'vocabulary' 검색 결과

Assign items to a CLOSED label vocabulary that is too large to put in a prompt — product taxonomies, category hierarchies, tag vocabularies, routing tables, ICD/SIC-style code lists. A cheap model writes the label it thinks the vocabulary would use, and an embedder snaps that writing onto the nearest legal value, so the schema is never transmitted and the output is always in-vocabulary. Use for "classify these into our taxonomy", "tag these against the existing tag list", "map these queries to categories", "the enum is too big to send", or a Literal/enum that hits a provider cap. NOT for a vocabulary that fits in a prompt — structured output measured 0.701 acc@1 there against this pattern's 0.564. NOT for open-ended labelling with no fixed vocabulary, and not for ranked retrieval over documents (bm25).

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Vocabulary learning strategies and retention science for any language -- frequency-based word selection, spaced repetition systems (Ebbinghaus forgetting curve, Leitner system, SM-2 algorithm), cognate exploitation, word family networks, context-based learning, collocations, depth of word knowledge (form, meaning, use), reading progression from controlled to authentic texts, and productive vs. receptive vocabulary thresholds. Use when building vocabulary plans, optimizing review schedules, selecting learning materials, or diagnosing vocabulary gaps.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Tier vocabulary from a text or topic into everyday, academic, and technical categories with teaching priorities. Use when pre-teaching vocabulary or identifying language barriers in a text.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Tier vocabulary from a text or topic into everyday, academic, and technical categories with teaching priorities. Use when pre-teaching vocabulary or identifying language barriers in a text.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Clarify requests for visual output by adding design specifications and UI/UX vocabulary, the language of interfaces and user experience. Use it to refine prompts for screen design or workflows that turn designs into code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying a request for a visual design
• Refining prompts for turning designs into code
• Adding UI/UX vocabulary to a design request

호출자가 익혀야 할 사용법은 줄이고 복잡한 처리는 내부에 모으는 모듈 설계를 돕습니다. 공통 용어와 판단 기준으로 사용 편의성과 테스트 용이성을 검토합니다.

• 모듈 호출 방법 간소화
• 흩어진 복잡한 처리 통합
• 구현을 교체할 위치 검토

Design modules that hide complex behavior behind a small, clear interface. Use shared design principles to review dependencies, choose where behavior can be swapped, and make code easier to test and maintain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Simplifying a module's interface
• Reviewing where to separate responsibilities
• Designing code that is easier to test

Keeps customer-facing CopilotKit Intelligence documentation consistent by applying an approved vocabulary to prose, navigation, buttons, and image descriptions. Checks disallowed alternatives and exceptions while preserving code identifiers and the labels users actually see in product controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Standardizing terminology in customer documentation
• Reviewing navigation and button labels
• Checking terminology in image descriptions

Build text tokenizers that split multilingual text into small units for AI models. Learn how to train SentencePiece on raw text, configure BPE or Unigram splitting methods, and convert text to token IDs and back.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing Japanese, Chinese, or Korean text for AI models
• Training a custom vocabulary from raw text
• Choosing between BPE and Unigram

Find alternative words and phrases that fit a sentence, audience, and tone. Suggestions distinguish close synonyms from related expressions, explain differences in meaning or formality, and include brief usage examples when helpful.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Vary repeated words in a piece of writing
• Choose wording for formal or conversational contexts
• Compare subtle differences between similar words

Build text tokenizers, which split text into units for AI models, directly from raw multilingual text. Learn custom vocabularies with BPE or Unigram, convert text to pieces or numeric IDs, and decode the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing text for multilingual AI models
• Training a vocabulary from Japanese text
• Reusing a tokenizer for reproducible text splitting

Design a Montessori three-period lesson for introducing concepts through concrete materials and naming. Use when teaching vocabulary, classifications, or concepts through hands-on materials.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design a Montessori three-period lesson for introducing concepts through concrete materials and naming. Use when teaching vocabulary, classifications, or concepts through hands-on materials.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Birding by sight and sound — gestalt, song and call vocabulary, behavioral and habitat clues, and the discipline of producing eBird-grade records. Covers the vocabulary of bird field marks, the primary categories of vocalization, the habits of habitat-filtering, and the protocol for submitting records to a citizen-science database without degrading data quality. Use when the task is bird-specific observation or record-keeping.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build or update a CONTEXT.md domain glossary for the current project. Establishes shared vocabulary with term definitions, avoid-aliases, and relationships so agents use consistent, concise language. This skill should be used when starting a new project, when domain terminology is inconsistent across sessions, when the user says "build a glossary", "define our terms", "shared vocabulary", or "domain language", or when an existing CONTEXT.md needs updating after new domain concepts emerge.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit and improve stable names, aliases, vocabulary, field casing, routes, ports, packages, and agent-search discoverability.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.