6.9K skills · sorted by relevance
Research decentralized exchange activity using read-only data on token prices, holders, trades, news, and sentiment. Track large wallets, examine new token launches, and set up real-time monitoring through CLI commands or custom WebSocket scripts.
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.
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.
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.
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.
Guide economic time series analysis from initial plots to forecasting. Use Python, R, and Stata examples to check whether statistical properties remain stable over time, choose models, diagnose errors, and examine relationships between multiple series.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.