'schedule' 검색 결과

Search team activity in Screenpipe Enterprise and review records by device and time. Preview, deploy, and schedule managed Pipes, which are AI automations, with explicit targets and checks before changes.

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• Find team activity related to a topic
• Review a teammate's activity timeline
• Preview and deploy a managed Pipe

Create and manage scheduled AI automations in screenpipe from the command line. Enable or disable jobs, test runs, inspect logs, and configure service connections such as Telegram and Slack, including connection status checks.

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• Creating scheduled AI automations
• Enabling or disabling existing automations
• Investigating failures through execution logs

Configure agents, tools, app deployments, and scheduled work in Kortix. This reference explains project files, command-line operations, permissions, and the differences between pi and OpenCode, helping agents follow the platform's configuration and change-review process.

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• Configure agents, skills, and custom tools
• Understand pi and OpenCode configuration differences
• Find procedures for deploying a Kortix App

Review past dsh agent sessions to identify recurring tasks and test proposed skill or memory improvements. This skill guides preview runs, validation on reserved tasks, staged proposals, adoption with backups, and scheduled nightly cycles.

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• Extract recurring tasks from past agent sessions
• Test proposed skill and memory improvements
• Review staged changes before adopting them

Find meeting times through Superhuman by checking existing events and participants' availability. Present options with clear time zones, then create the event after the user chooses a slot, or update an existing meeting.

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• Check upcoming events and free time
• Find meeting times across time zones
• Book a call at a chosen time

Create tests for Convex functions with convex-test and vitest, using a backend that runs in memory. Check arguments, return values, authentication, indexes, errors, and scheduled functions without relying on real time or network access.

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• Test Convex function arguments and return values
• Check behavior with different authentication identities
• Cover errors as well as successful requests

Set up Convex snapshot backups and test recovery by restoring into a temporary environment. Verify table counts and sample records, then define a backup schedule, retention period, and production recovery instructions based on acceptable data loss.

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• Setting a backup schedule based on acceptable data loss
• Testing snapshot recovery in a temporary environment
• Preparing production recovery instructions

Plan a personal monitoring dashboard using a reference for panels, data sources, APIs, refresh intervals, and development priorities. It covers schedules, messages, news, stocks, finances, and combined views such as a daily briefing.

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• Choosing which dashboard panel to build next
• Checking panel APIs and data structures
• Planning a combined view of schedules, messages, and stocks

Implement scheduled data updates for dashboard panels with separate refresh intervals. Pause timers while the browser tab is hidden, stagger eligible updates on return to reduce request bursts, and prevent overlapping requests for the same panel.

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• Setting different refresh intervals for dashboard panels
• Pausing periodic updates while a browser tab is hidden
• Staggering panel updates when returning to a tab

Review Windows privilege escalation paths from a standard user session to Administrator or SYSTEM. Examine service permissions, token privileges, library loading, scheduled tasks, and stored credentials, with detection indicators for defensive validation.

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• Investigating privilege escalation in authorized Windows assessments
• Reviewing service and scheduled task permissions
• Checking detection coverage with attack and defense teams

Build AI agents on Cloudflare Workers with the Agents SDK. Implement persistent state, real-time chat, scheduled tasks, multi-step background workflows, and MCP servers, using current Cloudflare documentation to guide implementation.

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• Build agents that retain and synchronize state
• Create real-time chat with resumable streaming
• Implement scheduled tasks and multi-step workflows

Prepare drafts, publish content, and sync WeChat Channels performance data using existing iPolloWork schedules. The skill fixes the target account, preserves operation identifiers across retries, and checks platform results before repeating an action.

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• Schedule publishing for a specific WeChat Channels account
• Prepare drafts without publishing
• Sync video performance data on a schedule

Recall earlier work and organize lasting preferences, project facts, outcomes, and lessons. The skill distinguishes concise memory from original records, reusable procedures that belong in skills, and recurring requests that need scheduled tasks.

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• Resume earlier work using remembered context
• Save lasting preferences and project conventions
• Find exact wording and evidence in past records

Follow a structured Claude Code curriculum with tracks for different goals. Record concrete evidence from project exercises, unlock modules when prerequisites are complete, and check scheduled reviews while keeping progress data inside the current project.

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• Learn a first daily workflow with Claude Code
• Practice reusable workflows in a real project
• Keep evidence of completed learning exercises

Draft daily or weekly schedules from tasks, deadlines, availability, and stated energy patterns. Include fixed commitments, breaks, and buffers, flag work that will not fit, and review supplied activity logs to suggest practical adjustments.

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• Planning a day around appointments and priority tasks
• Building a weekly plan with focus time and breaks
• Working backward from a deadline to check capacity

Use this skill to implement ONE microsoft/apm issue already selected by autopilot-issue-delivery-scheduler. Queue signal is `status/accepted` or a named bounded accept; that is not permission. Requires fresh human-scope evidence from scripts/governance before any mutate. May reproduce a bug, implement the accepted change, and open a fix PR. Not a queue manager and not a triage scheduler. Works in the scheduler's session, a child session, Cloud Agent, Remote Agent, or Agentic Workflow.

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Set up recurring or scheduled work — anything the user wants run on a schedule, repeatedly, or at a future time ("every morning", "each weekday at 9am", "daily digest", "weekly report", "remind me", "run this on a cron"). Teaches how to author a durable Vexa Scheduler routine that survives restarts. Use this instead of any OS cron job, system timer, or session-only reminder.

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Read and manage Calendly: list scheduled events, event types, invitees, and availability schedules; cancel bookings. Trigger phrases: calendly, my meetings, scheduled events, cancel booking.

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24/7 autonomous business operations orchestrator with business health scoring, canary monitoring, and safety guardrails. Schedules and runs all business functions automatically — content publishing, social media posting, outreach sequences, ad monitoring, financial reporting, health checks, and post-deploy verification. Use when the user wants to automate operations, schedule tasks, set up autonomous workflows, or says 'automate this', '24/7', 'run automatically', 'schedule', 'cron', 'autonomous', or 'set and forget'.

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Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). Triggers on: Lambda Managed Instances, LMI, capacity provider, multi-concurrency Lambda, dedicated instance Lambda, EC2-backed Lambda, cold start elimination, Graviton Lambda, instance type for Lambda, scheduled scaling for LMI, Lambda cost optimization with Reserved Instances or Savings Plans. Also trigger when users describe high-volume predictable workloads seeking cost savings, want to scale LMI capacity on a schedule, or compare Lambda vs EC2 for steady-state traffic. For standard Lambda without LMI, use the aws-lambda skill instead.

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Schedule social posts to connected platforms at best times, approval-gated. "schedule this post for Monday"

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Set up and run an Aeon agent instance - get started from scratch, pick which skills to turn on or install more from packs, reschedule or change what runs, edit what an existing skill does, fix a skill that isn't firing, set the STRATEGY.md north star and soul/ voice, turn a coding-agent chat into a scheduled Aeon skill, and mine past coding-agent conversations for recurring work worth automating as a skill. Use when the user mentions Aeon, aeon.yml, an Aeon skill / instance / routine / pack, asks to schedule, enable, edit, or debug an agent that runs on a cron, or asks what of their repeated/manual work Aeon could take over.

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Operational knowledge for the daily-brief digest pipeline (this project). RSS/API fetchers, pluggable LLM enrichment (default claude CLI on Max; also anthropic/openai/deepseek/minimax API), trading section, HTML rendering, cross-platform scheduler integration (Windows Task Scheduler / macOS launchd / Linux cron). Load when the user asks about running daily / regenerating sections / debugging a failed run / adding or disabling sources / LLM quota / scheduler / why a tab shows wrong data / why a source failed / switching LLM backend. Always prefer the documented npm commands over re-implementing logic. Diagnose by reading logs/daily-*.log first, then logs/llm-calls.jsonl for LLM-side issues.

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Provides patterns for unit testing Spring `@Scheduled` and `@Async` methods using JUnit 5, CompletableFuture, Awaitility, and Mockito. Covers mocking task execution and timing, verifying execution counts, testing cron expressions, validating retry behavior, and simulating thread pool behavior. Use when testing background tasks, cron jobs, periodic execution, scheduled tasks, or thread pool behavior.

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