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Specialized skill for testing time-dependent logic using TimeProvider. Use when testing DateTime, controlling time flow, handling timezone conversions, and testing expiration logic. Covers TimeProvider abstraction, FakeTimeProvider time control, time freezing and fast-forwarding. Keywords: datetime, time testing, TimeProvider, FakeTimeProvider, DateTime.Now, time-dependent, cache expiration, token expiration, Microsoft.Bcl.TimeProvider, GetUtcNow, SetUtcNow, Advance, time freeze, time freezing, time fast-forward

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Get C# examples for timezone conversion, location lookup, and scheduling in .NET applications. The skill explains Windows and IANA timezone identifiers, daylight saving changes, and suitable libraries for different platforms and scheduling needs.

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• Find timezone identifiers for cities and addresses
• Convert between UTC and local time in C#
• Handle timezones across Windows and Linux

Reconstruct activity on a compromised computer by combining file timestamps, event logs, browser history, and other evidence into one timeline. Extract and filter events with Plaso, then review and annotate them collaboratively in Timesketch.

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• Reconstructing the sequence of a computer compromise
• Comparing events across logs and file records
• Investigating timestamp changes and cleared logs

Time and timezone utilities for getting current time and converting between timezones. Use when: (1) Getting current time in any timezone, (2) Converting time between different timezones, (3) Working with IANA timezone names, (4) Scheduling across timezones, (5) Time-sensitive operations. Triggers: "what time is it", "current time", "convert time", "timezone", "time in [city]".

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Create a Dubai time card as an SVG image and a Markdown summary from supplied time values. It fills the included templates and saves both files in the designated output directory without fetching or recalculating the time.

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• Turning supplied Dubai time into a visual card
• Saving a time card with a Markdown summary
• Creating time cards from a consistent template

Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.

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• Learn how to install and use TimescaleDB
• Design tables for time-series and event data
• Implement time-bucket and continuous aggregates

Fetch the current date and time in Dubai using a bash command. Return the time, the GST timezone label, and the complete dated output as separate fields for a consistently structured response.

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• Checking the current time in Dubai
• Retrieving Dubai's date and time with its timezone
• Returning time information in separate fields

Build a shared incident timeline in Timesketch from endpoint, server, and cloud logs. Search events, add tags and investigator notes, reconstruct the attack sequence, and organize findings into a story for incident reporting.

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• Reconstructing the sequence of an incident
• Reviewing evidence with multiple analysts
• Combining Plaso output and other logs

Use this skill when writing analytical SQL over time-series data with the TimescaleDB Toolkit (timescaledb_toolkit extension) hyperfunctions: approximate percentiles, statistical summaries, time-weighted averages, counter/gauge rates, uptime/heartbeat tracking, state durations, OHLC candlesticks, approximate distinct counts, top-N, and downsampling. **Trigger when user asks to:** - Compute percentiles/medians/p95/p99 over large or rolled-up time-series data - Compute rates or deltas from monotonic counters (Prometheus-style) or gauges - Compute time-weighted averages or integrals over irregularly sampled data - Track uptime/downtime from heartbeats, or time spent in each state - Build OHLC/candlestick or VWAP data for financial ticks - Store re-aggregatable summaries in continuous aggregates (two-step aggregation, rollup) - Approximate COUNT DISTINCT, find top-N / most frequent values, or downsample for charts **Keywords:** timescaledb_toolkit, hyperfunctions, percentile_agg, uddsketch, tdigest, approx_percentile, stats_agg, time_weight, counter_agg, gauge_agg, heartbeat_agg, state_agg, candlestick_agg, hyperloglog, approx_count_distinct, min_n, max_n, mcv_agg, lttb, asap_smooth, rollup, two-step aggregation

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检查FaceTime内部状态和拨号准备情况，经批准后向已配置的所有者联系地址发起音频或视频通话，也可请求挂断并检查后续状态。

• 检查通话内部状态和拨号准备
• 向已配置的所有者发起音频通话
• 明确请求发起视频通话

Automate Desktime operations through Rube MCP, a connection for agent tools. The skill finds available actions, checks the service connection, and uses current input requirements to run the requested workflow.

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• Finding available Desktime actions
• Running Desktime workflows through an agent
• Performing bulk operations with discovered tools

Automate Desktime operations through Rube MCP, a connection for agent tools. The skill finds available actions, checks the service connection, and uses current input requirements to run the requested workflow.

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• Finding available Desktime actions
• Running Desktime workflows through an agent
• Performing bulk operations with discovered tools

Check the current date and time in Pakistan Standard Time, which is UTC+5. The skill uses a bash command and presents a concise line containing the date, a 24-hour time, and the PKT label.

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• Checking the current time in Pakistan
• Getting the date and time in PKT
• Displaying Pakistan time in a concise 24-hour format

Test cryptographic code for timing side channels, where execution time can reveal secrets. Use dudect to detect statistical differences and Timecop with Valgrind to trace secret-dependent operations, then interpret results and retest changes.

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• Checking cryptographic functions for secret-dependent timing
• Measuring timing differences in compiled binaries
• Tracing the cause of a suspected timing leak

Configure the Industries Enhanced Timeline in Health Cloud to display clinical events, custom object records, and activity history on a patient or member record. Trigger keywords: Enhanced Timeline, TimelineObjectDefinition, Industries Timeline, timeline categories, clinical event display, timeline configuration. NOT for building a custom timeline or patient-card LWC — use apex/health-cloud-lwc-components. NOT for the standard Task and Event activity timeline — use admin/activity-and-task-patterns.

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Forecast sales and other time series with Google’s TimesFM without task-specific training. Prepare regularly spaced CSV data, export predicted values and uncertainty ranges, add explanatory variables, and evaluate forecasts against held-out observations.

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• Forecast monthly sales or revenue from CSV data
• Export predicted values with uncertainty ranges
• Forecast with additional explanatory variables

Forecast sales, demand, or sensor readings with Google's pretrained TimesFM model, without custom training. Check hardware and dataset memory needs, include external factors such as prices or holidays, and obtain forecasts with uncertainty ranges.

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• Forecasting future sales or demand from CSV data
• Including prices and holidays in sales forecasts
• Forecasting multiple stores' time series in batches

Manage Fluid in KubeSphere with configuration files and commands for installation, data connections, caching, status checks, and troubleshooting. Prepare Dataset and runtime resources, preload data into cache, and adjust runtime replica counts.

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• Install or upgrade Fluid in KubeSphere
• Configure data connections and caching
• Preload data into cache with DataLoad

Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.

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Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.

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Use when GitHub may have shipped a GraphQL schema update affecting timeline event unions (PullRequestTimelineItems / IssueTimelineItems), when the gh-timeline dispatcher fallback is hitting more than expected, before a gh-timeline release, or when the user requests phrases like "verify timeline coverage", "audit gh-timeline schema", "check for new timeline events", "GitHub schema changed". Walks through schema diff → patch → test update → live verification → optional fixture refresh, marking each spot where a human decision is required.

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Manage Clockify time tracking from Claude Code with natural language requests. Create, retrieve, or delete time entries, start timers, check running entries, and view workspaces and members for reporting, activity reviews, and invoice preparation.

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• Log work time against a project
• Retrieve past time entries for invoice preparation
• Delete incorrect or duplicate time entries

Build coordinated animation sequences with GSAP timelines. Set when each movement starts, overlap effects, name key moments, combine smaller sequences, and control playback, including pause, reverse, restart, and jumps to a specific point.

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• Animating several elements in a planned order
• Overlapping effects at precise times
• Organizing animation sections with labels

Build voice applications and phone agents with guidance on OpenAI Realtime API, Vapi, Deepgram, ElevenLabs, and LiveKit. Choose services for speech recognition, voice generation, and live communication, while addressing response delays and interruptions.

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• Build a voice assistant that responds in real time
• Create a phone support agent with Vapi
• Connect speech recognition and voice generation