'sqlite' 검색 결과

抽出済みJSONファイル（馬・血統・レース出走データ）をSQLiteデータベースにインポートする。「DBインポート」「データベースに保存」「JSONをDBに登録」といった依頼で発動する。

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テスト品質のレビュー（bun:test）。`bun test` の全通過、エンティティのビルダー直接検証と createTestDb による実 SQLite E2E の使い分け、実ネットワーク（JRA）非依存、回帰テストの存在（ImportData の一致条件・枠番の JRA 割当規則・生年計算）、回帰テストの削除/skip 化の禁止、新機能・バグ修正へのテスト追随、契約の検証 vs 実装詳細への過剰結合、console spy と一時ファイルの後始末を検証。Use when user says 'テストレビュー', 'review test', 'テスト品質チェック', or 'カバレッジ確認'.

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Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql", "setup mongodb", "sqlite setup".

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Run and manage a PokeGypt TFS 1.2 Pokemon OT private server — SQLite backend, account manager, Linux/Windows.

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PHPUnit 또는 Pest로 Laravel 기능을 테스트부터 구현합니다. 모델, API, 인증과 권한을 검증하고 외부 서비스를 모의 처리하며 테스트가 실행한 코드 범위를 확인합니다.

• Laravel 기능을 테스트부터 구현합니다
• API 인증과 권한을 검증합니다
• 결제, 메일과 큐를 모의 처리합니다

Search local notes, documents, and meeting transcripts using keywords and meaning. Combine both methods and use local AI models to reorder results by relevance, then retrieve full documents or selected passages without cloud processing.

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• Find decisions recorded in meeting transcripts
• Search notes by concept rather than exact wording
• Look up names and identifiers in project documentation

Build a narrative project history from records stored in claude-mem. The report traces architectural changes, breakthroughs, debugging efforts, and work patterns, with timeline statistics and estimates of token savings from reusing recorded knowledge.

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• Reviewing a project's development history
• Tracing architectural decisions and their consequences
• Examining recurring debugging and work patterns

Coordinate specialized AI agents under a lead coordinator for research, development, and review. Configure voting rules, share persistent knowledge, assign tasks, monitor progress, and pause or resume sessions through Claude Flow.

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• Divide application development among specialized agents
• Research and compare GraphQL and REST
• Coordinate reviewers for a pull request

Build Python APIs with FastAPI using clear routes, validated inputs, and consistent error handling. It guides asynchronous database and API calls, reusable dependencies, caching, and code organization to support readable implementations and responsive services.

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• Designing API routes and input validation
• Reviewing asynchronous database and API calls
• Organizing error handling and logging

Explore ideas, investigate problems, and clarify requirements in an OpenSpec project through discussion grounded in existing code and specifications. Compare approaches, sketch diagrams, and identify open questions, with planning documents saved only within an explicitly approved scope.

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• Clarify the scope of a loosely defined feature idea
• Compare technical approaches using project evidence
• Revisit design choices when implementation gets stuck

Test omo Codex Light edition in an isolated environment using real Codex and a local mock model. Verify installation, plugin hooks, and terminal startup, with captured evidence and no calls to a real model API.

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• Verify installation and config.toml changes in isolation
• Confirm plugin hooks run during a real Codex turn
• Check terminal interface startup

Work with Zotero desktop through a command-line interface to inspect references and collections, generate citations and bibliographies, add notes, and assemble structured information for further AI analysis.

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• Browse references in a selected collection
• Generate citations and bibliographies
• Add notes to saved references

Manage work on a SeaClip-Lite project board through commands that create and update issues, control pipelines, configure schedules, and inspect recent activity, with JSON output for AI agents.

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• Find issues by status or priority
• Create issues and move them between board columns
• Start, resume, or stop work pipelines

Helps organize biological datasets and models in LaminDB. Covers data registration, table validation, annotation with standardized biological terms, metadata searches, and tracking analysis inputs and outputs so researchers can preserve the context needed to repeat their work.

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• Register and organize biological datasets
• Validate DataFrame or AnnData metadata
• Standardize annotations with biological vocabularies

Create YAML test scenarios for web applications and run them in a real browser with Playwright. Use image matching and text recognition to check screens, then organize failure findings for investigation.

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• Test a checkout flow in a real browser
• Check screens with image matching and text recognition
• Investigate browser test failures

Set up Python APIs with FastAPI using organized project templates. Build routes, asynchronous database operations, authentication, and error handling, with examples for sharing dependencies and testing endpoints through a separate test database.

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• Set up a new FastAPI project
• Build a Python API with asynchronous database access
• Organize authentication and shared dependencies

Build a tracking system for vulnerabilities that cannot be fixed on time. Define exception requests, approval workflows, alternative protective measures, expiration checks, and audit records so teams can track accepted risks and support compliance reviews.

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• Standardizing exception requests for delayed vulnerability fixes
• Recording alternative protections and risk acceptance
• Checking expired exceptions and producing monthly reports

Helps build JavaScript and TypeScript projects with Bun, covering setup, package management, testing, and bundling code for distribution. It also guides migration from Node.js and use of Bun’s built-in APIs.

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• Start a JavaScript or TypeScript project with Bun
• Migrate an existing Node.js project to Bun
• Set up tests and production builds

Use Phoenix to record execution traces, detailed records of an AI application's operations, and investigate problems. Evaluate answers on datasets, compare prompts and models, and set up monitoring through a self-hosted server.

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• Investigate AI application problems using execution traces
• Evaluate answer quality across a test dataset
• Compare prompts and models through experiments

Turn plain language requirements into SQL, investigate slow queries, document database structures, and prepare migration templates with rollback plans. Support everyday database development and ORM use, where libraries connect application code to database tables.

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• Writing SQL for reports and data retrieval
• Investigating slow queries and repeated database calls
• Preparing schema changes and rollback plans

Reproduce model connection failures and interrupted responses in the desktop app using a local fault server and test providers. Check error messages and retry behavior for refused connections, DNS failures, HTTP errors, stalled requests, and cut streams.

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• Checking error messages for model connection failures
• Testing responses to rate limits and server errors
• Reproducing stalled requests and interrupted replies

Check Screenpipe's process, API, screen capture, and audio transcription status. Inspect logs, storage, resource usage, and processing metrics to identify problems, then report the findings with relevant errors and suggested fixes.

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• Check whether Screenpipe is running
• Investigate missing screen captures
• Diagnose missing audio transcriptions

Save a page's SEO settings and compare them with later versions to detect changes after updates or deployments. Review differences in titles, headings, indexing controls, structured data, and available performance metrics, with severity levels and stored comparison history.

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• Compare SEO settings before and after deployment
• Check for unintended title or heading changes
• Investigate page changes after a traffic drop

Develop and debug LangBot's backend and web frontend. The skill guides environment setup, API additions, authentication, database migrations, and testing, including updates to matching MCP tools so agents can use changed API features.

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• Set up the LangBot backend and frontend for development
• Add an API endpoint and its matching MCP tool
• Update the database schema with Alembic