'nearby' 검색 결과

Review image alt text, the descriptions read by screen readers, for unnecessary phrases and duplication of nearby text. Identify specific images to fix and make their descriptions concise while preserving information about what the images mean.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing image descriptions for accessibility
• Removing alt text that repeats nearby captions
• Checking screen reader output after fixes

Audit a Google Business Profile and compare it with nearby competitors. Review listing details, customer reviews, and Maps rankings at points around the business to identify visibility gaps and prioritize fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing a store's business profile
• Comparing reviews and listing details with nearby competitors
• Checking Maps rankings across a service area

Audit how a local business appears on map platforms. Analyze location-based rankings, reviews, nearby competitors, and inconsistent business details, then receive prioritized recommendations and structured business data for website use, depending on the connected APIs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare map rankings across a local area
• Review business profile completeness and customer reviews
• Find nearby competitors

Claim 美团 coupons and find nearby restaurant deals. Compare meal packages by price and distance, confirm an order, and receive payment instructions. Daily coupon collection can also be scheduled through Octop.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Claim available 美团 coupons
• Find nearby restaurant meal packages
• Order a selected deal and receive payment instructions

Amap (Gaode) Maps comprehensive service for POI search, route planning, travel planning, nearby search, heatmap visualization, and geocoding. Use when user wants to search locations, plan routes, find nearby places, or visualize geographic data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

FAISS로 대규모 벡터에서 유사한 데이터를 검색하도록 돕습니다. 인덱스 선택과 저장, GPU 사용을 안내하고 검색 속도·정확도·메모리 사용량을 조정합니다.

• 대규모 벡터 유사도 검색 구현
• 속도·정확도·메모리에 맞는 인덱스 선택
• GPU를 이용한 일괄 검색

Look up addresses and coordinates, find nearby places, and check routes, travel times, and local timezones. Use open map data to gather location details for trips, local searches, or area research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find cafes or pharmacies near a location
• Check routes and travel times between places
• Convert place names to coordinates and back

Find work and solutions from previous sessions using a staged memory search. Filter results by ID, inspect nearby context, and retrieve full observations or original tool inputs and responses only when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a problem was solved before
• Recovering the steps used in an earlier task
• Reading the context around a past record

Analyze Git changes or pull requests against a knowledge graph, a map of code components and relationships. Identify modified files, nearby dependencies, affected architectural layers, and review risks, then save data for a dashboard visualization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding a pull request before review
• Checking the impact of uncommitted changes
• Reviewing changes across architectural layers

Read Facebook posts, comments, feeds, and local events, and organize saved items. Use the same skill to manage your own Marketplace listings and handle drafts, published posts, metrics, and scheduled posts for Pages you manage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing posts, comments, and reaction counts
• Finding local events for a specific date
• Organizing saved items and collections

Check whether a code change works by running the app and using its real interface. Exercise the intended flow and nearby error cases, capture outputs or screenshots, and report observed behavior with a clear verdict.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking changed behavior before committing code
• Probing invalid inputs and repeated operations
• Preparing verification reports with captured evidence

Work with genomic regions in Polars tables to find overlaps, nearby regions, covered bases, and gaps. Read and write bioinformatics files, query data with SQL, and check coordinate conventions when joining datasets or migrating from bioframe.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding variants that overlap genomic regions
• Merging regions and measuring covered bases
• Summarizing sequencing read depth

Review a pull request or code diff for bugs by reading callers, expected behavior, and nearby error handling. Receive findings tied to specific lines, ranked by severity, plus a summary of merge risks and needed tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a pull request for behavioral regressions
• Reviewing risks to stored data
• Investigating input validation and access checks

Review and refine source-code comments and documentation attached to functions or other declarations. The skill removes redundant explanations, checks outdated TODOs, and preserves concise, evidence-based reasons and constraints that maintainers cannot readily infer from the code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning up redundant code comments
• Reviewing TODO and FIXME markers
• Checking documentation when changing code

Build similarity search with FAISS to find nearby matches in large collections of numeric vectors. The skill guides index selection, memory reduction, GPU use, and saving indexes while balancing search speed and accuracy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find similar items in large vector datasets
• Choose an index for search speed and accuracy
• Reduce memory use for vector search

Review FastGPT pull requests or local branch changes by examining actual code differences. Explain behavior changes and affected areas, identify unrelated changes, and report concrete concerns about code quality, consistency with nearby implementations, and missing test coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding the behavior changes in a FastGPT pull request
• Comparing a local branch with upstream/main
• Identifying unrelated changes or excessive refactoring

Explore roads, lanes, and junctions in a CARLA simulation map through text reports and visual overlays. Locate places described in everyday language, inspect nearby lane details, and trace a path forward or backward along a lane.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand a map's road and lane layout
• Compare the road network overlay with visible roads
• Locate the four-way junction nearest the map center

Inspect a vehicle or another object in a running CARLA simulation. Read position, speed, and acceleration from the same simulation frame, check vehicle controls and steering angle, or stream the object's state over time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking the ego vehicle's speed and heading
• Streaming acceleration data for ten seconds
• Inspecting a specific vehicle's controls

Control traffic lights in a running CARLA simulation. Change their color, switch them off, hold a fixed state, adjust phase durations, or restore normal cycling, targeting individual lights, junctions, nearby lights, or the whole map.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Holding every traffic light green
• Setting one junction's lights to red
• Shortening traffic-light cycles

Build similarity search with FAISS to find nearby matches in large collections of numeric vectors. The skill guides index selection, memory reduction, GPU use, and saving indexes while balancing search speed and accuracy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find similar items in large vector datasets
• Choose an index for search speed and accuracy
• Reduce memory use for vector search

Plan and carry out wireless security assessments, from surveying nearby networks to checking authentication weaknesses and recording findings. Covers personal and enterprise Wi-Fi, rogue access points, and testing considerations for Wi-Fi 6, 6E, and 7.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a corporate Wi-Fi security assessment
• Reviewing WPA2 and WPA3 authentication weaknesses
• Testing enterprise Wi-Fi against rogue access points

Add subtle mouse-responsive depth to a Three.js hero scene. Smooth pointer movement drives small camera shifts and different object rotations, keeping the subject aligned with nearby text and cards while creating a gentle sense of perspective.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add subtle mouse response to a 3D hero
• Give foreground and background different movement
• Keep a moving model aligned with text and cards

Compare running models or tasks on a device, nearby edge infrastructure, or in the cloud. Break down interaction delays, data transfers, energy use, costs, and failure recovery to assess deployment choices for multimodal and real-time agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing device, edge, and cloud execution
• Estimating interaction delays on unstable networks
• Assessing battery use and sustainable processing speed