发现learning & documentation类别的 Claude 技能。浏览 92 个技能,找到适合您 AI 工作流程的完美功能。
Standardizes and documents code patterns across three tiers to minimize token usage and improve development consistency.
Maintains persistent project context and learns from user feedback to eliminate repetitive mistakes and optimize token usage.
Generates standardized architectural compliance contracts and audit-ready documentation from existing ARCHITECTURE.md files.
Connects Claude Code to the Canvas LMS API to manage courses, track assignments, and monitor academic progress.
Reviews and optimizes documentation structure to ensure clarity and consistency across project files.
Synchronizes development insights and task contexts between AI semantic memory and structured local knowledge bases.
Generates, updates, and queries professional software architecture documents based on standardized, enterprise-grade templates.
Automates the process of finding and adding authoritative source links to facts and references within markdown documents.
Provides specialized assistance for the IT8103 Cyber Security course by integrating with Canvas to help students structure system critiques and security solution proposals.
Streamlines technology management coursework by integrating Canvas data and providing strategic guidance for IT8102 project plans.
Streamlines assignment completion and design solution reporting for students enrolled in the IT8106 Ubiquitous Computing course.
Streamlines academic research and assignment completion for the IT8101 Research Methods course by integrating Canvas LMS data with expert methodology guidance.
Translates cryptic error messages into clear, actionable debugging guides and prevention strategies.
Generates clickable, platform-specific web links for files and folders within Git repositories to streamline documentation workflows.
Generates high-conversion, product-ready README documentation based on a rigorous 9-step engineering standard.
Automatically finds and inserts authoritative source hyperlinks for facts, tools, and research in Markdown documents.
Implements idiomatic Rust error conversion patterns and From trait implementations to simplify complex error handling logic.
Standardizes Python documentation by converting existing comments into structured NumPy and Sphinx-style docstrings with comprehensive parameter, return, and example sections.
Standardizes software documentation using industry-proven frameworks like Diátaxis to ensure technical clarity, completeness, and maintainability.
Enforces high-quality, self-documenting code by prioritizing intent-based comments over redundant descriptions of operations.
Maintains architectural consistency by managing framework selections, library dependencies, and tool configurations according to established project standards.
Assists in the creation, improvement, and evaluation of Claude Agent Skills by enforcing official best practices, naming conventions, and discovery patterns.
Locates and filters targeted recruitment resources from a comprehensive internal knowledge base using intelligent keyword matching and category analysis.
Provides evidence-based study strategies, time management techniques, and test preparation guidance to enhance learning effectiveness.
Enables the creation of platform-agnostic AI skills using a specialized template engine for multi-platform delivery.
Automates the discovery and analysis of technical documentation using the llms.txt standard to provide context-aware developer resources.
Guides the selection and implementation of optimal data structures for high-performance software development.
Analyzes development sessions to transform mistakes, successes, and patterns into actionable rules and knowledge graph entries for continuous improvement.
Generates standardized internal company updates, status reports, and newsletters using structured formats and organizational guidelines.
Guides the creation of high-performance system prompts using Anthropic's context engineering principles and structured formatting.
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