发现learning & documentation类别的 Claude 技能。浏览 86 个技能,找到适合您 AI 工作流程的完美功能。
Optimizes documentation, skills, and prompt structures to enhance AI assistant performance and token efficiency.
Validates the structural integrity and formatting of Japanese language learning cards to ensure consistent data quality.
Standardizes Python research project documentation to ensure reproducibility and clarity for contributors.
Translates informal user stories and requirements into precise, testable EARS format for clear and unambiguous system specifications.
Enforces Test-Driven Development and systematic planning through interactive MCQs and persistent project state tracking.
Queries built-in macOS dictionaries to provide instant definitions, readings, and translations for Japanese, Chinese, and English terms.
Evaluates the linguistic and pragmatic depth of Japanese vocabulary cards to identify necessary learning extensions.
Automates the documentation and integration of installed marketplace plugins into your Claude Code environment.
Queries native macOS dictionaries to provide precise Japanese, Chinese, and English definitions and translations.
Builds a standardized, tabbed onboarding and documentation center directly within dashboard applications.
Guides the development of standardized AI agent skills following the open agent-skills specification.
Implements a Test-Driven Development (TDD) workflow for creating, testing, and optimizing reusable AI agent skills.
Exports Claude Code Learning Memory System (ALM) playbooks into clean, shareable Markdown files for documentation and version control.
Retrieves real-time documentation for project-specific technologies using Context7 MCP.
Streamlines the systematic research process, from database searching and screening to thematic synthesis and citation management.
Extracts and analyzes YouTube video transcripts to provide technical insights and relate video content to your codebase.
Facilitates the creation, development, and packaging of specialized Claude Code skills through structured workflows and validation.
Analyzes YouTube video transcripts to extract technical insights and relate them to your codebase.
Transforms English text files into structured, sentence-aligned English-Chinese bilingual JSON arrays for localization and education.
Maps and explains the codebase structure, module responsibilities, and technology stack of the LomoMarketplace monorepo.
Standardizes and audits help hub implementations to ensure UI consistency and functional deep linking.
Guides the architecture and scaffolding of high-quality agent skills following the open agent-skills standard.
Generates standardized AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational guidance.
Guides developers through the process of building, structuring, and validating specialized agent skills using the open agent-skills standard.
Generates structured AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational guidance.
Standardizes the creation of AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational guidance.
Standardizes and automates the creation and maintenance of project terminology within the .workaholic/terms directory.
Simplifies MoonBit development by providing structured access to language specifications, standard libraries, and implementation patterns.
Translates English markdown files into multiple languages while preserving technical formatting and developer-specific terminology.
Automates the creation and maintenance of viewpoint-based architecture specifications and technical user guides.
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