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Found 38 Skills
Use Nara/PNU Korean spell-check surfaces conservatively to proofread Korean text, chunk long input, and return change-focused correction suggestions.
표준 한국어 규칙에 기반한 문법, 맞춤법, 띄어쓰기, 구두점 검사기. 맞춤법 오류(되/돼, -ㄴ지/-는지), 띄어쓰기 오류(의존명사, 보조용언), 문법 오류(조사 사용, 시제), 구두점 문제를 감지하고 교정합니다. 다음 상황에 사용하세요. (1) 한국어 문서 작성 후 검토 (2) 작성 중 실시간 교정 (3) 코드의 한국어 주석이나 문서 검사 (4) 설명과 함께 한국어 문법 학습 (5) 공식 문서 품질 보장
This skill should be used when reviewing or editing copy to ensure adherence to Every's style guide. It provides a systematic line-by-line review process for grammar, punctuation, mechanics, and style guide compliance.
This skill should be used when the user requests to "write documents", "compose articles", "write emails", "edit Chinese text", "check formatting", "correct typography", "mix Chinese and English layout", "format documents", "review document formatting", or "proofread", or when the user is preparing to write or edit Chinese documents, emails, messages, or any formal Chinese text content. This skill provides formatting and typographical corrections based on the Chinese Style Guide, focusing on layout and formatting without altering the author's intended expression.
Clinical copy-editor that reviews text for communication issues. Use when user says review for prose or improve the prose
Runs Vale prose linter on markdown/text files and auto-fixes issues. Use when the user asks to lint, proofread, or improve writing quality of markdown or text files.
Correct subtitle files (.srt) generated from speech recognition. Use when the user uploads subtitle files and asks to correct, fix, or proofread subtitles, especially for technical content like programming tutorials, AI/ML courses, or any content with domain-specific terminology. Supports Chinese and English subtitles with intelligent error detection and correction while preserving exact timeline information.
Typst Academic Paper Assistant (supports Chinese and English papers, conference/journal submissions). Domains: Deep Learning, Time Series, Industrial Control, Computer Science. Trigger Words (any module can be called independently): - "compile", "compile", "typst compile" → Compilation Module - "format", "format check", "lint" → Format Check Module - "grammar", "grammar", "proofread", "polish" → Grammar Analysis Module - "long sentence", "long sentence", "simplify", "decompose" → Complex Sentence Analysis Module - "academic tone", "academic expression", "improve writing" → Academic Expression Module - "logic", "coherence", "logic", "cohesion", "methodology", "methodology" → Logical Cohesion & Methodology Depth Module - "translate", "translate", "Chinese to English" → Translation Module - "bib", "bibliography", "bibliography" → Bibliography Module - "deai", "de-AI", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "title", "title optimization", "create title" → Title Optimization Module - "template", "template", "IEEE", "ACM" → Template Configuration Module
Proofread posts before publishing for spelling, grammar, repetition, logic, weak arguments, and broken links
Use when a user asks to "proofread", "review and correct", "fix grammar", "improve readability while keeping my voice", and to proofread a document file and save an updated version.
Use this skill when the user says phrases like "get transcript", "transcribe video", "extract script", "help me extract it", "what does this video say", "what did this blogger say", or directly provides a video link requesting content extraction. Even if the user only sends a video link without stating their request, proactively trigger this skill if the context involves benchmark analysis or content extraction. Call video2text.py to obtain the raw transcript, use AI to correct common speech recognition errors, identify the author, and archive it to the benchmark blogger directory. Do NOT trigger for: analyzing viral content patterns (use li-analyzer), recording own topic ideas (use li-recorder), writing own scripts (use li-writer). Use when the user wants to "get transcript", "transcribe video", "extract script", or gives a video link for content extraction. Runs speech-to-text, AI proofreads, and archives to benchmark blogger directory.
Reviews spec documents for text quality issues without knowledge of the feature description. Fixes errors directly. Invoked by spec-writer, not directly.