learning & documentation Claude 스킬을 발견하세요. 86개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Validates and improves software requirements using INVEST criteria and MoSCoW prioritization to ensure clear, testable, and high-quality specifications.
Designs high-quality developer portals and comprehensive API documentation to improve developer experience.
Navigates software engineering career levels and competency frameworks to help developers plan promotions and professional growth.
Generates precise UML diagrams using PlantUML and Mermaid notation to document software architecture and logic.
Generates and manages standardized software architecture diagrams using the hierarchical C4 model abstraction levels.
Provides a structured 4-step methodology for tackling system design interviews and architectural whiteboard sessions.
Accesses expert .NET architectural patterns and best practices from Milan Jovanovic's technical blog for building robust enterprise applications.
Standardizes and automates the creation of functional requirements using the agile Use Case 2.0 methodology.
Generates comprehensive developer onboarding guides and learning paths to accelerate team productivity and standardize codebase orientation.
Generates visual structural diagrams of AI agent systems to illustrate levels, relationships, and delegation paths.
Generates standardized Architecture Decision Records (ADRs) to document significant technical choices and their underlying rationale.
Provides rules and best practices for writing clear, valuable, and standardized code comments.
Systematizes topic research through complexity-based assessment and automated documentation generation.
Generates and updates standardized JSDoc documentation and TypeScript examples for the DuploJS utility ecosystem.
Provides a structured process and best practices for creating new Claude skills.
Generates structured, project-specific rules in a `lifeguard.yaml` file to guide and standardize code reviews.
Performs in-depth codebase research and documents findings in persistent, structured markdown files.
Applies semantic line breaks to prose, such as comments and commit messages, to improve readability and maintainability.
Demonstrates advanced resource management by progressively loading scripts, documentation, and data files from a skill directory as needed.
Generates structured, high-fidelity markdown documentation from analyzed media content while preserving original context and timestamps.
Guides the creation of new Claude Code Skills following best practices for structure, content, and discovery.
Ensures accurate implementations by strategically performing web research on evolving APIs, security standards, and documentation.
Automates the creation of professional R and Python package release announcements for Tidyverse and Shiny blogs.
Refreshes and optimizes repository documentation using language-aware research and industry-standard structural patterns.
Constructs virtual spatial mnemonic structures to organize complex information and enhance knowledge recall through architectural mapping.
Indexes and retrieves information across memory palace networks using spatial, semantic, and sensory search modalities.
Synchronizes codebase implementation with documentation using GenAI to detect architectural drift and version mismatches.
Generates high-quality, discoverable software documentation using the Diataxis framework and professional technical writing principles.
Ensures documentation accuracy by validating file paths, hyperlinks, line numbers, and code examples across your project.
Identifies and flags outdated documentation, stale version references, and lingering TODOs within your project codebase.
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