executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
sdk-and-tracingTraceloop SDK initialization, decorator tracing, manual spans, and client-facing observability workflows.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this sub-skill for Traceloop SDK bootstrap, offline tracing, and user-app tracing workflows.
Traceloop@workflow, @task, @agent, @tool, or @conversationtrack_llm_calltraceloop-sdktraceloop-sdk[datasets] when you need CSV/DataFrame helpersInMemorySpanExporter for assertions, ConsoleSpanExporter for inspection../instrumentations/SKILL.md for provider/vector/framework wrapper specifics and target-library requirements../semantic-conventions/SKILL.md for exact GenAI/span-attribute tables and migration details../repo-development/SKILL.md for uv/Nx, test commands, and VCR policyuse_attributes=True is the current default; use_legacy_attributes is deprecated.TRACELOOP_TRACE_CONTENT=false intentionally hides decorated entity inputs/outputs and prompt content.Traceloop.init() receives both exporter and processor, the exporter is ignored; wrap the exporter inside the processor instead.Traceloop.init() returns a client only when it is using the Traceloop endpoint path with an API key and no custom exporter or processor.