Results for “vocabulary”

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).

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

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

Design modules that offer substantial behavior through a small interface, the rules callers must understand. Use shared design terms to simplify usage, contain complexity, choose where implementations can vary, and make behavior easier to test.

• Simplifying a module's interface
• Bringing scattered complexity into one module
• Choosing where implementations can be swapped

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.

• 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.

• 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.

• 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.

• 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.

• 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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

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.

The English summary is being prepared. Showing the original description.

维护连词成句项目时使用。适用于修改 FastAPI 应用、路由、服务、数据库加载、词库、句库、静态前端、AI 能力、README、spec、AGENTS.md、测试或运行配置；要求先 research，再 plan，再按生产级验收闭环交付。

The English summary is being prepared. Showing the original description.

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

The English summary is being prepared. Showing the original description.