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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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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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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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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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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Build Laravel features test first with PHPUnit or Pest. Create tests for models, HTTP endpoints, authentication, and permissions, simulate external services, and measure coverage to see which code your tests exercise.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.