word-tracker
Comprehensive word counting and tracking system for authors - track word counts across documents, monitor writing progress, and generate detailed analytics for markdown-based writing projects.
Découvrez les skills blockchain documents, comparez leurs dépôts et consultez leurs instructions.
Comprehensive word counting and tracking system for authors - track word counts across documents, monitor writing progress, and generate detailed analytics for markdown-based writing projects.
Prepare a publication package from a polished draft in the AI 实践记录 workflow.
Web content fetching and conversion to markdown for efficient LLM consumption. Provides 1 tool for fetching URLs and extracting content.
Split PDF files into smaller files by pages, page ranges, or chunks. Use when working with .pdf files, when user asks to split/divide PDFs, extract pages, separate pages, or create individual PDF files from mul...
请将以下英文文章,翻译成通俗流畅、引人入胜的简体中文,并保存。
Translate English content to Thai with cultural adaptation for idioms, formality levels (กระผม/ผม/ครับ/ค่ะ/นะ), honorifics, and context-appropriate register. Use when translating to Thai, adapting cultural refe...
Extract transcripts from YouTube videos. Use when user says "get transcript", "transcribe this video", "what does this YouTube video say", "extract captions", "youtube transcript", or provides a YouTube URL and...
Extract and read text content from PDF files. Use when working with PDF documents, extracting text, analyzing PDF content, or when user mentions reading PDFs. Requires PyPDF2 or pdfplumber packages.
Convert Markdown content to Confluence's ADF (Atlassian Document Format) for creating and updating pages. Use when creating Confluence pages from README files, documentation, or any Markdown content. Handles he...
Extract Question-Reasoning-Answer pairs from text. Use --context for domain-focused extraction. Validates answers are grounded in source text.
프로젝트 내 마크다운 문서의 깨진 링크를 검사합니다
Convert a document (PDF, URL, text) into Q&A pairs stored in memory.
Extracts content from a whiteboard image, converts it to academic LaTeX matching the user's existing note style, and saves it. Use when the user provides a whiteboard image requiring conversion to LaTeX notes.
Connection skill for PDF.co MCP server. Provides guidance on HTML-to-PDF conversion, document manipulation, and best practices for reliable PDF generation.
Fetch web pages, PDFs, and documents with automatic fallbacks and content extraction. Use when user says "fetch this URL", "download this page", "crawl this website", "extract content from", "get the PDF", or p...
Systematically checks and enforces TeX format and style consistency across all note files in the L/ and T/ directories. Use when verifying note formatting after manual editing, or when performing batch audits o...
Consolida arquivos XLSX do Wyscout em um único arquivo PKL para o Vascout. Use quando o usuário mencionar "atualizar dados", "consolidar ligas", "juntar arquivos Wyscout", "gerar PKL", ou quando novos arquivos...
Refine tone and readability of approved drafts in the AI 实践记录 workflow.
Summarizes large text content into concise summaries
Revises book chapters based on feedback. Use when user says 'revise chapter X', 'improve chapter [number]', 'rewrite the opening of chapter X', 'make chapter X more [adjective]', or provides feedback on a chapt...
iterate on research document based on user feedback. This skill requires a path to a document and feedback from the human
This skill should be used when the user wants to "transcribe a YouTube video", "get a transcript of a video", "download and transcribe audio", or needs to convert video/audio content to searchable markdown text...
Deduplicates word lists (prioritizing word.txt) and suggests spelling corrections. Invoke when user wants to clean up, deduplicate, or fix word files.
Add new translation keys to the localization package across all supported languages. Use this skill when the user asks to add translations, add localization keys, add i18n strings, create translation entries, o...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.