'node' 검색 결과

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

Set up KubeEye in KubeSphere to inspect Kubernetes clusters. Define checks for configurations, nodes, and services, schedule recurring or one-time inspections, and retrieve findings as HTML or spreadsheet reports.

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• Install KubeEye for cluster inspections
• Create checks for node health and configuration
• Schedule recurring cluster inspections

Create new PPTX presentations, DOCX documents, XLSX spreadsheets, and PDF reports with PaperJSX. Describe content and layout in structured JSON, then run a Node.js script to generate the file and check that it is not empty.

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• Creating presentation slides as PPTX files
• Generating reports as DOCX documents
• Creating XLSX spreadsheets with charts

Configure a repository for Superset so new isolated Git workspaces have dependencies, environment files, and service access ready. Create lifecycle scripts in .superset/config.json and verify the setup by starting a real test workspace.

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• Prepare a repository for use with Superset
• Install dependencies automatically in new workspaces
• Provide environment files when creating workspaces

Guides setup and operation of Lambda Labs GPU instances for machine learning training and inference. Covers SSH access, persistent storage, API automation, and multi-GPU or multi-node training, including how to retain checkpoints and terminate idle instances.

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• Setting up a GPU instance for LLM fine-tuning
• Keeping datasets and checkpoints between sessions
• Automating instance launch and termination through the API

Work around file-writing failures involving quotes, backticks, or template literals by using a Python helper script. Then run TypeScript directly through Node.js and filter diagnostic output to focus on errors reported in newly written files.

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• Write files containing template literals
• Create several files through one Python helper
• Focus TypeScript diagnostics on newly written files

Run TypeScript type checks when standard commands fail, then filter diagnostics to files involved in your task. Preserve the compiler’s exit status while reviewing relevant errors separately from existing project errors.

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• Running type checks when npx tsc fails
• Reviewing diagnostics for newly created files
• Filtering errors to a feature directory

Run TypeScript checks without generating output files, with a fallback when the usual commands fail. The workflow records existing errors, filters diagnostics to changed files, and repeats checks after fixes to assess the modified code.

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• Check TypeScript files after editing
• Retry checks when npx or the local binary fails
• Separate existing errors from changed-file diagnostics

Investigate insecure deserialization, where restoring objects from stored or transmitted data can execute unwanted code. Covers multiple languages, input format recognition, vulnerable processing points, verification methods, and documentation of affected libraries and entry points.

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• Reviewing code that restores objects from external data
• Identifying serialized data in cookies and request bodies
• Assessing message consumers and admission webhooks

Measure website performance with Lighthouse, interpret scores and reports, and compare results across builds. Set limits for loading times and resource sizes, then integrate audits into CI, an automated workflow that checks code changes.

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• Measure mobile and desktop website performance
• Understand Lighthouse scores and failed checks
• Set limits for resource sizes and loading times

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.

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

Build and configure web servers with Nitro, including request handlers, caching, storage, and scheduled tasks. The skill also guides deployment to supported runtimes and platforms, plus migration from Nitro v2 to v3.

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• Implementing server routes and caching
• Adding scheduled tasks and WebSocket connections
• Configuring deployment for supported platforms

Review text for common AI writing patterns without changing it. When Node execution is available, a local detector supplies scores and matches; contextual review separates useful editorial findings from possible false positives.

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• Reviewing a draft for formulaic AI phrasing
• Checking technical prose with context in mind
• Scanning Markdown without scoring its metadata

Configure XRequest for AI chat API connections, authentication, and streaming responses that arrive in successive pieces. The skill explains practical request settings, connection checks, and how to keep secret keys on the server when building browser applications.

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• Configure streaming requests for an AI chat API
• Connect a private API to a custom Provider
• Route browser requests through a server proxy

Create, adapt, or repair a Tutti workspace app as a publishable package or a local debugging setup. It prepares manifests, launch scripts, storage settings, and validation, including fixes for projects that fail to load.

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• Creating a publishable Tutti app package
• Adapting an existing project for local debugging
• Repairing a project that fails to load in App Center

Configure NeMo AutoModel training launches on a local node, a Slurm cluster scheduler, or cloud resources through SkyPilot. Prepare launch settings for GPUs, containers, environment variables, multi-node communication, and optional performance profiling.

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• Switching between local and cluster training launches
• Configuring a multi-node Slurm training job
• Preparing SkyPilot spot jobs with checkpoint recovery

Connect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package. Use for PostgreSQL queries, connection pooling, transactions, and Microsoft Entra ID (passwordless) authentication. Triggers: "PostgreSQL", "postgres", "pg client", "node-postgres", "Azure PostgreSQL connection", "PostgreSQL TypeScript", "pg Pool", "passwordless postgres".

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Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs.

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Generate A2UI v0.8 surfaces for the OpenClaw Windows tray node, which renders A2UI natively in WinUI/XAML (not a WebView). Read this when pushing canvas.a2ui.push/canvas.a2ui.pushJSONL to a Windows node - covers the 18 supported components (Row, Column, List, Card, Tabs, Modal, Divider, Text, Image, Icon, Video, AudioPlayer, Button, CheckBox, TextField, DateTimeInput, MultipleChoice, Slider), the icon-name enum, the A2UIValue tagged union, JSONL envelope shapes, and action.context security / dataBinding rules. Catalog-strict: components outside this list render as the fallback Unknown placeholder.

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Build event-driven, decoupled Godot 4.7 gameplay with signals and node groups: declare and emit custom signals, connect with Callables (incl. bind/one-shot), and broadcast to many nodes via groups and call_group. Use when wiring node communication in a Godot project, replacing tight references with signals, emitting/connecting events, or porting 3.x connect("sig", self, "method") code.

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Build Godot 4.7 user interfaces with Control nodes: anchors and offsets for responsive layout, Container nodes (VBox/HBox/Grid/Margin) for automatic arrangement, Theme resources for consistent styling, and keyboard/gamepad focus navigation. Use when laying out a HUD, menu, or UI in a Godot project, working with Control/Container nodes, anchors, themes, or focus in a .tscn.

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Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.

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Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs.

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Build 2D games and animations using SpriteKit. Use when creating game scenes with SKScene and SKView, adding sprites with SKSpriteNode, animating with SKAction sequences, simulating physics with SKPhysicsBody and contact detection, creating particle effects with SKEmitterNode, building tile maps, using SKCameraNode, or integrating SpriteKit scenes in SwiftUI with SpriteView.

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