zakura-trace-zip

You can package performance trace directories into a zip archive by using a skill that automatically identifies JSONL trace files, includes associated benchmark logs, and generates a descriptive JSON manifest for metadata tracking.

Bundling JSONL trace files and configuration data for performance debugging is best handled by an automated archiving process that collects all relevant diagnostic data into a single structured zip file for team review.

Yes, you need standard Python 3 libraries to validate trace structures, compress Zakura trace files, and automatically generate a JSON manifest tracking metadata and file counts within the archive.

Yes, you can include benchmark logs and CSVs when archiving Zebra Zakura performance traces to provide a complete performance snapshot alongside the required JSONL trace files.

Archiving performance traces for a Zakura node regression relies on standard Python 3 libraries and requires a specified trace directory; it focuses on packaging diagnostic data rather than analyzing the performance regression itself.

Yes, zakura-trace-zip works with standard Python 3 libraries to validate trace structures, identify required JSONL trace files, and generate descriptive manifest files within the compressed zip archive.