skills/sqlite-ops/SKILL.md
Patterns for SQLite databases in Python projects - state management, caching, and async operations. Triggers on: sqlite, sqlite3, aiosqlite, local database, database schema, migration, wal mode.
npx skillsauth add 0xDarkMatter/claude-mods sqlite-opsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Patterns for SQLite databases in Python projects.
import sqlite3
def get_connection(db_path: str) -> sqlite3.Connection:
conn = sqlite3.connect(db_path, check_same_thread=False)
conn.row_factory = sqlite3.Row # Dict-like access
conn.execute("PRAGMA journal_mode=WAL") # Better concurrency
conn.execute("PRAGMA foreign_keys=ON")
return conn
from contextlib import contextmanager
@contextmanager
def db_transaction(conn: sqlite3.Connection):
try:
yield conn
conn.commit()
except Exception:
conn.rollback()
raise
Enable for concurrent read/write:
conn.execute("PRAGMA journal_mode=WAL")
| Mode | Reads | Writes | Best For | |------|-------|--------|----------| | DELETE (default) | Blocked during write | Single | Simple scripts | | WAL | Concurrent | Single | Web apps, MCP servers |
| Issue | Solution |
|-------|----------|
| "database is locked" | Use WAL mode |
| Slow queries | Add indexes, check EXPLAIN QUERY PLAN |
| Thread safety | Use check_same_thread=False |
| FK not enforced | Run PRAGMA foreign_keys=ON |
sqlite3 mydb.sqlite # Open database
.tables # Show tables
.schema items # Show schema
.headers on && .mode csv && .output data.csv # Export CSV
VACUUM; # Reclaim space
For detailed patterns, load:
./references/schema-patterns.md - State, cache, event, queue table designs./references/async-patterns.md - aiosqlite CRUD, batching, connection pools./references/migration-patterns.md - Version migrations, JSON handlingtesting
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data-ai
Router for parallel or recurring agent work across six skills. Covers: parallel agents, fan out work, delegate to workers, run overnight, scheduled loop, land branches, mixed-model fleet, orchestrate workers, background agents at scale. Triggers on: which skill for parallel work, fan out agents, spawn workers, run this overnight, schedule a loop, land my branches, heterogeneous fleet, delegate to cheaper model, autonomous loop.
tools
Heterogeneous cross-provider fleet - GLM (z.ai), Codex (OpenAI), Grok (xAI), Anthropic Sonnet/Opus/Haiku - from one session, porting the native Workflow tool's patterns (adversarial verify, judge panels, journal resume) to OS-process workers. Triggers: fleetflow, heterogeneous/mixed-model fleet, codex worker, grok worker, cross-provider fan-out, cross-model verify.
development
Application/game-scale three.js: ES modules, GLTF pipeline (DRACO/KTX2/meshopt), AnimationMixer, physics (rapier/cannon-es), react-three-fiber, and performance at scale (InstancedMesh, LOD, draw calls). Triggers on: three.js, GLTFLoader, r3f, game loop, WebGL memory leak, boids.