CSS Reference Guide

website·Indexed 29 days ago

https://you25800.github.io/

A comprehensive reference for CSS properties, functions, pseudo-elements, and pseudo-classes. Includes detailed documentation on layout attributes like grid-template-areas and align-items, functions such as linear-gradient(), scale(), and hsl(), and selectors like :root, :checked, and ::before.

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What's inside CSS

  1. Overview of common go-validator rules

    The go-playground/validator library provides a wide range of tags to validate Go struct fields. Common rules include:

    • required: Field must be present.
    • min/max: Minimum/maximum length or value.
    • email: Must be a valid email address.
    • url: Must be a valid URL.
    • regexp: Must match a specific regular expression.
    • length: Length must be within a specific range.
    • eq/ne: Must equal / must not equal a specific value.
    • lt/lte: Must be less than / less than or equal to a value.
    • gt/gte: Must be greater than / greater than or equal to a value.
    • uuid: Must be a valid UUID.
    • ip/ipv4/ipv6: Must be a valid IP address (generic, v4, or v6).
  2. Overview of AI-driven Collaborative Academic Writing Platform

    The platform is an AI-powered online environment designed for students and researchers to manage the entire academic writing process from topic selection to submission. Key value propositions include full-lifecycle AI assistance (20+ tools), seamless multi-user collaboration (real-time editing and version control), professional quality assurance (plagiarism, grammar, and logic checks), and specialized academic support (journal recommendations and literature management).
  3. Overview of the stringer tool

    The stringer tool automates the creation of methods that satisfy the fmt.Stringer interface for signed or unsigned integer types. When provided with an integer type T that has defined constants, stringer generates a self-contained Go source file in the same package and directory. It is highly effective for constants created using iota (consecutive values).
  4. Overview of the Claude Code Documentation System

    The Claude Code documentation is organized into five complementary resources designed to take a developer from zero to advanced proficiency:

    1. Quick Start Tutorial (快速上手教程.md): A 2-hour introductory guide for beginners covering core concepts, basic syntax (like @-references), and initial practical exercises.
    2. Prompt Template Library (ClaudeCode.md): A collection of 34 templates across 11 development stages for atomic tasks such as code analysis and variable renaming.
    3. Practical Guide (实战指南.md): A scenario-driven manual providing full end-to-end workflows for common tasks like feature development, bug fixes, and documentation generation.
    4. Advanced Techniques (进阶技巧.md): Guidance on complex multi-module tasks, team collaboration, context management, and performance optimization.
    5. Project Specification (CLAUDE.md): A project-specific knowledge base containing tech stacks, directory structures, and coding standards for the AI to reference.
  5. Overview of the AI-Driven Collaborative Academic Writing Platform

    The platform is designed to support the entire academic writing lifecycle from topic selection to submission. It integrates AI-powered assistance with multi-user collaboration to reduce writing barriers, increase efficiency by an estimated 50%, and ensure high quality through automated detection and optimization tools.
  6. Overview of the Eight Thinking Maps

    Thinking Maps (also known as the Eight Thinking Map methods) are visual thinking tools designed to help users construct knowledge, expand thinking, and improve efficiency in work and learning. They are distinct from traditional Mind Maps in their form, usage, and application. These maps can be used in presentations, work summaries, decision-making, and education to train logical structure.
  7. Generate a comprehensive academic paper outline with AI

    The AI outline generation feature produces a full paper structure including title, abstract points, keyword suggestions, introduction structure, literature review, methodology, experimental design, results, discussion, conclusion, and reference suggestions. Each section includes a title, 3-5 main content points, suggested word counts, and writing advice. The system implements this by utilizing template libraries, adjusting for discipline-specific characteristics, and referencing high-citation papers.
    论文大纲:基于多模态大模型的细粒度情感分析研究
    
    1. 标题(Title)
       基于多模态大模型的细粒度情感分析研究
    
    2. 摘要(Abstract)(300 字)
       要点:研究背景和意义, 提出的方法, 实验结果, 主要贡献
    
    3. 关键词(Keywords)
       建议:多模态学习、大语言模型、情感分析、细粒度分类、深度学习
    
    4. 引言(Introduction)(800-1000 字)
       4.1 研究背景
       4.2 研究动机
       4.3 主要贡献
       4.4 论文结构
    
    ... [and so on for Methodology, Experiments, Discussion, Conclusion]
  8. Use CLAUDE.md to provide project context to Claude Code

    The CLAUDE.md file acts as a project knowledge base. It should contain the project overview (tech stack, directory structure), common commands, architecture descriptions, and formatting standards. To ensure the AI follows project-specific norms at the start of a session, reference this file explicitly.
    @CLAUDE.md 请阅读项目规范
    
    然后执行: [具体任务]
  9. List indexes using the pg_indexes system view

    The pg_indexes system view provides detailed information about every index in the database. It contains the following columns:

    • schemaname: Name of the schema containing the table and index.
    • tablename: Name of the table the index belongs to.
    • indexname: Name of the index.
    • tablespace: Name of the tablespace containing the index.
    • indexdef: The full CREATE INDEX statement used to define the index.

    To list indexes for a specific table, filter by the tablename column.

    SELECT
        indexname,
        indexdef
    FROM
        pg_indexes
    WHERE
        tablename = 'customer';
  10. Implement data validation using PostgreSQL CHECK constraints

    PostgreSQL CHECK constraints ensure that data written to a table meets specific criteria. If a boolean expression in the constraint evaluates to false, PostgreSQL rejects the data insertion or update.

    Constraints can be applied in two scopes:

    1. Column-level: The expression can only reference the specific column being constrained.
    2. Table-level: The expression can reference any column within the table, allowing for cross-column validation.