「monitor」の検索結果

Monitor DX clusters for rare station spots, track active DX expeditions, and get daily band activity digests.

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。

Scout, monitor, and bid on auctions on House (houseproto.fun) — a crypto auction platform on Base.

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。

Opens a pull request, publishing the current branch as a PR. TRIGGER when: the user wants to open a pull request, publish the current branch as a PR, or take the current work through to an open PR. DO NOT TRIGGER when: only committing changes → commit; babysitting CI after the PR is already open → monitoring-pull-requests.

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。

Rebases a feature branch onto its latest base, resolving conflicts while preserving the intent of local changes, optionally force-pushing and watching CI afterward. TRIGGER when: the user wants to rebase a feature branch, update a branch against its base, or replay local work on top of the latest upstream. DO NOT TRIGGER when: merging a release branch into dev → merging-branches; only watching CI on an already-open PR → monitoring-pull-requests.

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。

Watches an open pull request's CI until green and fixes failing checks. TRIGGER when: the user wants to watch a pull request's CI, babysit a PR until it goes green, or fix failing CI checks on an open PR. DO NOT TRIGGER when: opening the PR in the first place → pr; rebasing the branch onto its base → rebase.

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。

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.

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。

Use when establishing what observability a project actually has — the four Golden Signals, required signal to detected implementation to evidence, and SLI/SLO provenance.

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。

Use when working with Grafana — dashboards, Loki LogQL queries, alerting rules, monitoring panels — even when the user just says 'build me a dashboard' or 'query the logs' without naming Grafana.

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。

Use when configuring Laravel Reverb — the first-party WebSocket server with Pusher protocol compatibility, horizontal scaling, and Pulse monitoring.

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。

Use when setting up Laravel Pulse — real-time dashboard, built-in cards, custom recorders, performance insights — even when the user just says 'I need app monitoring' without naming Pulse.

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。

Use when designing monitoring dashboards — visualization selection, layout principles, observability strategies (RED/USE/Golden Signals), and data storytelling.

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。

Fluxo de trabalho de infraestrutura em nuvem e DevOps abrangendo AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoramento e desenvolvimento nativo em nuvem.

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Guia completo de desenvolvimento backend para microserviços Node.js/Express/TypeScript. Use ao criar routes, controllers, services, repositories, middleware ou trabalhar com Express APIs, acesso a banco de dados com Prisma, rastreamento de erros com Sentry, validação com Zod, unifiedConfig, injeção de dependências ou padrões assíncronos. Cobre arquitetura em camadas (routes → controllers → services → repositories), padrão BaseController, tratamento de erros, monitoramento de performance, estratégias de testes e migração de padrões legados.

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Especialista em Langfuse - plataforma de observabilidade LLM de código aberto. Cobre rastreamento, gerenciamento de prompts, avaliação, datasets e integração com LangChain, LlamaIndex e OpenAI. Essencial para depuração, monitoramento e melhoria de aplicações LLM em produção. Use quando: langfuse, observabilidade llm, rastreamento llm, gerenciamento de prompts, avaliação llm.

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。

Padrões prontos para produção ao construir aplicações com LLM. Cobre pipelines RAG, arquiteturas de agentes, IDEs de prompt e monitoramento LLMOps. Use ao projetar aplicações com IA, implementar RAG, construir agentes ou configurar observabilidade de LLM.

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。

Construa sistemas de ML em produção com PyTorch 2.x, TensorFlow e frameworks modernos de ML. Implementa model serving, feature engineering, A/B testing e monitoramento.

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Gerencie múltiplos agentes CLI locais via sessões tmux (iniciar/parar/monitorar/atribuir) com agendamento compatível com cron.

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。

Testes e benchmarking de agentes LLM incluindo testes comportamentais, avaliação de capacidades, métricas de confiabilidade e monitoramento em produção—onde até os melhores agentes alcançam menos de 50% em benchmarks do mundo real. Use quando: testes de agentes, avaliação de agentes, benchmark de agentes, confiabilidade de agentes, teste de agentes.

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。

[Architecture] Use when designing solution architecture across backend, frontend, data & consistency, integration & APIs, deployment, monitoring, testing, and code quality. Architecture laws, style-selection triggers, coupling taxonomy, trade-off tables and the anti-pattern catalog live in `.claude/docs/architecture-knowledge.md`.

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Telegram CLI for AI agents. Use when the user needs to read or search Telegram, send or edit a message, download media, organise Saved Messages, monitor conversations, or automate a Telegram task. Triggers on “check my messages”, “send a message”, “search Telegram”, “read unread”, “listen to chat”, “download from Telegram”, тэг сохранёнок, чаты, каналы, and @peer names.

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Use when adding or reviewing keyboard shortcuts in a macOS app — in-app vs global, RegisterEventHotKey vs the KeyboardShortcuts package vs NSEvent monitors, user-configurable recording, conflict handling, and which defaults won't collide with the system.

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Use when managing Alibaba Cloud Simple Application Server (SWAS OpenAPI 2020-06-01) resources end-to-end, including querying instances, starting/stopping/rebooting, executing commands (cloud assistant), managing disks/snapshots/images, firewall rules/templates, key pairs, tags, monitoring, and lightweight database operations.

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Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.

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。

Data Scientist role within the AID methodology. Activate when working on: EDA, feasibility assessment, experiment planning, ML architecture, model development & validation, or production deployment & monitoring. Stack-agnostic — ask the user for their stack at the start of any new project.

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。