Compare Squid SDK deployment sync times from sqd logs into HTML and Markdown reports.
npx skills add https://github.com/subsquid-labs/skills --skill squid-perf
Please help me install this Agent Skill. Skill: squid-perf Source: https://github.com/subsquid-labs/skills/tree/main/squid-sdk/squid-perf Command: npx skills add https://github.com/subsquid-labs/skills --skill squid-perf
Analyzes and compares the sync-time performance of Squid SDK deployments by collecting and interpreting logs across one or more indexers, helping teams identify bottlenecks and validate optimizations.
Run /squid-perf with one or more refs to fetch, parse, and render the performance report.
High-intent search queries and answers about installing and using this skill.
Comparing Squid SDK deployment sync times involves fetching logs via the sqd CLI for multiple deployments, parsing per-service progress data, and computing wall-clock elapsed, active processing, and downtime to measure which indexer reaches chain tip faster.
Benchmarking a single Squid indexer involves profiling its sync performance across environments by parsing log progress data with configurable breakpoints and downtime thresholds to identify processing bottlenecks and validate optimizations.
Generating a performance report for Squid deployment logs produces a self-contained HTML report with inlined Chart.js and a Markdown summary, displaying wall-clock, active processing, and downtime breakouts at log-spaced breakpoints.
Configuring custom breakpoints and downtime thresholds for Squid sync analysis is fully supported, allowing you to precisely measure active processing time and identify idle tail periods between log-spaced progress intervals.
Squid performance benchmarking requires the sqd CLI to fetch logs and the expect dependency for script execution, ensuring accurate parsing of per-service progress data from your deployments.
Idle tail time during synchronization occurs when active processing stops between breakpoints, which you can identify by computing downtime thresholds from parsed log progress data to validate optimization bottlenecks.
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