learning & documentation向けのClaudeスキルを発見してください。86個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Transforms English text files into structured, sentence-aligned English-Chinese bilingual JSON arrays for localization and education.
Analyzes YouTube video transcripts to extract technical insights and relate them to your codebase.
Facilitates the creation, development, and packaging of specialized Claude Code skills through structured workflows and validation.
Extracts and analyzes YouTube video transcripts to provide technical insights and relate video content to your codebase.
Queries native macOS dictionaries to provide precise Japanese, Chinese, and English definitions and translations.
Evaluates the linguistic and pragmatic depth of Japanese vocabulary cards to identify necessary learning extensions.
Queries built-in macOS dictionaries to provide instant definitions, readings, and translations for Japanese, Chinese, and English terms.
Translates informal user stories and requirements into precise, testable EARS format for clear and unambiguous system specifications.
Standardizes Python research project documentation to ensure reproducibility and clarity for contributors.
Validates the structural integrity and formatting of Japanese language learning cards to ensure consistent data quality.
Provides instant access to MATS program policies, procedures, and logistical information for scholars.
Standardizes the creation and verification of AI skills using Test-Driven Development principles to ensure reliable agent compliance.
Streamlines the systematic research process, from database searching and screening to thematic synthesis and citation management.
Initializes a comprehensive documentation framework and project lifecycle structure for new or existing repositories.
Standardizes the documentation of significant technical decisions by capturing context, rationale, and long-term consequences.
Provides a standardized reference and template for developing custom Claude Code skills and plugin architectures.
Intelligently discovers, loads, and caches relevant technical documentation in real-time based on your project context and intent.
Simplifies the creation of high-performance documentation sites and knowledge bases using Nextra and Next.js.
Guides the creation, improvement, and validation of high-quality Claude skills using standardized workflows and best practices.
Creates and maintains high-quality project documentation using agile principles, inclusive language, and global accessibility standards.
Extracts and codifies reusable knowledge from development sessions into actionable Claude skills.
Captures solved problems as categorized, searchable documentation with validated YAML frontmatter for institutional knowledge building.
Creates personalized coding tutorials and interactive quizzes using your actual codebase to accelerate your journey toward senior engineering mastery.
Configures repository instruction files for Tauri v2 and React-based desktop architectures to guide AI coding agents with security guardrails.
Generates concise, evidence-based medical treatment plans in LaTeX and PDF formats across all clinical specialties.
Extracts technology-free business domain models and logic from codebases for non-technical stakeholders.
Demonstrates the simplest possible structure for creating custom Claude Code skills.
Enhances user interactions by automatically responding to common greetings with a warm welcome and a demonstration of skill-based triggers.
Optimizes context window usage by implementing a progressive disclosure pattern for loading detailed documentation only when required.
Generates and manages Architecture Decision Records (ADRs) to track key design choices within a standardized documentation workflow.
Scroll for more results...