'nyt' 검색 결과

Use SAM to identify object regions in images from points, boxes, or existing masks. The skill provides implementation examples for transparent cutouts, automatic mask generation, annotation tools, and model selection based on available resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting objects with transparent backgrounds
• Building annotation tools with point or box selection
• Generating object masks automatically

Review code changes for unnecessary complexity, including unused flexibility, avoidable dependencies, and abstractions with little purpose. Receive concise findings that name what to remove, what can replace it, and how many lines could be cut.

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• Check code changes for over-engineering
• Find code replaceable with standard library features
• Identify unnecessary dependencies and abstractions

Create masks that identify object regions in images using points, boxes, or existing masks. The skill guides automatic mask generation, transparent-background extraction, annotation workflows, and deployment, without requiring training for each specific task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting objects with transparent backgrounds
• Building annotation tools with point and box selection
• Generating object masks automatically

Run builds, tests, and other long commands in the background while continuing other work. Explains how to read new log output, check completion, send input, and stop processes using the available platform controls.

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• Running long builds or tests in the background
• Monitoring development servers and streaming logs
• Taking over an automatically backgrounded command

Turn CSV, JSON, or a written conclusion into a newspaper-style chart for video clips or social posts. Produce a single HTML file with line, bar, or range-band charts, clear headlines, source notes, and staggered animation.

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• Showing data trends in a video clip
• Creating a chart card for social media
• Visualizing CSV or JSON data

Automatically generate production-ready Skills for any software, API, CLI tool, library, workflow, or service. Use this skill whenever the user wants to create a skill from scratch for a target application, convert an existing tool into an agent-native skill, generate skills for multiple platforms (Claude Code, OpenClaw, Codex), or automate the full skill creation pipeline including analysis, design, implementation, testing, optimization, and multi-platform packaging. Also use when the user mentions "skill-anything", "generate a skill for", "make a skill from", "skillify", or wants to turn any software into an agent-ready skill. Even if they just say "create a skill for X" where X is any tool or API, this skill should trigger.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants Hermes Agent to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to Hermes without changing the generated Python harness format.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants Codex to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to Codex without changing the generated Python harness format.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants Reasonix to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to Reasonix without changing the generated Python harness format.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants Codex to build, refine, test, validate, or list CLI-Anything harnesses for GUI applications or source repositories. Adapts the full CLI-Anything methodology to Codex without changing the generated Python harness format.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants OpenClaw to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to OpenClaw without changing the generated Python harness format.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants Hermes Agent to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to Hermes without changing the generated Python harness format.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

NYT-discipline data visualization. Applies the design rules of The New York Times graphics desk + Upshot — color, typography, annotation, chart-type selection — to make any chart render at Times grade. Use whenever generating charts, dashboards, reports, or data-driven webpages. Triggers: "make this chart look professional", "NYT style", "editorial chart", "data viz", "dashboard design".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the team lead points Architect at a prior agistra.dev hub path and asks it to check for or perform additional migration — trigger phrasing such as 'migrate my data from <path>', 'check what didn't get migrated', 'did we miss anything from my old hub', or 'do a completeness pass on <path>'. Walks the prior hub's full directory tree read-only, diffs it against the fixed scripted migration scope plus any existing migration report, and asks the team lead one clear question at a time about anything a scripted migration would never have discovered. Never writes or copies anything itself — every confirmed item is delegated to the existing migration primitives. Do not use for the first-run scripted migration prompt during `npm run setup` — that is unrelated, already-automated flow this skill does not replace.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SAM으로 이미지 속 대상을 점이나 사각형으로 지정해 오려낼 영역을 추출합니다. 자동 마스크 생성, 경계 수정, 학습 데이터 준비와 브라우저 및 장치 배포 절차를 안내합니다.

• 대상을 투명 배경 이미지로 추출합니다
• 이미지 영역 지정 도구를 만듭니다
• 이미지 인식용 학습 데이터를 준비합니다

전체 코드나 지정한 범위의 결함, 보안, 부하 대응, 테스트 부족, 불필요한 처리를 점검합니다. 구체적인 사례와 최소 수정안을 덧붙여 중요도순으로 보고합니다.

• 인수한 코드의 품질 확인
• 여러 사용자가 이용할 때의 위험 점검
• 불필요한 코드와 의존성 파악

코드 변경에서 버그, 보안, 예상 부하, 테스트 누락, 속도, 불필요한 구현을 점검합니다. 구체적인 문제 사례와 최소 수정안을 우선순위별로 보고합니다.

• 병합 전에 PR을 검토할 때
• 미커밋 변경의 버그와 위험을 확인할 때
• 위험한 로직의 테스트 누락을 찾을 때

Ask questions about a codebase using a knowledge graph, a map of its components and relationships. Get explanations tied to specific files, functions, dependencies, and architectural layers, with warnings when the graph may be outdated.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding how a feature works
• Finding callers and dependencies
• Locating code related to a concept

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

Analyze project code, configuration, and documentation to build a graph for interactive architecture exploration. It maps components and dependencies, supports Japanese descriptions, and can update the analysis based on changes since the previous analyzed commit.

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• Understand the structure of an unfamiliar project
• Explore dependencies between components
• Generate architecture descriptions in Japanese

Prepare WaveTone 2.61 audio analysis workflows by inspecting audio metadata and recording tempo, labels, and intended settings in a JSON project manifest. Launch the Windows application to perform analysis and save its outputs.

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• Inspect audio metadata before opening WaveTone
• Record tempo, meter, and section labels
• Prepare analysis settings in a JSON manifest

Turn video speech into subtitles, refine and translate the text, and embed subtitles in the video. Review tools compare subtitles with an approved script and generate a preview frame before final export.

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• Transcribe speech from a video into subtitles
• Translate subtitles for another language audience
• Export a video with embedded subtitles

Control the real Slay the Spire 2 game through commands connected to a local mod. Agents can read the current game state, play cards, choose routes, collect rewards, and manage shop and menu actions.

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• Inspect game state before choosing an action
• Play cards and use potions in combat
• Choose map routes, events, and campfire actions

Train and run Uni-Mol Tools models to predict molecular properties from CSV data. Organize experiments into projects, compare model performance, rank results, and manage storage through interactive commands or machine-readable JSON output.

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• Train molecular property models from CSV data
• Predict properties with a trained model
• Organize experiments and compare model performance