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Examine Zeek connection logs for regular callbacks that may indicate communication with an attacker’s control server. Use ZAT and Pandas to group connections, measure timing variation, and identify source and destination pairs for further investigation.

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• Hunting for periodic callbacks in Zeek connection logs
• Comparing connection timing across source and destination pairs
• Developing beaconing detection rules and hunting queries

Organize PyTorch training code with LightningModule and Trainer. Follow examples for validation, logging, model saving, and distributed training across multiple GPUs, with callbacks that add monitoring or stop training when progress stalls.

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• Converting an existing PyTorch training loop
• Adding validation, logs, and model checkpoints
• Configuring training across multiple GPUs

Guide Zoom Contact Center integrations across Zoom client apps, websites, and native mobile apps. Use platform references to implement chat, video, scheduled callbacks, and handling of customer interaction states, context changes, and resource cleanup.

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• Build an agent side-panel app with notes per customer interaction
• Embed chat or video on a website
• Add chat, video, or scheduled callbacks to a mobile app

Fix Riverpod "Cannot use Ref or modify other providers inside life-cycles/selectors" crash in @riverpod provider bodies. Use when: (1) Crash during provider disposal with this exact error message, (2) Using keepAlive() with timer-based disposal, (3) Async callbacks (.then, .catchError) try to use ref.read() or ref.invalidateSelf(), (4) Error occurs after ref.onCancel/onResume/onDispose callbacks fire. Solution: wrap ref operations in try-catch or avoid using ref in async callbacks entirely.

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Register a custom Listings callback for JetEngine — the per-field transform fired when a Dynamic Field widget renders meta values (Format date, Format number, Get post title, Convert units, …). Two registration paths are supported. Legacy 3-filter via jet-engine/listings/allowed-callbacks (label), jet-engine/listings/allowed-callbacks-args (control schema), and jet-engine/listing/dynamic-field/callback-args (positional args at runtime). Modern single-call $manager->register_callback($name, $label, $args) hooked on jet-engine/callbacks/register fires the three filters internally for you. Critical contract — the callback identifier you register MUST be a real PHP callable string (a global function name OR `Fully\\Qualified\\Class::method`). Bare static method names like `'unit_converter'` fail JE's is_callable() gate at apply_callback() and the rendered field silently becomes empty. Use when scaffolding a JetEngine companion plugin's listing-field transform, when seeing "callback appl...

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Analyze Zeek and NetFlow records for ransomware-related activity, including regular callbacks to attacker infrastructure, TOR connections, and possible data exfiltration. Combine indicators into risk scores and structured reports with timelines to support threat hunting and incident investigation.

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• Hunting for active ransomware network activity
• Investigating possible data theft before encryption
• Checking periodic callbacks and TOR connections

Helps integrate Zoom Contact Center into native Android apps, including chat, video, virtual agent interactions, and scheduled callbacks. Covers SDK setup, service lifecycle management, campaign support, and handling users who rejoin a session.

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• Add chat and video support to an Android app
• Integrate virtual agents and scheduled callbacks
• Check SDK initialization and service cleanup

Guide embedding Zoom Virtual Agent in an Android WebView, a browser view inside an app. Covers communication with Java or Kotlin, URL routing, support handoff events, and embedding that accounts for the WebView lifecycle.

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• Embedding Zoom Virtual Agent in an Android app
• Receiving JavaScript callbacks in Java or Kotlin
• Routing links from a WebView to native app handling

Build Zoom meeting integrations in Windows C++ applications, including custom interfaces and bots that run without a visible interface. Guidance covers authentication, audio and video data access, project setup, and troubleshooting callbacks through the Windows message loop.

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• Embedding Zoom meetings in a Windows desktop application
• Building a meeting bot without a visible interface
• Receiving meeting audio and video data

Integrate Zoom Contact Center chat, video, ZVA, and scheduled callbacks into native iOS apps. Follow guidance on service initialization, app lifecycle events, video rejoining, and callback handling, with references and debugging checklists.

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• Add chat or video support to a native iOS app
• Implement scheduled callbacks and callback handling
• Connect app lifecycle events to the SDK

Plan Table v9 state ownership across the table, framework state, and external atoms that hold values. Covers initial values, update callbacks, and reset behavior, helping coordinate individual state sections without conflicting owners.

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• Choosing where to manage pagination state
• Connecting external state to update callbacks
• Reviewing external atom ownership

Migrate an existing Android app from the legacy Google Mobile Ads SDK to GMA Next-Gen SDK. The skill maps dependencies, imports, classes, and methods, and guides changes to initialization, ad callbacks, and UI thread handling.

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• Replace legacy advertising SDK dependencies
• Update ad imports, classes, and method calls
• Adapt initialization and UI updates in callbacks

Organize PyTorch training code with LightningModule and Trainer. This skill guides training, validation, logging, model checkpoint saving, early stopping when progress stalls, and configuration for running the same model across multiple GPUs.

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• Organize existing PyTorch training code
• Add validation and metric logging
• Save the best models and stop stalled training

Authors and edits AWS Step Functions state machines: writes Amazon States Language (ASL) in JSONata, and chooses and structures state types (Task, Choice, Map, Parallel, Pass, Wait, Succeed, Fail). Covers ASL syntax, JSONata data transformation and variables, Retry/Catch error handling, service integrations (.sync, waitForTaskToken callbacks), Distributed Map for large-scale S3/CSV processing, saga/compensation patterns, Standard vs Express workflow choice, TestState API unit testing, and migrating state machines from JSONPath to JSONata. Use when the user is building, authoring, debugging, or migrating a Step Functions state machine or ASL definition, or orchestrating multi-step workflows with branching, retries, or human-approval callbacks, even if they don't say 'Step Functions.' Do NOT use for general Lambda function code, API Gateway, EventBridge wiring, or SAM/CDK application packaging.

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Implement event-driven patterns with Claude API: streaming SSE events, Message Batches callbacks, and async processing architectures. Use when building real-time Claude integrations or processing batch results. Trigger with phrases like "anthropic events", "claude streaming events", "anthropic async processing", "claude batch callbacks".

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Implement and verify callbacks only from an approved tenant-specific Abridge event contract, with replay and PHI protections. Use when vendor implementation documents authorize event delivery. Trigger with "build the Abridge event handler".

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Detects command-and-control beacons in network logs by analyzing connection timing: measuring inter-arrival intervals, accounting for jitter, and scoring regularity per source/destination pair to surface periodic callbacks. Activates for requests to hunt C2 beaconing, find periodic callbacks, or analyze connection-interval regularity.

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Framework PyTorch de alto nível com classe Trainer, treinamento distribuído automático (DDP/FSDP/DeepSpeed), sistema de callbacks e boilerplate mínimo. Escala de laptop para supercomputador com o mesmo código. Use quando quiser loops de treinamento limpos com boas práticas integradas.

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High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

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High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

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Check the full connection between a local agent API and a remote sandbox through a temporary tunnel. Run a task that needs no connected tools, verify its response, and restore the web app’s original API connection.

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• Checking a local agent API from end to end
• Investigating tasks stuck after dispatch
• Verifying gateway callbacks reach the local API

Expose a local development server or webhook receiver, which accepts notifications from external services, through Pinggy using SSH. Get a public sharing URL and add access controls without installing a separate tunneling program.

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• Share a running development server
• Receive webhook callbacks locally
• Connect a remote client to a local HTTP MCP server

Integrate GSAP animations into React and Next.js components using useGSAP, element references, and scoped selectors. The skill guides dependency updates, event callbacks, and cleanup when components unmount, while keeping animation code out of server rendering.

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• Adding GSAP animations to React components
• Restricting animations to elements within one component
• Cleaning up animations when components unmount

Build and evaluate single-agent reinforcement learning experiments, where an agent learns actions from rewards. Use Stable Baselines3 to choose algorithms, create environments, monitor training, and save models with the normalization data needed for consistent evaluation.

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• Set up a reproducible reinforcement learning experiment
• Create and validate a custom Gymnasium environment
• Monitor training and save checkpoints