Results for “alert-tuning”

Configures dynamic threshold alerting policies for Google Cloud Vertex AI Agent Platform agents, monitoring latency, error rates, and quality metrics using Terraform and PromQL.

Designs effective alerting and incident management for production services, covering alert rules, on-call rotations, runbooks, and incident response workflows.

Use to turn a one-off support search into a standing monitor or alert that stays useful instead of being muted within a fortnight. Trigger for "alert me when a customer mentions X", "notify the team when complaints spike", "keep watching for this", "set up a daily monitor for", turning an ad-hoc sweep into something recurring, or an existing alert nobody reads any more.

Alert design and on-call practices — severity, runbooks, SLO burn-rate alerting, escalation. Use when designing alerts, writing runbooks, reducing alert fatigue, setting up escalation policies, implementing SLO-based alerting, or improving on-call processes.

Operate the VSS alert pipeline for real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, and camera onboarding.

Use when a high-priority signal needs to reach the operator but doesn't fit the current conversation (off-hours wake, urgent error needing eyes, scheduled-tick discovery worth surfacing now). Routes via MIMIR_OPERATOR_ALERT_CHANNEL.

Reduces SOC alert fatigue by tuning detection rules, consolidating duplicate alerts, implementing risk-based alerting, and measuring alert quality metrics to maintain analyst effectiveness.

Configure notification integrations (Telegram, Discord, Slack) via natural language

Set price, IV rank, unusual activity, earnings, and VRP alerts with contextual notifications and management commands.

Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). (gstack)

Manages GenAI tuning jobs in Agent Platform by listing, inspecting, or canceling ongoing model tuning jobs.

Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.

Manage a stock/crypto watchlist with price target and stop-loss alerts via AIsa API. Add, remove, list, and check tickers with live price alerts. Use when the user wants to track stocks, set price alerts, manage a watchlist, or check triggered alerts.

Implements push notifications with Firebase Cloud Messaging and local notifications in Flutter, covering iOS APNS, Android, foreground/background handling, actions, and deep linking.

Control Eight Sleep pods (status, temperature, alarms, schedules).

Control Eight Sleep pods (status, temperature, alarms, schedules).

Runs background timers and alarms, notifying the user when they complete.

Sets one-shot reminders for events, tasks, and deadlines, confirming the time and scheduling delivery when cron is available.

Runs background timers and alarms, notifying the user when they complete.

skill-trigger-reminders

Controls an Eight Sleep smart bed pod from the command line, including temperature, alarms, schedules, audio, and base adjustments.

Runs background timers and alarms, notifying the user with a reminder message when a timer completes.

Burn HUD

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

Configures autonomous heartbeat and cron-based proactive routines (e.g., morning briefing setup, unanswered-message scan cadence). Invoke when user is SETTING UP or MODIFYING a proactive routine, not when the routine itself fires. Cron crons execute their own logic — they do NOT load this skill. Triggers: "set up proactive check", "configure heartbeat", "add morning briefing", "tune cron cadence".

Monitor RSS feeds, arXiv, HackerNews, GitHub trending for topics of interest on cron schedule.

Eng manager-mode plan review. (gstack)

Creates safety alert decks with hazard stripes, tiered cards, and policy code blocks for incident reviews and risk communication.

Add accessible animated AI loading and agent-status indicators with the React thinking-orbs library. Use when a chat, copilot, voice, search, generation, or tool-running interface needs a semantic working, searching, solving, listening, composing, or shaping state; when replacing a generic spinner with an AI activity orb; or when implementing the library's size, theme, speed, pause, reduced-motion, and canvas behavior.

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

Queries Azure Monitor metrics, manages Log Analytics workspaces, audits alert rules and diagnostic settings, and configures action groups via Azure CLI.

Monitor for API billing errors and alert the owner and admin immediately. Use when: an API billing error is detected, a peer PA reports a billing error, or during routine health checks. Handles detection, notification, and fallback model switching. Model-agnostic: works with any LLM provider (Anthropic, OpenAI, Google, etc.).

Send a phone-push notification to the operator via ntfy.sh. Use ONLY for genuine algedonic alarms — events the operator needs to know about within minutes, not hours. The push lands on their phone; the cost of misuse is operator desensitization (they mute the topic and the channel goes dark). Do not use for routine surfacing, status updates, or things that can wait for the next chat turn.

Visual Prompt Tuning

Alert component for displaying important messages and notifications. Invoke when user needs to show contextual feedback messages with different types and styles in Naive UI.