“time”的搜索结果

Plan and carry out agent deployments on Google Cloud using agents-cli. The guide covers deployment targets, permissions, secrets, automated build and deployment pipelines, verification, and recovery procedures for agents built with supported frameworks.

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• Comparing Agent Runtime, Cloud Run, and GKE
• Setting up automated build and deployment pipelines
• Configuring secrets and service account permissions

Make specific C# behavior testable by adding a minimal way to replace time, randomness, or other external dependencies. Preserve public APIs and production behavior, then run repeatable tests without real file access or waiting.

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• Testing deadlines and delays with controlled time
• Testing file operations without touching real files
• Testing random or environment-dependent behavior

Investigate .NET app crashes on Apple platforms by converting runtime addresses in .ips logs into function names, source files, and line numbers. It locates matching debug symbols and supports retrieving logs from connected iOS devices.

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• Investigating .NET MAUI or Mono crashes on Apple platforms
• Resolving runtime addresses to source files and line numbers
• Retrieving crash logs from a connected iPhone

Connect Timeline Inspector’s Refine panel to an agent through a chat-based fallback loop. It returns animation adjustments, groups transitions by component and phase, and writes accepted timing changes to source files when apply jobs arrive.

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• Handling Refine requests without a persistent agent CLI
• Showing animation timing suggestions in the panel
• Grouping transitions into opening and closing phases

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.

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Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. **Trigger when user asks to:** - Migrate or convert PostgreSQL tables to hypertables - Execute hypertable migration with minimal downtime - Plan blue-green migration for large tables - Validate hypertable migration success - Configure compression after migration **Prerequisites:** Tables already identified as candidates (use find-hypertable-candidates first if needed) **Keywords:** migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.

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Manage Simulink Real-Time target computers from MATLAB — list available targets, check whether a target is connected, read its lifecycle status, add/remove/rename targets, set IP addresses and credentials, choose the default target, install TLS material, configure a startup application, and run target lifecycle ops (connect, reboot, RTOS update). Use whenever the user asks "which targets are available", "is my target connected", "what's the status of the target", "add a Speedgoat", "switch default target", "change the target IP", "reboot the box", "update the target", or works with `slrealtime.Targets`, `tg = slrealtime`, `addTarget`, `removeTarget`, `getTargetNames`, `getDefaultTargetName`, `setDefaultTargetName`, `connect`, `isConnected`, `status(tg)`, `setipaddr`, `setupTLSCertificate`, `setStartupApp`, `reboot`, `update`, or `slrealtime.testSetup`. Covers Speedgoat target computers and Simulink Real-Time Linux devices.

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Answer how long agent work will take, how much longer active work needs, or what clock time applies. Estimate full AI-agent wall time, measure active progress first, and get owner-facing times from `sno report-time`. Never estimate human-developer time.

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Expert knowledge for real-time and baked lighting in games - from cinematography fundamentals to engine-specific optimization, covering GI, time-of-day, volumetrics, and platform-aware lighting pipelinesUse when "lighting, light design, baked lighting, realtime lighting, lightmap, lightmapping, light probe, reflection probe, global illumination, GI, ambient occlusion, shadow, shadow cascade, time of day, day night cycle, volumetric fog, volumetric lighting, god rays, HDR, tonemapping, bloom, exposure, emissive, area light, Lumen, Enlighten, ray tracing, RTGI, light baking, lighting, global-illumination, lightmapping, shadows, GI, light-probes, reflection-probes, HDR, tonemapping, volumetric, fog, time-of-day, baked, realtime, mixed-lighting, lumen, enlighten, radiosity, ray-tracing, RTGI" mentioned.

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Sentiment & Momentum Analysis — news sentiment scoring, social media buzz (Reddit/StockTwits/X), analyst ratings consensus, institutional 13F activity, insider trading signals, and short interest / squeeze potential. Returns Sentiment Score (0-100). Triggered by "trade sentiment <TICKER>".

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Complete Kimai time-tracking API integration. Manage timesheets, customers, projects, activities, teams, invoices and exports via REST API. Supports time tracking workflows, reporting, and administrative operations. Keywords - kimai, zeiterfassung, timesheet, tracking, project, customer, activity, invoice, export, timer, stunden

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Research recent X/Twitter reactions to markets, companies, products, or communities. Produce a reusable Markdown briefing that groups supportive, critical, and neutral views, with citations, coverage details, and an assessment of overall sentiment.

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• Checking reactions to a product on X/Twitter
• Comparing positive and negative views of a company or stock
• Reviewing social reactions to a market event

Find JavaScript that executes strings as code, including eval(), new Function(), and string-based timers. Review how it runs in the browser and suggest alternatives for parsing data, choosing operations, and scheduling functions to reduce code injection risks.

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• Finding eval() and other string execution
• Replacing eval() used to parse JSON
• Changing string-based timers to function references

Find practical meeting or appointment times while accounting for availability, working hours, travel, and time zones. Arrange private holds or invitations, reschedule or cancel within authorization, and distinguish proposed times from confirmed bookings.

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• Find meeting times with travel buffers
• Create a private hold or send an invitation
• Reschedule one occurrence of a recurring meeting

Build and review HyperFrames animations using motion recipes, scene templates, and transitions. Find guidance for seven animation runtimes, including GSAP and Three.js, and inspect existing scenes for timing gaps and inconsistent motion.

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• Combine motion recipes for text and shapes
• Build scenes with several animation phases
• Choose an animation runtime

Fix white flashes and blending problems between scenes in HyperFrames videos. This skill explains background setup, overlapping scene containers, final-frame holds, and timeline templates so transitions render with the intended appearance.

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• Fixing white flashes between dark scenes
• Checking opacity dips during crossfades
• Assembling the master timeline

Capture Remotion Studio timelines with matching framing and create a video that wipes between the before and after images. The workflow also covers recreating an older layout from a historical code revision.

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• Create a video comparing timeline layouts
• Recapture a layout from an older code revision
• Save before and after screenshots with matching framing

Improve Remotion Studio rendering performance by limiting which components update with every frame. The skill guides on-demand timeline reads and React.memo usage, helping keep stable components from rerendering unnecessarily while preserving updates where the displayed frame matters.

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• Reduce unnecessary rerenders on every frame
• Read the current frame only when an event needs it
• Move frame-dependent rendering into a small child component

Build an evidence-backed incident timeline in a CTF sandbox by correlating logs, network captures, and other artifacts. Trace attacker actions across sources, distinguish confirmed events from inferred gaps, and preserve the sequence that supports the conclusion.

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• Combine logs and network captures into an incident timeline
• Trace attacker actions from initial access to persistence
• Separate confirmed event order from inferred gaps

Analyze custom virtual machines written in JavaScript by extracting instruction tables, examining constants, and capturing runtime state. Use the findings to reconstruct how obfuscated code executes, including custom runtimes used in risk-control engines.

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• Identify a custom virtual machine in obfuscated JavaScript
• Extract and classify virtual machine instructions
• Trace exported functions and their execution flow

Look up a flight by number and date to check its status, delays, departure and arrival times, terminal, and gate. Reports distinguish scheduled and actual times and include the timezone for every time shown.

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• Checking a flight's current status
• Checking delays before heading to the airport
• Checking arrival times for an airport pickup

Connect a local CopilotKit agent to Slack through a managed Intelligence Channel. The skill guides dedicated Slack app creation, credential setup, runtime configuration, and checks that a human mention receives an actual reply.

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• Setting up a dedicated Slack bot for a local agent
• Investigating a Channel stuck waiting for its runtime
• Diagnosing mentions that receive no reply

Identify runtime signs of attackers breaking out of Docker or Kubernetes containers. Review namespace changes, privilege abuse, sensitive host access, and unusual system calls to guide incident investigations and compare monitoring coverage across security tools.

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• Investigating a suspected Docker or Kubernetes container escape
• Choosing runtime behaviors to monitor for escape attempts
• Comparing escape detection coverage across security sensors

Analyze Chrome, Edge, and other Chromium browser profiles with Hindsight to reconstruct web activity. Combine browsing history, downloads, cookies, and other stored records into a chronological timeline, with XLSX, JSON, or SQLite output for investigation.

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• Reconstructing browsing activity during incident response
• Checking download times and source URLs
• Comparing cookies and history in insider threat investigations