'red' 검색 결과

Create and review GSAP code that animates webpage elements and SVG graphics. Covers movement, fades, easing that controls speed changes, staggered effects, playback controls, and adaptations for screen size and reduced-motion preferences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding entrance animations to webpage elements
• Animating multiple items with staggered starts
• Adjusting motion for desktop and mobile screens

Design scene transitions and animated text using matched movement direction and speed across cuts. The catalog provides concrete settings for zooms, blur, word-by-word transitions, staggered entrances, and repositioning groups of elements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect scenes with matching motion
• Transition between headlines word by word
• Bring title elements in with staggered timing

Write or refactor Remotion components so timing and full-size layout live on the content itself. Reduce redundant wrappers and organize related scenes or clips on shared Studio timeline rows while preserving timing and layout behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Put timing directly on scene and media components
• Refactor redundant Sequence and AbsoluteFill wrappers
• Group related scenes and clips on shared timeline rows

Use hosted DNA models to predict gene structures, expression levels, and regions that regulate gene activity. Start from a gene symbol, genomic coordinates, or a DNA sequence, without installing model weights or running a local GPU.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding promoter regions in a DNA sequence
• Predicting splice donor and acceptor sites
• Estimating gene expression for a specified cell type

Store database credentials and API keys in AWS Secrets Manager, configure automatic credential changes, and connect applications to stored secrets. Follow examples for access policies, Lambda rotation functions, and integration with ECS and EKS.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Move hardcoded credentials into AWS Secrets Manager
• Configure automatic database credential rotation
• Provide stored secrets to ECS and EKS workloads

Explore World Cup match predictions, related news, and market probabilities. Adjust model factors to compare possible outcomes, then optionally hand off to Binance Agentic Wallet for prediction-market trading, where orders require an explicit choice and confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review AI predictions for a World Cup match
• Compare model probabilities with market probabilities
• Recalculate probabilities with adjusted factors

Trace how access to cloud metadata leads to issued credentials and accepted privileges in a CTF sandbox. Organize endpoints, identity details, and API evidence into a minimal, reproducible path showing where trust is granted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating access to cloud metadata services
• Tracing instance or workload credentials
• Verifying privileges accepted through metadata credentials

Trace SSH keys, tokens, and other credentials in Linux CTF environments. Connect each recovered artifact to the service that accepts it, then document the resulting privileges or movement to another host.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace where recovered SSH keys and tokens are accepted
• Document privilege gains through sockets or sudo
• Explain movement between Linux challenge hosts

Trace movement between Windows hosts in a CTF sandbox using credentials and Kerberos tickets, which carry authentication information. Connect recovered artifacts to the service that accepted them and document the resulting access or privileges.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace movement between Windows hosts
• Identify services that accept recovered credentials
• Connect Kerberos tickets to resulting access

Use Stratus Red Team to simulate attack techniques across AWS, Azure, GCP, and Kubernetes. Prepare test resources, run and repeat simulations, check logs and alerts, and remove resources to assess whether security detections work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether cloud detection rules trigger
• Testing log ingestion and alert routing
• Running joint attack and defense exercises

Investigate DCSync attacks, which abuse Active Directory replication to steal password hashes. Use audit events and network traffic to identify suspicious replication requests, examine their sources, and check for subsequent credential misuse.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Hunting for credential theft in Active Directory
• Investigating suspected Mimikatz or Impacket use
• Auditing accounts with directory replication permissions

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

Build intermediary servers for authorized security exercises, separating public traffic from the command server used by the test team. It covers simple forwarding, request filtering with nginx or Apache, TLS certificates, and validation against the exercise’s traffic profile.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Separating public infrastructure from an exercise command server
• Filtering exercise traffic against a defined profile
• Adding TLS certificates to a redirector

Structure Avalonia interfaces with Zafiro.Avalonia using shared styles, reusable components, and purpose-built layout containers. Guides reductions in duplicated XAML, the interface markup, and deeply nested layouts, while covering themes, icons, and interaction behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Consolidating repeated visual settings into shared styles
• Simplifying deeply nested screen layouts
• Extracting repeated layouts into reusable components

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Reduce LLM weight usage through pruning, which removes selected model parameters. Explore Wanda and SparseGPT for compression without retraining, choose hardware-friendly patterns for faster inference, and compare the compressed model's accuracy with the original.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compressing an LLM without retraining
• Comparing pruning methods
• Exploring faster inference on supported hardware

Create a Google Shared Drive, add members with assigned roles, and check the member list. Use it to set up a shared space for a team or project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a shared drive for a new project
• Adding members with assigned roles
• Checking the members of a shared drive

Design new pages and components, audit existing interfaces, or redesign their visual structure. It emphasizes varied layouts, consistent colors and typography, mobile checks, and extracting reusable design characteristics from screenshots or readable web pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new landing page
• Auditing an existing interface
• Redesigning a page within its existing structure

Audit, create, and fix structured data, the labels that help search systems understand web pages. Get JSON-LD code for articles, products, and other page types, plus validation findings and guidance on where to place it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding structured data to articles or product pages
• Investigating structured data errors in Search Console
• Auditing existing markup and prioritizing fixes

Create and review GSAP code that animates webpage elements and SVG graphics. Covers movement, fades, easing that controls speed changes, staggered effects, playback controls, and adaptations for screen size and reduced-motion preferences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding entrance animations to webpage elements
• Animating multiple items with staggered starts
• Adjusting motion for desktop and mobile screens

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Guides LLM compression through pruning, which removes selected model weights. Covers Wanda and SparseGPT methods without retraining, accuracy comparisons, and structured weight patterns that can accelerate inference on compatible hardware.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trying model compression without retraining
• Comparing accuracy before and after pruning
• Choosing between Wanda and SparseGPT

Build LLM serving workflows that produce JSON or other required formats. The skill covers reusing computation for shared prompts, tool calls, and ongoing conversations, with examples for server setup and structured output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting article details into JSON
• Building agents that call tools
• Reusing shared prompts across conversations

Assess security weaknesses in CI/CD systems that automate software builds and delivery. Covering GitHub Actions, Jenkins, GitLab CI, and Azure DevOps, the skill examines unsafe inputs, excessive permissions, exposed credentials, and tampered build outputs, alongside detection and defensive controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing workflow inputs and execution triggers
• Assessing pipeline permissions and credential exposure
• Checking build artifact handoffs for tampering risks