automatically generate logging code tailored to your stack.
High-intent search queries and answers about installing and using this skill.
Structured logging and tracing can be added by automatically detecting your project stack and generating stack-appropriate diagnostic code. This approach offers tiered implementation options ranging from zero-dependency file-based logging to full OpenTelemetry integration.
OpenTelemetry-enabled tracing code is generated through a tiered code generation process that detects your application type and existing logging frameworks. It provides reactive instrumentation that adds diagnostic logging without affecting final code unless explicitly approved.
Yes, the logging tracer works with existing logging frameworks by performing automatic stack detection to identify what is already in place. It then generates stack-appropriate logging code that integrates with your current setup rather than replacing it.
You can add observability without new dependencies using the zero-dependency logging tier, which generates file-based structured logging. This provides immediate diagnostic capabilities reactively, with options to scale up to OpenTelemetry support if needed later.
Ephemeral instrumentation is ideal when you need reactive debugging and observability during development without permanently altering your codebase. It adds diagnostic logging temporarily by default, ensuring final code remains unaffected unless you explicitly approve the changes.
Automatic stack detection identifies your project's technology stack and existing logging frameworks to ensure generated code is appropriate for your environment. This prevents compatibility issues and tailors structured logging and tracing output to match your specific application type.
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