'time' 검색 결과

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

Find a meeting time by checking availability across multiple Google Calendar users. Review busy periods within a specified date and time range, identify a shared opening, and create an event with the attendees.

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• Find a time when multiple people are available
• Check availability within a specified date and time range
• Create a meeting in a shared opening

Reproduce Mastra Code bugs with a real model and compare timestamped logs across network, streaming, execution, and terminal interface layers. Use the evidence to locate timing problems, incorrect token rates, flicker, or stuck status displays.

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• Investigating incorrect token rate displays
• Reproducing intermittent bugs with a real model
• Tracing flicker or stuck status displays

Analyze the full retained history of one NemoClaw pull request to identify contributor, review, and automation delays. Generate a summary and an interactive timeline file, then compare observed timing with a default ten-minute target or a requested alternative.

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• Find delays across a pull request's lifetime
• Compare processing time with a target
• Measure review and merge waiting time

Set up one-time reminders and recurring tasks, then inspect, edit, delete, or run saved tasks on request. Supports specific execution dates, time zones, and cron-style schedules that define recurring times.

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• Setting a one-time reminder
• Scheduling a recurring weekday task
• Reviewing and changing saved task schedules

Diagnose iii invocation failures using error codes across Node, Python, Rust, and browser workers. Distinguish permission denials, timeouts, and handler failures, then choose appropriate exception handling and decide whether retrying is suitable.

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• Diagnosing failed function calls by error code
• Deciding whether a timed-out operation should be retried
• Handling permission denials without blind retries

Receive live Lark/Feishu updates for messages, approvals, tasks, meetings, and more. Stream them as NDJSON, one JSON record per line, with filtering and time or event limits for bots and automated event processing.

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• Receiving new messages for bot processing
• Monitoring approval and task updates
• Receiving meeting lifecycle and minutes events

Review habitual phone scrolling through three days of screen-time records, changes to app access, and alternatives such as reading or walking. If the plan proves difficult, this skill helps narrow the goal to something more manageable.

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• Reducing bedtime phone scrolling
• Replacing short videos with offline activities
• Identifying apps that consume the most time

Design and build visual stories where scrolling changes charts, maps, or video. Plan meaningful scene transitions, choose suitable implementation tools, and provide mobile layouts and static alternatives for readers who prefer reduced motion.

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• Build a story with charts that change as readers scroll
• Create a timeline combining maps and video
• Compare scrolling narratives with step-by-step displays

Collect posts from public Facebook Pages or personal profile timelines as structured data. Capture text, author details, reactions, comments and share counts, plus media information, with date options and pagination for larger collections.

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• Comparing reactions across Facebook posts
• Collecting posts around a specified date range
• Gathering post text, media links and author details

Select technologies for AI and machine learning features in .NET 8+ applications. Get task-specific plans or implementation guidance for structured predictions, text generation, document retrieval, tool-using agents, and running pretrained models locally or in production.

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• Choosing libraries for classification or prediction in .NET
• Adding text generation or summarization to an application
• Designing document retrieval with source-backed AI answers

Turn .NET runtime addresses in Android crash reports into function names, source files, and line numbers. The skill extracts build identifiers, downloads matching debug symbols, and uses llvm-symbolizer to produce a readable backtrace.

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• Triaging native crashes in .NET MAUI or Mono Android apps
• Resolving libmonosgen-2.0.so and libcoreclr.so frames
• Investigating runtime-related SIGABRT or SIGSEGV crashes

Analyze CLR activation logs to explain how .NET Framework selects and loads its runtime, the software that executes managed code. Diagnose loading failures, unexpected version choices, installation dialogs, and conflicting activation paths within a process.

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• Investigating failures to load the .NET Framework runtime
• Explaining why an unexpected CLR version was selected
• Tracing .NET 3.5 installation dialogs or their absence

[omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use external-connector-readiness for a named plugin or API, and toolbelt-readiness for the whole capability inventory. Use when the user says: executor-runtime-readiness, executor readiness, runtime readiness, codex readiness, claude code readiness, hermes coding readiness, executor tools, missing tools.

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Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".

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Get current time, format dates, calculate date differences, and convert timezones. Use this skill when the user asks about time, dates, timezone conversions, weekdays, or needs date calculations and formatting in any locale.

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Use this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases. **Trigger when user asks to:** - Test a schema migration before applying it to production - Add, remove, or rename columns safely on a live table - Change a column's data type without downtime - Add or drop indexes, constraints, or foreign keys on large tables - Understand which ALTER TABLE operations lock the table - Roll back a failed migration - Plan a zero-downtime migration strategy - Fork a database to test a migration safely **Keywords:** migration, schema change, ALTER TABLE, add column, drop column, rename column, change type, zero downtime, lock, AccessExclusiveLock, concurrent index, forking, rollback, backfill, deploy Covers: lock-level reference for every common DDL operation, safe migration patterns, fork-based testing, zero-downtime column changes, index creation, constraint addition, backfill strategies, pre/post-migration validation, and rollback planning.

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Audit a week the way Arnold Bennett's 'How to Live on 24 Hours a Day' (1908) prescribes — time as the one income that cannot be increased, the day-within-the-day, and starting with 90 minutes, not a life overhaul. Use when someone says 'I have no time', 'work eats everything', 'I want to learn X but can't fit it', or asks for a time audit or evening routine. Produces a time ledger, one reclaimed 'inner day' block, and Bennett's own warnings about overreach.

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Use for AI-assisted Unity work that needs live repo discovery, project-derived routing, runtime-owner proof, runtime-visible output hard stops, runtime numeric proof for repeated visible-output failures, state-step guards, multi-agent scope ownership, modular C#/asmdef safety, UI/scene/visual asset gates, data-first content changes, validation, cleanup proof, or durable workflow rules. Best when agents must prove the actual folder/module/scene/prefab/runtime owner before editing, especially runtime UI, generated assets, code graphs, tutorial/state flows, guided selection/action flows, overlay/dim source-bound mistakes, coordinate conversions, focus/highlight/marker/HUD alignment, predictive lead aiming, ballistic trajectories, spatial IoU verification, or repeated "fix still not visible" failures.

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Analyzes time-series and longitudinal RNA-seq for differential expression and trajectory structure. Covers DESeq2 LRT with reduced models, time as factor vs continuous vs natural splines, maSigPro (Nueda 2014 for RNA-seq), ImpulseDE2 with explicit impulse-model failure modes, DREAM for repeated measures via linear mixed models, pseudoreplication avoidance, conditional vs marginal modeling, and trajectory clustering with DPGP, Mfuzz (with Schwämmle 2010 fuzzifier estimation), and splines+k-means. Use when modeling time-course or longitudinal expression, choosing factor vs spline, handling repeated measures from the same subject, avoiding pseudoreplication, clustering temporal trajectories, or selecting between dedicated time-course tools and pairwise+LRT.

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Perform time-frequency analysis in MATLAB using CWT, STFT, synchrosqueezing, reassignment, wavelet coherence, cross spectrogram, EMD/VMD, multiresolution analysis, and time-frequency filtering. Triggers on: time-frequency, spectrogram, scalogram, cwt, stft, istft, fsst, wsst, wcoherence, xspectrogram, modwt, modwtmra, modwpt, emd, vmd, hht, tffilt, dgt, gabor, instantaneous frequency, synchrosqueezing, reassignment, ridge extraction, wavelet coherence, cross spectrum, mode decomposition, signal decomposition, time-frequency filtering.

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Use when importing or exporting vehicle data from/to log files (MDF/MF4/DAT, BLF, ASC/TXT), decoding CAN/CAN FD/LIN messages to signals via DBC, ARXML, or LDF databases, writing timetable data to MDF or BLF files, or calling blfread, blfinfo, blfwrite, mdfRead, mdfWrite, mdfCreate, mdfInfo, canSignalImport, canMessageImport, canMessageTimetable, canFDMessageTimetable, canSignalTimetable, or linMessageTimetable.

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Official GSAP skill for timelines — gsap.timeline(), position parameter, nesting, playback. Use when sequencing animations, choreographing keyframes, or when the user asks about animation sequencing, timelines, or animation order (in GSAP or when recommending a library that supports timelines).

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