'annotation' 검색 결과

데스크톱 랜딩 페이지의 구조를 회색 상자로 그립니다. 번호 주석과 사양 패널을 연결해 배치 및 구현 시 참고할 내용을 공유하는 와이어프레임을 만듭니다.

• 데스크톱 랜딩 페이지 구조를 검토할 때
• 개발 담당자에게 사양 메모를 전달할 때
• 내비게이션과 주요 홍보 영역 배치를 확인할 때

Choose an approach for map animations in Remotion, from satellite image overlays to globe views and terrain flythroughs. The skill compares five techniques and directs the agent to the implementation guide for the intended shot.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animate overlays on a static satellite image
• Create globe views or show 3D buildings
• Choose a map approach without an API key

Find biological pathways and functions enriched in gene lists or ranked gene data. Choose an appropriate statistical method, align gene identifiers, define comparison backgrounds, and turn results into interpretable tables and plots with multiple-testing corrections.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding enriched pathways among differentially expressed genes
• Running GSEA on a complete ranked gene list
• Calculating gene-set scores for individual samples or cells

Match scientific labels to ontology identifiers, standardized IDs for concepts such as tissues, cell types, and diseases. Checks existing IDs, labels, obsolete terms, and prefixes to support metadata annotation, submission preparation, and table audits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Annotating tissue, cell type, or disease fields with standard IDs
• Auditing metadata tables for incorrect IDs and labels
• Checking obsolete terms and available replacements

Create scientific charts in Python with detailed control over axes, colors, labels, legends, and layout. Arrange multiple plots in one figure and export PNG, PDF, or SVG files for papers and presentations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create charts from experimental data
• Arrange multiple plots in one figure
• Adjust colors, labels, and annotations

Finds papers, preprints, citation links, and openly available full text through 18 scholarly APIs. Selects databases for the task and returns relevant records with search parameters, identifiers, and access dates so the retrieval can be repeated.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find papers and preprints on a research topic
• Look up a paper by DOI, PMID, or arXiv ID
• Find openly available full text or PDFs

Review supplied writing through twelve DHDNA dimensions, a framework for describing reasoning and expression. Receive observations supported by quotations, optional scores, and comparisons between samples, with clear limits separating textual patterns from psychological traits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reflect on reasoning patterns in your writing
• Compare argumentation across selected texts
• Review how a text expresses assumptions and uncertainty

Analyze existing evolutionary trees and other hierarchical trees with ETE 4. Edit branches, add annotations, compare branching structures, explore large trees interactively, and render figures for publication using the appropriate optional visualization components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prune selected species and change a tree's root
• Compare branching structures between two trees
• Add NCBI or GTDB taxonomy information

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

Analyze DepMap cancer model data to rank genes required for cell survival, compare groups defined by biological markers, and explore drug responses. Release tracking and statistical checks help organize evidence for research hypotheses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ranking gene dependencies in cancer models
• Comparing groups defined by biological markers
• Finding genes with similar dependency patterns

Turn article ideas into hand-drawn, 16:9 illustrations featuring Grav, a floating character. Plan image placement and visual metaphors, then generate white-background sketches with sparse English labels and review their consistency.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan illustrations for a blog post
• Explain an abstract concept through a visual metaphor
• Keep illustration styles consistent across articles

Helps contributors develop and fix Airflow’s Java SDK for JVM tasks. Explains public API boundaries, JAR packaging, Python coordination, communication schema updates, and the test commands used to validate changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding features or fixing bugs in the Java SDK
• Reviewing public API and internal implementation boundaries
• Investigating JAR discovery and JVM startup failures

Review Python code for common mistakes in error handling, asynchronous operations, type annotations, and tests. Use a practical checklist and correction examples to guide code reviews, investigate bugs, and improve existing implementations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Python code before a merge
• Investigating bugs caused by common coding mistakes
• Refactoring legacy Python code

Add Python type hints and configure strict checking with mypy or pyright to catch type errors before execution. Covers reusable classes that preserve type information, interfaces defined by required members, and checks for possibly missing values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding type hints to existing Python code
• Introducing strict type checks gradually
• Designing reusable classes with preserved types

Investigate LLM application failures with Phoenix CLI by reviewing execution records, recording observations, and grouping mistakes into counted categories. Inspect datasets and experiments to identify which failure types deserve evaluation tests first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Grouping observed mistakes into failure categories
• Choosing which evaluation tests to build first

Improve LLM prompts using Arize production traces, evaluation results, and human feedback. Extract current instructions, identify recurring failures, revise the prompt, and compare experiments to measure changes in output quality and catch regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve a prompt using failed production traces
• Fix responses that use the wrong output format
• Review unsupported answers in retrieval-based responses

Helps implement shared browser support with Zoom Cobrowse SDK. Covers customer and support agent integration, PIN connections, drawing tools, sensitive field masking, and consent-based page scrolling, with references for authentication and connection troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add shared browsing to a customer support website
• Connect customers and support agents using a PIN
• Hide sensitive form fields during support sessions

Check single-cell RNA-seq data quality, filter low-quality cells using median absolute deviation, a measure of spread, and compare plots before and after filtering. Outputs include filtered data and the original dataset with quality annotations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess single-cell RNA-seq data quality
• Filter low-quality cells and rarely detected genes
• Compare quality plots before and after filtering

Design charts, maps, and dashboards around the question readers need answered. Choose suitable chart forms, communicate findings through titles and labels, and check custom colors with a local palette validator to support clear visual distinctions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a chart type for comparisons or trends
• Improve dashboard layout and number formatting
• Check a custom chart palette

Build visual AI systems that detect objects or divide images into labeled regions. This skill guides dataset preparation, model selection, training, evaluation, inference optimization, and deployment using frameworks such as PyTorch and Ultralytics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an object detection pipeline
• Clean images and convert annotation formats
• Optimize a trained model for deployment

Guides development across the Kilo JetBrains plugin’s shared, frontend, and backend modules. Explains remote calls between modules, UI thread rules, dependency packaging, and testing practices, including serialization failures that require checks in a running IDE.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Placing new code in the appropriate plugin module
• Defining frontend and backend communication
• Reviewing UI threading and coroutine usage

Add or modify Tauri commands in the screenpipe desktop app and regenerate TypeScript bindings, the code connecting frontend calls to Rust handlers. Follow the required annotations and checks to keep both sides consistent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a command to the desktop app
• Updating Rust types exposed to the frontend
• Regenerating TypeScript bindings after changes

Review PDF and Office documents for language errors, contradictions, confidential information, factual inaccuracies, and calculation mistakes. Produce an annotated copy with issue severity and suggested corrections, using external sources and calculations where needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Proofreading reports before sharing
• Checking figures and cited facts
• Finding confidential information before publication

Plan and generate illustrations for Chinese articles using the black character 小黑, white backgrounds, and sparse handwritten annotations. The skill identifies passages worth illustrating, proposes placements and visual metaphors, and guides image generation, revision, and delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning illustration placement in Chinese articles
• Explaining ideas and processes through visual metaphors
• Generating individual hand-drawn article illustrations