Analyze media files (PDFs, images, diagrams) that require interpretation beyond raw text. Extracts specific information or summaries from documents, describes visual content. Use for document analysis, image understanding, diagram interpretation, chart analysis, table extraction, and any media requiring visual or contextual interpretation beyond literal text extraction.
Use when creating, organizing, or working with documentation in a smart-docs managed folder. Provides patterns for structuring docs, using frontmatter, and leveraging auto-load features.
Skill especializada en análisis de lenguaje pictográfico para identificar actores (personas/sistemas activos), objetos de trabajo (documentos/información/cosas físicas), actividades (verbos) y estructurar información usando el formato Sujeto -> Predicado -> Objeto. Útil para análisis de procesos empresariales, documentación de workflows, extracción de conocimiento estructurado de textos y modelado de procesos de negocio.
Convert conversation to knowledge and save to Obsidian vault at /home/lr-2002/Documents/default-obsidian/default/. Organizes notes properly using PARA method.
Create production-quality EPUB 3 ebooks from markdown and images with automated QA, formatting fixes, and validation. Use when creating ebooks, converting markdown to EPUB, or compiling chapters into a publishable book. Handles markdown quirks, generates TOC, adds covers, and validates output automatically.
Ingest and manage documents in the vector knowledge base
Use when user requests automated documentation preparation. Triggers include: - Korean: "문서 준비해줘", "문서화 준비", "문서 요구사항 작성", "자동 문서화 준비" - English: "prepare documentation", "setup doc requirements", "prepare for automated docs" - Context: User wants to prepare all requirements for automated documentation generation This skill discovers sources, defines structure, and saves complete requirements to file for use with write-docs skill (automated generation).
Extract language learning content from web pages and create structured flashcards in markdown format for spaced repetition study (Anki decks). Works with ANY language (Spanish, Japanese, Arabic, Chinese, etc.). Use when the user asks to create flashcards, flash cards, study cards, Anki decks, or mentions spaced repetition from online content. Supports grammar lessons, vocabulary, and exercises. Converts to Anki-importable format.
Use this skill when writing, editing, or creating documentation files (*.md) in the docs/ directory. Provides guidelines for token-efficient documentation that works with the Memex context-enricher system.
Extract structured information from unstructured text using LLMs with source grounding. Use when extracting entities from documents, medical notes, clinical reports, or any text requiring precise, traceable extraction. Supports Gemini, OpenAI, and local models (Ollama). Includes visualization and long document processing.
Creates, updates, and maintains documentation for projects following best practices for clarity, accessibility, and inclusivity. Use when creating new docs, improving existing documentation, checking documentation standards, ensuring global audience compatibility, validating for inclusive language, or applying agile documentation principles. Handles guides, API documentation, README files, and internal documentation with emphasis on lean/agile practices, clarity for global audiences, and inclusive content.
Assess content difficulty by language proficiency level, calibrate reading level for multilingual learners, adapt content for language proficiency, and design language scaffolding. Use when creating content for non-native speakers. Activates on "language level", "proficiency calibration", "readability", or "language learners".
Translation and localization guidelines for KoboToolbox content from English to Arabic. Use when translating KoboToolbox materials including: (1) Academy courses and educational content, (2) User interface text and documentation, (3) Support articles, (4) Marketing materials, (5) Form building terminology, or (6) XLSForm technical terms. Covers tone, pronouns (tú/usted, tu/vous), gender-inclusive language, and official translations for brand terms and UI elements.
README.mdを日本語で新規作成/更新するためのスキル。開発者向け・利用者向けの両方を含む構成、目次（大項目のみ）、必要情報の確認、docs/参照による要点抽出に使う。新規README作成、既存READMEの再整理、READMEの不足情報洗い出し時に使用。
Prepare for English conversation lessons by creating a dated markdown file with greeting examples in English and Japanese. Use when the user asks to prepare for a lesson, set up for English conversation, or create lesson notes before their English class.
Optimize user CLAUDE.md files by applying progressive disclosure principles. This skill should be used when users want to reduce CLAUDE.md bloat, move detailed content to references, extract reusable patterns into skills, or improve context efficiency. Triggers include "optimize CLAUDE.md", "reduce CLAUDE.md size", "apply progressive disclosure", or complaints about CLAUDE.md being too long.
Generates comprehensive documentation with high output volume
Convert docstrings to NumPy/Sphinx style with proper Parameters, Returns, and Examples sections. This skill should be used when improving documentation quality across Python modules.
This skill should be used when creating a new .md file, completing an analysis or audit, deciding whether to archive or delete docs, or when uncertain if something should be documented. Covers document types, naming conventions, the "Link Test", and when to extract patterns to skills.
Centralizes Diataxis documentation framework guidance so Claude can write, review, or improve documentation following the four distinct types (tutorials, how-to guides, reference, explanation).
Multi-stage deep investigation and reasoning for complex problems using PAL MCP. Use for architecture decisions, complex analysis, performance challenges, or when you need thorough reasoning. Triggers on complex problems requiring deep thought, hypothesis testing, or expert analysis.
Specialist in generating beautiful, interactive HTML reports of the knowledge model.
