memory-benchmark

This skill documents Turso's experimental Multi-Version Concurrency Control system, which allows readers and writers to operate simultaneously without blocking through row-level snapshot isolation. It covers enabling MVCC via pragma, the versioning model tracking begin/end timestamps, and the architecture built on lock-free data structures. The guide also details checkpointing behavior, current limitations like garbage collection and recovery gaps, and testing patterns for MVCC-enabled code.

yield-injections provides test-only infrastructure for injecting cooperative yields and synthetic failures into resumable state machines. Use it to test state-machine re-entry safety, interleaving behavior, and abandonment cleanup by marking yield points and controlling when they fire. Includes fixed injectors for unit tests and simulator support for randomized deterministic coverage.

This skill guides you through configuring benchmarks and integrating CodSpeed into your project. It covers language-specific harnesses (divan, criterion, pytest-benchmark, vitest, go test, Google Benchmark) and a universal exec mode for any language, helping you identify performance-critical code and establish repeatable performance tracking.

This skill acts as an autonomous performance engineer, using CodSpeed benchmarks and flamegraph analysis to iteratively optimize code. It measures baseline performance, identifies bottlenecks through flame graphs, applies targeted changes, and validates improvements across simulation and walltime modes. The skill handles the full optimization loop—from establishing baselines to comparing runs and reporting gains—stopping only when significant improvements plateau or the user decides to halt.

This guide explains Turso's Write-Ahead Logging system, covering how transactions are written, read, and checkpointed back to the main database file. It details the concurrency model where one writer coexists with multiple readers, checkpoint strategies from passive to truncate modes, and the recovery process after crashes. The guide also maps Turso's implementation to its core storage layer, distinguishing per-connection state from shared WAL structures.

This skill provides systematic performance analysis for the RTK CLI tool, measuring startup time against a <10ms target, memory usage under 5MB, and token savings between 60–90%. It includes baseline capture, regression detection with flamegraph profiling, and common optimization techniques like LazyLock initialization and zero-copy string processing.