'node' 검색 결과

Find and identify the CGameSceneNode::GetSkeletonInstance virtual function's vtable slot, plus the CBaseAnimGraph::m_skeletonInstance and CSkeletonInstance::m_animationController struct member offsets, in the CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering server.dll or libserver.so to locate the scene-node accessor that returns a node's CSkeletonInstance* (or null if the node isn't a skinned model), and the two related struct-member offsets used by CounterStrikeSharp's animation-graph memory patches. Trigger: CBaseAnimGraph_m_skeletonInstance, CGameSceneNode_GetSkeletonInstance, CSkeletonInstance_m_animationController

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JavaScript와 TypeScript에서 Ethereum 해시를 구현하고 점검합니다. Keccak-256과 SHA3의 혼동으로 생기는 함수 식별자, 서명, 주소 계산 오류를 방지합니다.

• 함수 선택자와 이벤트 식별 정보 계산
• 서명과 저장 위치의 해시 처리 점검
• 공개 키에서 주소 계산

Work on advanced RuView sensing with signals from multiple WiFi nodes. Explore position estimation, three-dimensional occupancy reconstruction, changes in movement patterns over time, and defenses against suspicious signals, with guidance on implementation modules and validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combining WiFi observations from multiple nodes
• Reconstructing occupied space with RF tomography
• Studying long-term changes in movement patterns

Set up RuView sensing nodes by building and flashing ESP32 firmware, configuring WiFi and the receiving address, and checking serial logs. Diagnose missing CSI streams, the WiFi signal measurements sent by sensing nodes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a new RuView sensing node
• Reflashing firmware for an 8 MB or 4 MB ESP32-S3
• Configuring WiFi and the receiving server

Set up and inspect an Ethereum node through a command-line interface. Install execution and consensus clients, configure validator metadata, expose RPC access for external requests, and retrieve structured health reports for agent workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a new Ethereum node host
• Install chosen execution and consensus clients
• Configure RPC access through Nginx or Caddy

Manage Node.js processes through PM2 from the command line. List running processes, start or restart applications, inspect logs and metrics, and save the process list, with structured JSON output for agent workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect running processes and their metrics
• Start, stop, or restart an application
• Review recent application logs

Build real-time voice assistants in JavaScript or TypeScript using Azure AI Voice Live. Covers two-way audio streaming, authentication, speech turn detection, transcription events, and calling application functions during conversations in Node.js or browsers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a voice assistant in Node.js
• Stream microphone audio from a browser
• Configure speech boundaries and transcription events

Package a local MCP server, which connects an AI host to tools, as a .mcpb file. Include dependencies and runtime support, define installation settings, and validate, test, and sign the bundle for distribution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Package a local MCP server for distribution
• Offer installation without Node or Python setup
• Define folder selection and other installation settings

Set up telemetry, data about application operation, for web apps hosted in Azure. Choose automatic or manual instrumentation, create an Azure App Insights resource, and configure application code to send monitoring data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add telemetry to an ASP.NET Core app hosted in Azure
• Send operational data from a Node.js app to Azure App Insights
• Configure automatic instrumentation for Azure App Service

Diagnose installation and configuration problems in oh-my-claudecode, including version mismatches, duplicate legacy hooks, and missing runtime requirements. Receive a status report with recommended fixes, with confirmed repairs preserving unrelated settings and custom content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing problems after installation
• Checking configuration after an update
• Investigating duplicate legacy hooks

Design and improve server-side applications using patterns for Node.js, Express, and Next.js API routes. Code examples cover API structure, database access, caching, authentication, error handling, and background jobs to guide implementation choices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize API endpoints and application logic
• Reduce unnecessary database queries
• Add authentication and permission checks

Operate Chrome from Qwen Code to navigate pages, click controls, fill forms, and capture screenshots. It can work with existing tabs or new ones, using page structure and visual controls to carry out browser tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Navigating and clicking through pages in Chrome
• Filling in web forms
• Continuing work in an existing browser tab

Review Pascal pull requests or branches against documented architecture rules. Check package responsibilities, node extension patterns, state management, and rendering subscriptions to identify misplaced code, compatibility breaks, and changes that could cause excessive redraws.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a Pascal pull request for architecture violations
• Auditing package responsibilities in a branch
• Checking new node definitions and scene compatibility

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build AI applications with Genkit in Node.js and TypeScript, including conversational agents, generation workflows, and tools. Use documentation, type checks, and execution traces—records of model inputs and tool calls—to verify behavior and troubleshoot errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a new Genkit project
• Build a conversational agent with persistent sessions
• Manage prompts in separate .prompt files

Finds the base image needed to create a custom GKE node image. It translates requirements such as GKE version, operating system, processor architecture, accelerators, and sandbox settings into a matching image name.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a base image for custom GKE nodes
• Looking up images for GPU or TPU configurations
• Matching images to COS, Ubuntu, ARM64, or X86_64

Evaluate a machine learning GPU cluster during a cloud trial or acceptance test. Measure GPU computing performance, communication within and between machines, and local and shared storage, then compile the results into a dated Markdown report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluating trial GPU machines from a cloud provider
• Running acceptance tests for a GPU cluster
• Measuring GPU performance under load from neighboring GPUs

Helps implement iii workers in Node.js, browsers, Python, and Rust with language-specific guidance on installation, function registration, calls, data channels, and logging. Explains package choices and connection constraints for each environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing the iii SDK for a runtime
• Implementing asynchronous calls in Python
• Connecting a browser app to backend functions

Build JavaScript or TypeScript applications that run text, image, and audio models in browsers or server runtimes. Guides compatible model selection, GPU or CPU execution, caching, and memory cleanup without requiring a Python server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add text classification or translation to a browser app
• Implement image classification and object detection
• Transcribe audio using JavaScript

Find workspaces on remote nodes, inspect their details, browse folders, and read or write files. Supports text files and binary content, such as images, through base64 encoding, a text representation of binary data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find workspaces on a specific remote node
• Browse folders and read project files
• Save output files to a remote workspace

Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Choose a single instance or queue workers, configure secrets and Python task runners, and follow procedures for updates, backups, and recovery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy n8n on a personal VPS with HTTPS
• Set up queue workers for parallel workflow execution
• Update, back up, or restore an n8n instance

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

Find the specialist guidance needed to build, edit, test, or debug n8n workflows through n8n-mcp. This entry-point skill explains tool roles, directs tasks to related skills, and outlines checks for node settings, connections, outputs, and credential handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose specialist skills for an n8n automation task
• Check live node settings before editing
• Review connections and outputs before activation