java-docs

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill java-docs
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summary

Javadoc best practices for documenting Java types, methods, and members.

  • Public and protected members require Javadoc comments; package-private and private members are encouraged, especially for complex code
  • Use standard tags: @param for parameters, @return for return values, @throws for exceptions, @see for cross-references, and @since for version tracking
  • First sentence serves as summary description and should end with a period; parameter descriptions start lowercase without period
skill.md

Java Documentation (Javadoc) Best Practices

  • Public and protected members should be documented with Javadoc comments.
  • It is encouraged to document package-private and private members as well, especially if they are complex or not self-explanatory.
  • The first sentence of the Javadoc comment is the summary description. It should be a concise overview of what the method does and end with a period.
  • Use @param for method parameters. The description starts with a lowercase letter and does not end with a period.
  • Use @return for method return values.
  • Use @throws or @exception to document exceptions thrown by methods.
  • Use @see for references to other types or members.
  • Use {@inheritDoc} to inherit documentation from base classes or interfaces.
    • Unless there is major behavior change, in which case you should document the differences.
  • Use @param <T> for type parameters in generic types or methods.
  • Use {@code} for inline code snippets.
  • Use <pre>{@code ... }</pre> for code blocks.
  • Use @since to indicate when the feature was introduced (e.g., version number).
  • Use @version to specify the version of the member.
  • Use @author to specify the author of the code.
  • Use @deprecated to mark a member as deprecated and provide an alternative.
how to use java-docs

How to use java-docs on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add java-docs
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/github/awesome-copilot --skill java-docs

The skills CLI fetches java-docs from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/java-docs

Reload or restart Cursor to activate java-docs. Access the skill through slash commands (e.g., /java-docs) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.826 reviews
  • Soo Smith· Dec 28, 2024

    Useful defaults in java-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Shikha Mishra· Dec 20, 2024

    Useful defaults in java-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aditi Liu· Nov 19, 2024

    java-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Nov 11, 2024

    java-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kabir Johnson· Nov 11, 2024

    Solid pick for teams standardizing on skills: java-docs is focused, and the summary matches what you get after install.

  • Aditi Taylor· Oct 10, 2024

    Keeps context tight: java-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Oct 2, 2024

    Keeps context tight: java-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aditi Sethi· Oct 2, 2024

    java-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Oshnikdeep· Sep 21, 2024

    We added java-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Neel Huang· Sep 21, 2024

    java-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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