'sqlite' 검색 결과

Designs and audits data retention and file compaction for an embedded SQLite datastore in a long-lived service — a unified retention registry (one declared policy per table), TTL / absolute-age / row-count-cap policies, a fail-loud coverage guard, WAL/checkpoint tuning, and auto_vacuum/incremental-vacuum so pruning actually shrinks the file. Use when a SQLite DB grows unbounded, a table has an index but no DELETE, a pruned DB never shrinks on disk, metrics are stored as raw events forever, or a new table needs bounding. Keywords retention policy, TTL, reaper, prune, VACUUM, auto_vacuum, incremental_vacuum, WAL checkpoint, freelist, DB bloat, row cap, per-tenant quota. NOT for Postgres/MySQL/server-DB partitioning or TTL, log-line rate-limiting/sampling, backup/replication, schema migrations, or query-performance indexing.

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Set up human approval for agent-drafted messages to customers or partners. Bind decisions to exact text and destinations, record delivery evidence, and prevent outdated approvals or competing workers from triggering unintended sends.

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• Require approval before sending customer replies
• Keep an audit trail of approved text and delivery
• Prevent old approvals from releasing revised drafts

Dry-run one cycle of a sales agent workflow without calling language models. Validate the template and agent types, check budget reservations, generate agent prompts, and record a structured status summary for downstream automation.

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• Demonstrating one cycle of a sales agent workflow
• Checking template validity and agent types
• Verifying budget caps and reservations

Guide Prisma 8 development by selecting task-specific references for data definitions, queries, migrations that change database structure, runtime setup, debugging, and upgrades. Check package versions and generated contract files before proceeding with implementation.

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• Set up Prisma 8 or connect it to an existing database
• Edit data definitions and plan database migrations
• Write queries and configure database connections

Write, debug, and optimize SQL queries for data analysis and database design. The skill covers aggregations, rankings, missing values, and indexes, using execution plans to understand performance and adapting syntax to the database in use.

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• Writing queries for totals and rankings
• Investigating slow queries with execution plans
• Reviewing table structures and constraints

Audit database migration changes before a Bifrost release for lock contention, deadlocks, and delayed application startup. Receive pass, warning, or failure results, a release recommendation, and concrete remediation steps without modifying files.

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• Review migration safety before a release
• Check index creation risks on large log tables
• Find migration work that delays application startup

Guide OpenRig CLI and background service upgrades while protecting active sessions and local file changes. The skill provides staged checks, verified database backups, selective plugin refreshes, and migration helpers, with evidence checked after each change.

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• Upgrading OpenRig while preserving active sessions
• Backing up and checking the database before an upgrade
• Refreshing managed plugins while preserving local edits

Parse SQLite databases into structured JSON data. Use when exploring unknown database schemas, understanding table relationships, and extracting map data as JSON.

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Fix SQLite "database disk image is malformed" errors caused by corrupted FTS5 indexes. Use when: (1) UPDATE/INSERT fails with "stepping, database disk image is malformed" but PRAGMA integrity_check returns "ok", (2) Only specific records fail to update while others succeed, (3) Records contain dirty text with tabs, newlines, or unusual characters that were inserted into FTS5-indexed columns. The misleading error message suggests disk corruption, but the actual issue is FTS5 index corruption from malformed text content.

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Use when seeing errors about better-sqlite3 native module, NODE_MODULE_VERSION mismatch, "was compiled against a different Node.js version", or similar native binding errors.

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You are an expert in Drizzle ORM, the lightweight TypeScript ORM that maps directly to SQL. You help developers write type-safe database queries that look like SQL (not a new query language), generate migrations from schema changes, and deploy to serverless environments with zero overhead — supporting Postgres, MySQL, SQLite, Turso, Neon, PlanetScale, and Cloudflare D1.

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Emit Postgres.sql and SQLite.sql from a single schema spec so tools work across both drivers without duplicating DDL by hand. Use when designing a schema that needs to support both shared Postgres deployments and zero-config SQLite. Reduces two-file sync burden to a single source edit.

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Unified messaging via three access tiers — MCP (live API), beeper-cli (authenticated CLI), and direct SQLite→DuckDB (full archive). Search, analyze, and act across all networks.

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Maintain SQLite email-confirmed registration, its public parser, optional portal confirmation hook, hashed pending credentials, recoverable account creation, and registration-to-login E2E tests. Excludes administrative approval and general identity-store account operations.

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Maintain the pure-Go SQLite notification outbox, public parser, runtime messaging-provider injection, worker leases, and registration delivery E2E tests. Excludes SMTP transports and registration enrollment state.

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Maintain the pure-Go SQLite single-use ticket identity provider, public parser, trusted issuance API, HTTP login capability, cookie and realm binding, portal signing, and TLS consumer tests. Excludes OAuth/SAML protocols and anonymous ticket issuance services.

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Maintain the pure-Go SQLite password identity store, reusable parser, immutable account evidence, idempotent enrollment, portal injection, and login E2E tests. Excludes local JSON database internals and MFA/profile feature implementation.

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AI-PLCのローカルSQLite DBとNotion DBをpull、push、sync、statusで双方向同期する。

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Reasoning data lost across agent steps and missing low-confidence fallback Keywords: sqlite, triangulation, escalation, confidence

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PowerSync offline-first sync engine on SQLite for React Native - schema definition, watched queries, CRUD operations, backend connectors, sync rules, conflict resolution, attachments

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Best practices for building and maintaining applications with PowerSync: Cloud and self-hosted setup, sync configuration, client SDK usage, backend integration (Supabase, custom Postgres, MongoDB, Azure DocumentDB, MySQL, MSSQL), schema changes, watch and reactive queries (useQuery), attachments, the upload queue, and debugging. Use this skill whenever the user mentions PowerSync, a @powersync/* package (@powersync/web, @powersync/react-native, @powersync/node), the powersync Flutter/Dart package, the powersync Rust crate, wa-sqlite, offline-first sync, local-first architecture, sync rules, sync streams, uploadData, fetchCredentials, disconnectAndClear, logout or user switching in a synced app, real-time data replication, Electric Cloud migration, Electric Shapes, an app stuck on Syncing, data not syncing, or wants to add offline-capable sync to a mobile or web app, even if they do not explicitly name PowerSync.

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Cloudflare Durable Objects の実装とレビューに使用する。チャットルーム、マルチプレイ、予約システムなどの状態を持つ協調処理、RPC methods、SQLite storage、alarms、WebSockets、Workers統合、wrangler設定、Vitestでのテストを扱う。事前学習の知識より最新のCloudflare docsの取得を優先する。

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応募プロセス全体のためのスペシャリスト。求人情報の分析、プロフィール（LinkedIn/CV）の最適化、テーラーメイドのカバーレターの生成を行います。SQLiteデータベースとフォルダ構造からASCII履歴書を生成します。cv_generator.py はスタンドアロンで移植されており、BACHランタイムは不要です。

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Implements type-safe reactive SQL persistence in Flutter using Drift v2.32 (formerly Moor) built on SQLite with automatic code generation. Activates when defining table schemas with Drift DSL, writing type-safe join or subquery operations, handling schema migrations with MigrationStrategy, using reactive watch() streams for live UI updates, implementing ACID transactions, defining foreign key constraints or cascade deletes, enabling WAL mode for write performance, troubleshooting generated .g.dart type mismatches, migrating from sqflite or sqlite3 v2 to v3, using DAOs for query separation, or building offline-first apps requiring strong relational data integrity and compile-time SQL verification.

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