「cron」の検索結果

Scheduled Exa web search monitor. Uses CronCreate to search configured topics every 4 hours via mcp__Exa__web_search_exa, deduplicates URLs via MemoryRecord, and stores summaries for morning briefing integration.

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。

Scheduled ArXiv paper monitor. Uses CronCreate to search configured keywords every 6 hours, deduplicates via MemoryRecord, and stores summaries in named memory for morning briefing integration.

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。

Work with the upstash-box Python SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, snapshots, and a headless browser. Use when building with Upstash Box in Python, creating a sandbox or isolated environment to run untrusted or agent-generated code, running AI coding agents in containers, giving an agent a cloud dev environment with a shell and repository, browser automation from a box, scheduling recurring jobs inside a box, saving and restoring snapshots, or orchestrating parallel boxes.

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Work with any Upstash product, SDK, or tool, including serverless Redis (caching, sessions, leaderboards, key-value storage), Ratelimit (rate limiting and throttling), QStash (message queue, cron schedules, background jobs), Workflow (durable long-running functions), Vector (vector database for embeddings, semantic search, and RAG), Search (full-text and semantic search), Box (sandboxed cloud containers for AI agents, TypeScript/JavaScript and Python), Blob (serverless S3-compatible file storage with direct browser uploads), the Upstash CLI, and no-signup scratch Redis for agents. Use when the user mentions Upstash or needs any of these capabilities in a serverless, edge, or Node.js app.

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。

Work with the @upstash/box TypeScript/JavaScript SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, snapshots, and a headless browser. Use when building with Upstash Box, creating a sandbox or isolated environment to run untrusted or agent-generated code, running AI coding agents in containers, giving an agent a cloud dev environment with a shell and repository, browser automation from a box, scheduling recurring jobs inside a box, saving and restoring snapshots, or orchestrating parallel boxes.

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Design and review autonomous or semi-autonomous agent loops — systems where an agent prompts itself, runs on a schedule or event, and iterates toward a goal without a human at the keyboard. Use this whenever the user wants to build, design, harden, or audit any kind of self-running agent, agentic workflow, control loop, background worker, cron/heartbeat/webhook-driven agent, "Ralph loop", auto-PR-fixer, monitoring agent, or any long-running task that should keep going on its own until done. Trigger this even when the user says "agentic workflow", "automation that runs itself", "an agent that keeps trying until X", or "make my agent stop running away / burning tokens" without using the word "loop". Also use it to review an existing loop's stopping conditions, guardrails, verification, and escalation paths.

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Use when analyzing an existing TypeScript or JavaScript codebase to decide where and how to introduce Inngest. Covers repository discovery, framework and package detection, finding durability gaps in HTTP handlers, webhooks, cron jobs, queues, long-running jobs, AI agents, Agent Evals, polling loops, eval loops, and side-effect-heavy code, then producing and implementing an incremental integration plan.

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Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

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"Apply rigorous survey design principles including construct operationalization, Likert scale development, reliability and validity assessment, and common method variance control. Use this skill when the user designs questionnaires, develops measurement items, needs to evaluate Cronbach's alpha or AVE, or when they ask 'how do I operationalize this construct', 'is my scale reliable', or 'how do I control for CMV'.".

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。

Schedule reminders and recurring tasks.

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Linux privilege escalation playbook. Use when you have low-privilege shell access and need to escalate to root via SUID/SGID binaries, capabilities, cron abuse, kernel exploits, misconfigurations, or credential harvesting on Linux systems.

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 integrating Celery with Django - task definition and calling, django-celery-beat scheduling, worker deployment, Flower monitoring, testing tasks, batch processing, or choosing between cron and beat

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Vercel deployment platform — project configuration, serverless/edge functions, Routing Middleware, cron jobs, environment variables, monorepo setup

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。

Create scheduled background jobs that run on cron schedules

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 a task needs the judgment of a Registered Dietitian Nutritionist — calculating caloric/macronutrient needs for a clinical case, designing a medical-nutrition-therapy plan for a disease-specific condition (renal, diabetic, oncology), setting an enteral or parenteral feeding prescription, or screening/triaging malnutrition risk.

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。

Monitoring scheduled jobs — heartbeat checks, missed runs, and duration anomalies — platform-agnostic patterns.

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Generate spoken audio from text, single or multi-speaker, including voice notes or messages for chat, audio for artifacts, and audio from cron jobs. For podcasts, briefings, or narrated summaries, use podcast.

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。

Build a structured Quarterly Business Review deck for a customer account. Use when user says "QBR", "quarterly business review", "prep my QBR", "build the deck", "renewal prep", "executive check-in", "90-day review", or "customer business review" - even if they don't use the acronym. Applies to CSMs preparing for executive-level customer meetings focused on value delivered, health, and next quarter alignment.

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Configure and control the claude-bionify bionic reading plugin. Use when the user asks about bionic reading settings (fixation/strength, boundary, minimum word length, acronyms, URLs, headings), wants to turn the bionic display on, off, or toggle it, asks for the current status, or asks how to use the /claude-bionify commands.

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Automating post-sandbox-refresh cleanup via the `SandboxPostCopy` interface — the Apex class that runs ONCE after a sandbox refresh or clone completes, before users can log in. Used to mask emails, deactivate users, scrub integration endpoints, disable scheduled jobs, and reapply per-environment configuration the metadata copy doesn't carry. Covers the interface contract (`runApexClass` setting, `SandboxContext` parameter, single-execution semantics), the email-masking pattern that stops sandbox tests emailing production addresses, and the refresh runbook checklist. NOT for choosing sandbox type or refresh cadence — use admin/sandbox-strategy. NOT for re-seeding reference data after a refresh — use data/sandbox-refresh-data-strategies. Trigger keywords: SandboxPostCopy, runApexClass, SandboxContext, Test.testSandboxPostCopyScript, RunAsAutoProcUser, Automated Process user, CronTrigger, System.abortJob, sandbox email masking, post-refresh runbook.

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。

Schedule a moflo spell to run on the local machine via the moflo daemon (cron, interval, or one-time). Use when the user wants to schedule, automate, or recurringly run one of THEIR spells locally — e.g. "schedule the oap spell every hour", "run my audit spell every weekday at 9am", "fire X once tomorrow morning". This is the LOCAL daemon path. For remote Anthropic-cloud agents, use /schedule instead.

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Use when planning macronutrient targets, calculating daily calorie ranges, or building meal plans based on body type, activity level, and fitness goals.

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。

Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.

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A股量化监控系统 - 7维度市场情绪评分、智能选股引擎（短线5策略+中长线7策略）、实时价格监控、涨跌幅排行榜。支持全市场5000+股票数据采集与分析，多指标共振评分，精确买卖点计算，动态止损止盈。每日自动推荐短线3-5只、中长线5-10只优质股票。包含Web界面、自动化Cron任务、历史数据回溯。适用于A股量化交易、技术分析、选股决策。

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。