'nodes' 검색 결과

Generate 4–30 second videos with synchronized audio using ByteDance Seedance 2.5. Organize image, video, and audio references, write shot-by-shot prompts, and define continuity rules to keep characters and locations consistent across cuts.

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• Generating short videos with synchronized audio
• Planning multi-shot scenes with consistent characters and locations
• Building video prompts from image, video, and audio references

Manage Godot projects from the command line: create scenes, inspect their structure, add nodes, run GDScript, and check syntax. Build exports using configured presets, with JSON output available for agents.

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• Create a Godot project and its first scene
• Inspect scene structure and add nodes
• Run GDScript tools and check syntax

Refactor TypeScript code that handles several variants in multiple places using frozen classes and a Visitor interface, which defines a handler for each variant. This helps type checking expose missing handlers when new variants are added.

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• Refactor a union type with repeated switch statements
• Design commands or nodes that need several kinds of processing
• Catch missing handlers when adding a new variant

Set up encrypted connections between devices with Tailscale and control access by user or device. The skill covers network routing, device name resolution, and self-hosting the coordination server with Headscale.

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• Replacing a traditional VPN with Tailscale
• Restricting server access by team or device
• Connecting remotely to internal networks

Define custom entities and relationships in cognee, a memory system for AI applications. This skill guides model design, identity matching, searchable fields, and troubleshooting when entities are duplicated or relationships are missing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing custom entities and relationships
• Preventing duplicate entities across imports
• Investigating missing search results or relationships

Configure n8n nodes by checking which fields each operation needs and which settings reveal additional options. Start with a minimal configuration, validate it, look up unclear properties, and make targeted edits to existing code or text fields.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking required fields when changing a node operation
• Finding why a configuration field is hidden
• Editing part of a long code or text field

Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a chatbot with conversation memory
• Connecting external tools to an AI agent
• Returning data in a defined JSON format

Build custom calculation and parsing tools that an n8n AI Agent can call. This skill covers JavaScript or Python inputs, structured arguments, string results, tool descriptions, and fixes for invocation and output errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a calculation tool to an AI Agent
• Defining typed inputs for multiple arguments
• Fixing tool output type errors

Investigate stalled TPU training across multiple slices on GKE using hang reports, logs, and latency metrics. Separate compilation inconsistencies and data input stalls from hardware or network faults, and identify the relevant nodes for further investigation.

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• Investigating HANG_DETECTED logs during TPU training
• Separating input stalls from hardware faults
• Mapping reported faulty instances to GKE nodes

Plan and configure GKE cluster networks, including private nodes, IP address ranges, DNS, and outbound connectivity. Use the guidance to set up VPC-native networking and Dataplane V2, which provides built-in network policy enforcement.

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• Designing a private GKE cluster network
• Planning IP ranges for Pods, Services, and nodes
• Configuring outbound access with a static source IP

Review GKE reliability settings for applications running in Kubernetes. Configure availability safeguards during maintenance, health checks, replica counts, graceful shutdown, and distribution across zones and nodes to help workloads handle disruptions.

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• Reviewing GKE high availability
• Maintaining Pod availability during upgrades
• Configuring application health checks

Configure GKE ComputeClasses, which define preferred computing resources for workloads. Set fallback options between Spot and on-demand VMs, target GPUs or machine families, control class usage, and investigate pods waiting for suitable nodes.

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• Configuring fallback from Spot VMs to on-demand capacity
• Selecting GPUs, TPUs, or machine families
• Restricting ComputeClass editing and workload usage

Manage GPU compute jobs on Qizhi through a command-line tool. Find available nodes, submit distributed training runs, launch batches with different parameter combinations, and inspect, monitor, or stop jobs across workspaces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available GPU nodes across workspaces
• Submitting distributed training jobs
• Launching evaluation batches with different parameter combinations

Manage NodeGroup resources in a KubeSphere environment, including creation, updates, and deletion. Bind or unbind nodes, namespaces, and workspaces, verify changes, and investigate synchronization problems or deployment settings using the bundled API script.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting and updating NodeGroup resources
• Binding nodes, namespaces, and workspaces
• Investigating synchronization failures

Build custom calculation and parsing tools that an n8n AI Agent can call. This skill covers JavaScript or Python inputs, structured arguments, string results, tool descriptions, and fixes for invocation and output errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a calculation tool to an AI Agent
• Defining typed inputs for multiple arguments
• Fixing tool output type errors

Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a chatbot with conversation memory
• Connecting external tools to an AI agent
• Returning data in a defined JSON format

Configure n8n nodes by checking which fields each operation needs and which settings reveal additional options. Start with a minimal configuration, validate it, look up unclear properties, and make targeted edits to existing code or text fields.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking required fields when changing a node operation
• Finding why a configuration field is hidden
• Editing part of a long code or text field

Analyze relationships between people, objects, or papers as networks in Python. Use NetworkX to find shortest paths, identify important nodes and communities, visualize connections, exchange graph data, and generate sample networks for testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Visualizing social relationships or paper citation networks
• Finding shortest paths through a network
• Identifying important nodes and closely connected groups

Analyze relationships between people, objects, or places using Python networks. Build connection diagrams, find shortest paths, identify important nodes and closely connected groups, visualize network structure, and save the resulting data and measurements.

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• Visualize social or citation networks
• Find shortest routes through a network
• Identify important nodes and connected groups

KubeKey (kk) Usage Guide. For Kubernetes cluster lifecycle management including creation, scaling and deletion. Use this skill whenever the user mentions kubekey, kk commands, cluster setup, cluster management, adding nodes, deleting nodes, creating inventory files, configuring clusters, installing Kubernetes, or deploying K8s. Also use this skill when the user asks about inventory.yaml, config.yaml formats, CNI configuration, container runtime setup, offline installation, or artifact operations. Provides detailed guidance on kk subcommand usage, config file formats, inventory structure and common workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Structure a Godot 4.7 project with the scene tree and node composition: build reusable scenes, instance PackedScenes at runtime, navigate the tree safely, and register autoload singletons. Use when designing .tscn scenes, deciding how to split nodes, spawning instances with instantiate(), wiring autoloads, or fixing "node not found"/freed-node errors in a Godot project.

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Use when building or debugging Geometry Nodes, headless or live: procedural modeling, scattering objects on a surface, arrays along a curve, repeat or for-each loops, simulation zones, 5.2 physics (cloth, colliders, forces, effectors), closures, bundles, matrices, node-group assets with gizmos. Also when a GN script links nothing, shows red links, ignores modifier inputs, loses instances in a bounding box, or a simulation resets or jumps.

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Debug Kubernetes pods, nodes, and workloads. Use when pods are failing, containers crash, nodes are unhealthy, or users mention debugging, troubleshooting, or diagnosing Kubernetes issues.

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Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-side signals (Xid, ECC, NVLink, EFA reachability, FSx saturation) and routes to the appropriate sibling skill (hyperpod-node-debugger, hyperpod-nccl, hyperpod-version-checker, hyperpod-issue-report) for any remediation. Triggers on uneven NCCL across nodes, straggler node, FSx slow, checkpoint slow, dataloader slow, filesystem bottleneck, FSx throughput, cross-AZ latency, topology mismatch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.