'extending' 검색 결과

Configure SAML identity federation, a way to share authentication between systems, linking on-premises Active Directory with Microsoft Entra ID. Cover single sign-on for cloud applications, user attribute mapping, authentication model choices, and signing certificate management.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extending on-premises authentication to cloud resources
• Comparing authentication models for hybrid identity
• Setting up SAML single sign-on for SaaS applications

Use when generating or extending video with Google Veo models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame transitions, reference-to-video (R2V) with asset or style reference images, native audio with dialogue, sound effects, and ambience, negative prompts, seeded reruns, extending a 16:9 clip, or choosing a quality, fast, or lite tier. Keywords: Veo 3.1, Veo 3.1 Fast, Veo 3.1 Lite, Extend Video, Google, T2V, I2V, V2V, 720p, 1080p.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

NanoClaw 대화 환경에서 Markdown으로 저장한 세션의 재개, 분기, 세션 간 검색, 기록 압축, 내보내기를 다루며 모델 전환과 스킬 불러오기도 지원합니다.

• 저장한 세션 재개
• 위험한 변경 전 대화 분기
• 세션 간 검색과 기록 압축

Create photos, illustrations, product mockups, and other bitmap images, or edit existing images by replacing backgrounds, removing objects, and making transparent cutouts. Use reference images to guide style, composition, or visual variants.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a website hero image
• Explore product or packaging mockups
• Remove objects or replace an image background

Design APIs and interfaces between modules with clear inputs, outputs, naming, and errors. The skill guides compatible extensions, input validation, and retry handling so callers can use interfaces consistently without accidentally repeating state-changing operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing new REST endpoints
• Defining frontend and backend data contracts
• Extending an API while preserving compatibility

Compare a PPTX exported from HTML with its source slides to find cropped text, footer overlaps, and lost styling. Identify shared causes, revise layout rules, and re-export the deck with automated checks for content extending beyond slide boundaries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check an HTML slide deck against its exported PPTX
• Fix cropped text and footer overlaps
• Investigate missing italics and unexpected fonts

Find installable agent skills for a task you want help with. Search using relevant keywords, explain matching options with installation commands and detail links, and install a chosen skill through the provided script when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding skills for a specific task
• Exploring skills for a new area of work
• Checking what a skill does and how to install it

Assess code change risk, locate complex areas, and inspect file statistics with ruflo analysis commands. The skill also guides running and extending ruflo’s regression guards, automated checks that help catch previously fixed problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing risk before reviewing a code change
• Finding complex code that needs attention
• Running ruflo regression guards locally

Build custom visual effects in Three.js using shaders, programs that control shape and surface appearance. Add animated waves, glowing edges, gradients, or dissolving surfaces, and extend existing materials with custom rendering behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animate a surface with wave-like deformation
• Add glowing edges or gradients
• Create a dissolving surface effect

Create and edit bitmap images, such as photos, illustrations, product mockups, and game assets. Use reference images for visual variations, replace backgrounds, remove objects, or make transparent cutouts while preserving specified parts of an existing image.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create photos or illustrations for a website
• Replace a product photo background or remove unwanted objects
• Make transparent cutouts

Build command-line interfaces for graphical applications in Cursor using the CLI-Anything workflow. It supports creating and extending these interfaces, running tests, checking required criteria, and listing tools through slash commands or natural-language requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a command-line interface for a graphical application
• Extend an existing CLI to cover more operations
• Run tests and validate a CLI implementation

Support decisions with market, technical, competitor, and other research. Draft prompts for external research tools, condense existing reports into source-cited summaries, or conduct web research directly, including comparisons between candidates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching markets or competitors for a decision
• Drafting a prompt for an external research tool
• Turning an existing report into a source-cited summary

Find agent skills for a specific task, compare candidates using their capabilities, sources, and installation history, and install a selected skill into Cherry after the user has expressed an intent to install it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a skill for a specific task
• Comparing skill sources and installation history
• Installing a selected skill into Cherry

Use GitNexus to inspect which conditions control a statement and how variable values flow within a function. Understand early exits, investigate empty query results, and guide changes to the tool’s control and data dependency queries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check which conditions control a statement
• Trace a variable within a function
• Investigate empty pdg_query results

Understand and extend GitNexus taint analysis, which tracks data from input sources to potentially dangerous operations. Use its implementation guidance to investigate missed or incorrect findings, add detection models, and validate analysis changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating missed or incorrect data-flow findings
• Adding input sources, dangerous operations, or sanitizers
• Reviewing analysis that follows data across functions

Design and refactor Python components with clear responsibilities and simple structure. Assess when to split large classes, combine objects instead of extending them, and extract shared code without introducing unnecessary abstractions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining responsibilities for a new Python component
• Splitting oversized classes and functions
• Deciding when to extract shared code

Set up OpenMAIC and generate interactive classrooms with multiple AI agents. The skill guides hosted or local use, model configuration, and classroom generation, and also supports customizing the product or building with its SDK, a set of development tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trying classroom generation with the Live Demo
• Setting up and checking a local installation
• Generating a classroom from requirements and materials

Find installable agent skills for a specific task, check their sources and adoption, and present relevant options with explanations, links, and installation commands. Help install a selected skill when the user wants to proceed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find skills for a specific task or field
• Compare skill sources and adoption before installation
• Get installation commands and links for relevant skills

Configure Fail2ban to detect port scans, repeated SSH login attempts, and suspicious web requests from server logs. Create custom detection patterns, automatically block source IP addresses, and set up notifications and longer bans for repeat offenders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automatically blocking port scans against public servers
• Defending SSH against repeated login attempts
• Detecting suspicious paths in Nginx access logs

Set up decoy credentials, storage, and secrets across AWS, Azure, and GCP to detect suspicious access. Connect audit logs to security alerts, verify detection, and document permissions, resource inventories, and maintenance plans.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Detecting use of leaked cloud credentials
• Monitoring suspicious access to decoy storage and secrets
• Extending on-premises deception coverage to cloud environments

Extend the amount of text a language model can process at once. Compares RoPE, YaRN, ALiBi, and position interpolation, with implementation examples, additional training guidance, and memory optimization approaches for long document processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extend an existing model to handle longer inputs
• Compare methods for representing token positions
• Plan additional training with long documents

Turn a feature into an agent skill or improve an existing one. Define purpose-specific quality criteria, review outputs with models from three providers, then add tests and check that user requests reach the intended skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a reusable feature into an agent skill
• Audit an existing skill for missing parts
• Check quality after fixing or extending a skill

Extract references between imported documents and classify how they relate, such as relying on, extending, or refuting another work. Store these relationships as typed links so explicit graph queries can trace connections through the collection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing which papers extend earlier research
• Checking which decisions overrule or distinguish a case
• Following the documents a brief relies on

Track candidates from first outreach to offer acceptance, and review time spent at each stage, conversion rates, and recruiting sources. Use these measures to understand hiring progress and where candidates drop out.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing candidate progress across hiring stages
• Finding delays and drop-offs in the hiring process
• Comparing recruiting sources and offer acceptance rates