「database」の検索結果

Correlate events across multiple log files from different sources, systems, or time periods. Build unified timelines, identify causal relationships between events, and highlight anomalies that span multiple data sources. Supports timezone normalization and gap detection. Use when analyzing logs from multiple systems (frontend, backend, database, infrastructure), investigating distributed system failures, or building event timelines across services. Triggers: "correlate these logs", "build timeline from multiple logs", "cross-system analysis", "find related events across logs", "multi-source log analysis", "distributed trace analysis"

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Use when designing, reviewing, modifying, migrating, optimizing, securing, operating, troubleshooting, or decommissioning data architectures across data model exploration, SQL, ISO SQL conformance, NoSQL, vector, graph, document, time-series, NewSQL, search, in-memory, SQLite, CDC/Debezium, DBMS storage/query/recovery internals, database incident prevention, hardware acceleration, cache, big-data, lakehouse, and warehouse systems.

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Review storage placement across framework global data, workspace data, host state, sidecars, caches, vaults, and external sources.

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Add or improve canonical data catalog collections, fields, aliases, relations, evidence tags, docs, and tests.

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Specialist for the entire job application process. Analyzes job postings, optimizes profiles (LinkedIn/CV), and generates tailored cover letters. Generates ASCII CVs from a SQLite database and folder structure. cv_generator.py is ported standalone -- no BACH runtime required.

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Mine any Telegram channel or chat for signal in one command: incremental zero-token scrape, deterministic detector shortlist, LLM judge for what is genuinely valuable to this owner, then linked vault notes, a database row, a map-of-content entry and reindex. Triggers: "/mine-channel <@channel|id>", "alpha from <channel>".

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Report what is genuinely new in the last 30 days on a topic, by slicing locally collected nightly channel databases with no live crawling. Run it before a strategic decision, as the fresh-signal feed for the gap phase. Triggers: "/last30days <topic>", "trendwatch <topic>", "what changed last 30 days on X".

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Read the system-architect map: a deterministic catalog of everything the setup is made of (vault, import scripts, scheduled tasks, MCP servers, SQLite databases, hooks, skills, dashboards), what is healthy and what fell off. Consult it before changing shared infrastructure and re-scan after. Triggers: "/arch", "/arch broken", "/arch scan", "what broke in the system".

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Senior engineer CLI expertise for AI agents — workflows, safety guardrails, gotchas, and anti-patterns across cloud, IaC, containers, databases, dev tools, and platforms

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Bring an EPA SWMM (.inp) or EPANET (.inp) model into MIKE+ via the mike-plus MCP server — the bridge from an INP builder such as SWMMCanada or agentic-swmm into a MIKE+ database that mike_model_info / mike_run can use. Use when the user has an .inp and wants it in MIKE+. Requires MIKE+ installed + a checked-out license (demo mode caps the model size).

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Search the live web and 36+ specialised data sources including SEC filings, PubMed, ChEMBL, clinical trials, FRED economic indicators, and patent databases. Use when current, authoritative, or paywalled data is required.

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Supabase Flutter integration for PostgreSQL, Auth, Realtime subscriptions, Storage, Edge Functions, and Row Level Security. Use when building backend features with supabase_flutter or configuring database policies.

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Background processing and heavy computations using Dart Isolates with Isolate.run(), compute() function, and platform channels. Use this skill when performing CPU-intensive operations without blocking UI (image processing, data parsing, encryption), implementing background tasks that prevent jank or frame drops, handling large file operations (JSON parsing, database migrations), running parallel computations, fixing UI freezes caused by main thread blocking, using compute() for one-off background work, creating long-lived Isolates with ReceivePort/SendPort, implementing multi-threaded algorithms, debugging isolate communication issues, or preventing memory leaks from unclosed ReceivePorts. Covers isolate spawn, message passing, ReceivePort cleanup (CRITICAL for leak prevention), SendPort communication patterns, error handling, serialization rules, and performance optimization for compute-heavy operations.

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SharedPreferences (v2.5.5) for Flutter providing simple persistent key-value storage for non-sensitive user settings and app preferences. Use this skill when storing user preferences (theme mode, language selection, font size), app settings and configuration, feature flags or A/B test assignments, simple cache data, onboarding completion status, last selected values (filters, sort options), user consent flags, or any non-sensitive data that survives app restarts. Supports String, int, double, bool, and StringList types. NOT suitable for storing tokens, passwords, API keys, or any sensitive/encrypted data (use flutter_secure_storage instead). Ideal for quick persistent storage without database overhead.

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Integrates and reviews Firebase across Flutter, native Android, native iOS, React Native and Kotlin Multiplatform. Covers Auth, databases, Storage, Functions, FCM, Analytics, Crashlytics, Remote Config, App Check and KMP shared-to-platform SDK boundaries. Use for any Firebase setup, bug, security rule, emulator, configuration file or product integration.

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Builds Flutter apps with guides for everything specific to Flutter and Dart — layouts, responsive UI, forms, animations, theming, declarative routing with go_router, widget previews and home screen widgets; HTTP, JSON serialization, local databases and caching; plugins, platform channels and native views; isolates and app size; accessibility and localization; Effective Dart, Dart 3 features and pattern matching; and macOS setup. Use when writing or changing Flutter UI, data or native integration code, or when the user asks how to do something in Flutter, even if they do not name the topic.

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Search rad-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.

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Diagnose and fix rad-mem installation issues. Checks PM2 worker status, database integrity, service health, dependencies, and provides automated fixes for common problems.

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Take an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email, domain/DNS). The human connects accounts and approves changes; supported wiring operations run through a local CLI and produce verification evidence with explicit limits. Use when the user wants to ship, deploy, go live, launch, publish, or put their app online, or asks to wire up env vars, webhooks, auth settings (signup, email confirmation, password policy), a real signup → confirmation email → login journey, password recovery, account isolation between two users, auth redirects, email DNS or a custom domain.

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ゼロダウンタイム戦略、データ変換、ロールバック手順を使用して、ORM間およびプラットフォーム間でデータベース移行を実行します。データベースの移行、スキーマの変更、データ変換の実行、またはゼロダウンタイムデプロイメント戦略の実装時に使用します。

Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.

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Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

日本語の概要は準備中です。原文の説明を表示しています。

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

日本語の概要は準備中です。原文の説明を表示しています。

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

日本語の概要は準備中です。原文の説明を表示しています。