WAL mechanics, checkpointing, concurrency, and recovery in Turso's SQLite implementation.
Works with
Turso uses WAL (Write-Ahead Logging) exclusively with in-memory WAL index instead of SQLite's shared memory file, supporting one writer and concurrent readers without blocking
Checkpointing transfers WAL pages back to the main database in four modes: PASSIVE (non-blocking), FULL (waits for readers), RESTART (resets WAL), and TRUNCATE (truncates WAL file)
Each connection maintains private page ca
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontransaction-correctnessExecute the skills CLI command in your project's root directory to begin installation:
Fetches transaction-correctness from tursodatabase/turso and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate transaction-correctness. Access via /transaction-correctness in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
18.1K
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
18.1K
stars
Turso uses WAL (Write-Ahead Logging) mode exclusively.
Files: .db, .db-wal (no .db-shm - Turso uses in-memory WAL index)
Transfers WAL content back to main DB.
WAL grows → checkpoint triggered (default: 1000 pages) → pages copied to DB → WAL reused
Checkpoint types:
SQLite uses a shared memory file (-shm) for WAL index. Turso does not - it uses in-memory data structures (frame_cache hashmap, atomic read marks) since multi-process access is not supported.
On crash:
Key files:
Per-Connection (private):
Pager - page cache, dirty pages, savepoints, commit stateWalFile - connection's snapshot view:
max_frame / min_frame - frame range for this connection's snapshotmax_frame_read_lock_index - which read lock slot this connection holdslast_checksum - rolling checksum stateShared across connections:
WalFileShared - global WAL state:
frame_cache - page-to-frame index (replaces .shm file)max_frame / nbackfills - global WAL progressread_locks[5] - read mark slots (TursoRwLock with embedded frame values)write_lock - exclusive writer lockcheckpoint_lock - checkpoint serializationfile - WAL file handleDatabaseStorage - main .db fileBufferPool - shared memory allocationMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
transaction-correctness has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for transaction-correctness matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: transaction-correctness is focused, and the summary matches what you get after install.
Registry listing for transaction-correctness matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: transaction-correctness is focused, and the summary matches what you get after install.
I recommend transaction-correctness for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in transaction-correctness — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
transaction-correctness is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: transaction-correctness is focused, and the summary matches what you get after install.
Keeps context tight: transaction-correctness is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 30