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tursodatabase

tursodatabase

11 Skills published on GitHub.

async-io-model

Explanations of common asynchronous patterns used in tursodb. Involves IOResult, state machines, re-entrancy pitfalls, CompletionGroup. Always use these patterns in `core` when doing anything IO

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cdc

Change Data Capture - architecture, entrypoints, bytecode emission, sync engine integration, tests

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code-quality

General Correctness rules, Rust patterns, comments, avoiding over-engineering. When writing code always take these into account

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debugging

How to debug tursodb using Bytecode comparison, logging, ThreadSanitizer, deterministic simulation, and corruption analysis tools

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differential-fuzzer

Information about the differential fuzzer tool, how to run it and use it catch bugs in Turso. Always load this skill when running this tool

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index-knowledge

Generate hierarchical AGENTS.md knowledge base for a codebase. Creates root + complexity-scored subdirectory documentation.

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mvcc

Overview of Experimental MVCC feature - snapshot isolation, versioning, limitations

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pr-workflow

General guidelines for Commits, formatting, CI, dependencies, security

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storage-format

SQLite file format, B-trees, pages, cells, overflow, freelist that is used in tursodb

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testing

How to write tests, when to use each type of test, and how to run them. Contains information about conversion of `.test` to `.sqltest`, and how to write `.sqltest` and rust tests

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transaction-correctness

How WAL mechanics, checkpointing, concurrency rules, recovery work in tursodb

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