420 件 ・ 関連度順
概要と使いどころ
Provides bidirectional translation (Chinese/English), grammar checking, and sentence polishing. Supports specific tense constraints, context-aware tone adjustment, and natural expression optimization. Outputs direct text without formatting.
日本語の概要は準備中です。原文の説明を表示しています。
Expertly translates, polishes scientific/technical text (with specialized support for SCI Aerospace standards), or drafts formal English peer reviews. Ensures accuracy, clarity, and adherence to high academic standards.
日本語の概要は準備中です。原文の説明を表示しています。
综合英语语言分析与生成助手，支持单词词源分析、句子语法与发音解析，以及基于特定结构的英文句子生成与翻译。
日本語の概要は準備中です。原文の説明を表示しています。
Calculate comprehensive numerology reports using Pythagorean or Chaldean systems. Supports English, Tamil, Telugu, Kannada, and Hindi. Use when a user wants numerology readings, life path numbers, destiny numbers, name analysis, birth date numerology, or lucky number calculations.
日本語の概要は準備中です。原文の説明を表示しています。
Use for writing any English text like docs, notes, summaries, explanations, answers, README sections.
日本語の概要は準備中です。原文の説明を表示しています。
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze prompts and offer depth / token-budget options BEFORE answering. Use this skill when the user wants to control token usage, tune response depth, choose between short and long answers, or optimize their prompt. Triggers on: "tokens", "token budget", "depth", "consumption", "short vs long answer", "how many tokens", "save tokens", "answer at 50%", "give me the short version", "I want to control how much you use", "tune your response", "presupuesto de tokens", "profundidad", "responde al 50%", "dame la versión corta", or any equivalent phrasing in English or Spanish. If the user wants to control length, detail or depth -- even without mentioning tokens explicitly -- this skill applies.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a draft in Turkish, English, or both reads as AI-generated and needs revision that removes machine writing patterns and translation calques while preserving meaning, citations, statistics, and the author's voice.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a construct, scale, or key term crosses Turkish and English and conceptual equivalence must be audited: translation and back-translation, construct drift, and culturally bound meaning, before measurement or cross-cultural claims.
日本語の概要は準備中です。原文の説明を表示しています。
Use when building slides, a poster, or a lightning talk from a manuscript, when a presentation must exist in Turkish and English, or when conference visuals need a traceability check so every number on a slide matches the analysis behind it.
日本語の概要は準備中です。原文の説明を表示しています。
Summarize git diffs in plain English
日本語の概要は準備中です。原文の説明を表示しています。
Performs paragraph-by-paragraph translation and deep linguistic analysis. Explains English syntax, grammar, and sentence structure in Chinese. References assets from the raw source directory.
日本語の概要は準備中です。原文の説明を表示しています。