frappe-state-machine-helper
Generate state machine logic for Frappe DocTypes. Use when implementing complex status workflows, state transitions, or document lifecycle management.
CMS, document processing, and media generation.
Generate state machine logic for Frappe DocTypes. Use when implementing complex status workflows, state transitions, or document lifecycle management.
Comprehensive Japanese grammar expert covering particles, verb conjugations, sentence patterns, and the nuances between spoken and written Japanese
Comprehensive PDF manipulation - merge, split, rotate, extract pages, add watermarks, compress, and encrypt PDFs programmatically.
Use when asked to scan, decode, read, or extract data from QR codes or barcodes in images.
Generate styled word clouds from text with custom shapes, colors, fonts, and stopword filtering. Supports PNG/SVG export and frequency dictionaries.
Split text into specified-sized chunks while maintaining semantic integrity. Suitable for long text batch processing, dividing text into processable segments
Use when asked to parse, normalize, standardize, or convert dates from various formats to consistent ISO 8601 or custom formats.
Migrate session logs from markdown to JSON format. Use when PRs contain markdown session logs that need conversion to the new JSON schema, or when batch-migrating historical sessions.
Extract form field data from PDFs as a first step to filling PDF forms
基于 learning-notes-organizer 的方法论,对指定文件执行“全标题索引+含义/引导注释 + 指定章节重构 + 越界内容路由到合适标题并按需新增待整理容器”的局部重构工作流;用 planning-with-files 输出抽取→规划→映射→交付,范围外章节默认不改,仅做迁移所需最小改动。
Clean up and modernize technical Markdown notes: fix formatting errors, typos, and overly colloquial phrasing; normalize style and spacing; carefully update clearly outdated tools or libraries while staying faithful to the original content. Use when the user asks to polish, correct, or update existing Markdown notes or documentation.
Translates English technical articles (engineering blogs, documentation) to Japanese while preserving layout and structure. Use when the user asks to translate an article, convert English content to Japanese, or mentions translating a URL or technical blog post.
Extract text from PDFs for LLM consumption using AI-powered or traditional tools. Use when converting academic PDFs to markdown, extracting structured content (headers/tables/lists), batch processing research papers, preparing PDFs for RAG systems, or when mentions of "pdf extraction", "pdf to text", "pdf to markdown", "docling", "pymupdf", "pdfplumber" appear. Provides Docling (AI-powered, structure-preserving, 97.9% table accuracy) and traditional tools (PyMuPDF for speed, pdfplumber for quality). All processing is on-device with no API calls.
Write content to structured .txt files using markdown and XML formatting.
Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files
智能截断文本,保持内容的完整性和语义连贯性。适用于长文本预处理、确保文本不超过指定长度限制
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
处理和分析用户上传的文件引用,提取关键信息并提供应用建议。适用于解析@符号引用、自然语言引用、提取短剧策划相关信息
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. Use when the assistant needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Convert between 8 formats (PDF, DOCX, PPTX, XLSX, TXT, CSV, MD, HTML). Best-effort text extraction, batch processing, and document format transformation.
将文本分割成指定大小的块,保持语义完整性。适用于长文本批处理、将文本分割为可处理的片段
Extract text from images and scanned PDFs using OCR. Supports 100+ languages, table detection, structured output (markdown/JSON), and batch processing.
PDCA document writing standards. Defines document formats, naming conventions, version control, and status tracking. Triggers: document standard, naming convention, template, 문서 표준, ドキュメント標準, 文档标准