'spl' 검색 결과

Agent fallback for CCSPlayer_WeaponServices_PickupItem (auto-generated, category: vfunc). Locate CCSPlayer_WeaponServices::PickupItem in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSPlayer_WeaponServices_PickupItem, CCSPlayer_WeaponServices::PickupItem

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build web animations with GSAP plugins for text, SVG graphics, dragging, scrolling, and layout changes. It guides plugin selection, registration, configuration, and cleanup, with examples for implementing effects and reviewing existing animation code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animating headings one character or line at a time
• Adding SVG drawing and shape transitions
• Building drag interactions with momentum

Review website images for high-density displays, where standard assets can look blurry. Check higher-resolution versions, HTML and CSS image selection, delivery settings, and loading behavior, then identify specific files or components that need changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating blurry images on high-density displays
• Reviewing srcset for fixed-size and responsive images
• Checking high-resolution CSS background images

Find JavaScript code that changes existing objects or arrays, then replace those updates with modified copies. Review shared state and browser behavior to make data changes easier to trace and check fixes in context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding direct changes to shared objects
• Replacing push and splice with copy-based updates
• Reviewing state updates in client components

Refresh the GitHub star count displayed on Remotion’s website. It checks GitHub, rounds the number down to the nearest thousand, updates three components, and commits and pushes the changes to main.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refreshing the homepage’s GitHub star display
• Updating star counts across three website components
• Committing and pushing the display update to main

Build and debug interactive web 3D scenes with Three.js, React Three Fiber, or Spline. Plan product configurators and portfolios, prepare models, connect scroll interactions, and review loading feedback, fallback content, accessibility, and performance on target devices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding interactive 3D product previews and variant controls
• Creating a portfolio scene linked to scrolling
• Investigating slow loading or rendering in a 3D scene

Plan Claude Code agent teams by choosing team size, roles, and agent types with the tools each task needs. Preset compositions cover reviews, debugging, implementation, research, security audits, and migrations, alongside display settings for local or CI environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose team size and roles for a development task
• Assign separate review areas to multiple agents
• Split bug investigation across competing hypotheses

Set up or repair the OMC status display in Claude Code, then choose how much information it shows. Configure presets and individual elements to monitor task progress, context usage, and running agents during a session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up or repairing the status display
• Switching to a minimal status line
• Viewing running agents and their tasks

Verify file splits, function moves, module extractions, and renames by reproducing changes from a base commit and comparing files byte for byte. Generate repeatable proof scripts and reports that expose changes beyond relocation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting a refactor into preparation, movement, and follow-up commits
• Generating repeatable proof scripts for code moves
• Verifying every provable commit in a branch

Investigate forged Kerberos authentication tickets in Active Directory by checking Windows logs for unusual encryption, excessive ticket lifetimes, and missing authentication requests. Produce a JSON report of suspicious indicators with risk ratings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected forged authentication tickets
• Checking for possible krbtgt credential theft
• Building detection rules from authentication logs

Examine Windows and Active Directory logs for attempts to extract passwords and other credentials. Identify suspicious memory access and database exports, correlate events with user and host context, and produce findings with severity ratings and detection queries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating alerts about suspicious LSASS access
• Finding signs of SAM or NTDS.dit extraction
• Creating detection queries for Splunk or Elastic

Set up MISP to collect threat feeds and centrally manage indicators such as suspicious IP addresses and domains. Configure automated synchronization, connect related findings, and export indicators to security monitoring platforms or blocklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Centralizing threat indicators from multiple feeds
• Deploying MISP with Docker
• Automating threat feed synchronization

Split a large pull request into smaller, reviewable changes. Plan branch dependencies, extract related code, verify each part, and track review changes while preserving the intent of the original work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Split a large pull request into reviewable parts
• Separate refactoring from behavior changes
• Plan dependent pull requests

Work with Handsontable row and column positions by distinguishing source data, displayed order, and rendered cells. It guides index conversion and helps investigate misplaced data when sorting, filtering, hiding, or moving rows and columns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating misplaced rows or columns
• Converting between source and displayed indexes
• Combining filters with manual column movement

Train sentence-transformers models for search, similarity, and reranking, which reorders search results by relevance. Choose a model type, prepare data, configure training, compare results against a baseline, and publish the trained model to Hugging Face Hub.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fine-tuning an embedding model for domain-specific search
• Training a model to rerank search results
• Training SPLADE or ColBERT retrieval models

Build and review GSAP effects for text, SVG graphics, scrolling, dragging, and layout changes. The skill explains which plugins, or extensions, fit each task, how to register them, and how to configure and clean them up.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animating headings character by character
• Drawing or morphing SVG graphics
• Adding draggable cards with momentum

Train sentence-transformers models for search, similarity, and reranking, which reorders search results by relevance. Choose a model type, prepare data, configure training, compare results against a baseline, and publish the trained model to Hugging Face Hub.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fine-tuning an embedding model for domain-specific search
• Training a model to rerank search results
• Training SPLADE or ColBERT retrieval models

Extract text, tables, and images from PDFs, or create and modify PDF documents. Covers merging, splitting, rotation, watermarks, password protection, page rendering, and OCR, which turns scanned page images into text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract PDF tables into an Excel file
• Merge documents or split selected pages
• Read text from scanned PDFs

Distribute edits across the appropriate branches in a Graphite stack, a chain of dependent branches. Use manual grouping when automatic absorption misplaces changes, then update commits, resolve restack conflicts, and verify the affected branches locally.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting working changes across stacked branches
• Moving a fix to the branch that owns the feature
• Assigning new files that automatic absorption skips

Supports authorized security exercises that test data transfer outside a network. Organizes channel choices, compression, encryption, splitting, and receipt verification, alongside the monitoring signals defenders can use to identify different transfer methods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing data transfer channels for an authorized exercise
• Planning compression, encryption, and file splitting
• Verifying received files against SHA-256 records

Plan and configure command and control (C2) systems for red team exercises. Covers major frameworks, communication methods, relay servers, certificate management, and the network or endpoint signals defenders use to detect these systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare C2 frameworks for a red team exercise
• Plan communication methods and relay infrastructure
• Review C2 detection signals from a defender's perspective

Break a large feature into smaller user stories, each describing a useful change for users. Apply nine splitting patterns, define acceptance criteria, and assess which work to deliver first, defer, or remove.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting an onboarding epic into smaller user stories
• Breaking down a reporting feature before sprint planning
• Choosing a split pattern for an admin workflow

Design and review how a system is divided into modules, cohesive parts with clear responsibilities. Evaluate data ownership, communication rules, dependencies, and failure handling, and decide when to split or merge parts without assuming a particular technology.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define responsibilities and boundaries for a new module
• Review dependencies between system modules
• Clarify data ownership and communication rules

Find classes left in parent folders or namespaces and identify nested component structures. Compare consolidation, splitting, and shared code extraction, then plan and carry out refactoring with updated references and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find classes left in parent namespaces
• Compare consolidation and splitting of nested components
• Move shared utilities into a dedicated component