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Agent Skill · 研究检索

copilot-agent-patterns(GitHub Copilot Agent 模式)

copilot-agent-patterns 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

copilot-agent-patterns 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 66,724。

总安装 259周安装 11GitHub Stars 6下载 91核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:copilot-agent-patterns(GitHub Copilot Agent 模式)
来源仓库:https://github.com/hack23/homepage
仓库路径:skills/copilot-agent-patterns
安装命令:
npx skills add https://github.com/hack23/homepage --skill copilot-agent-patterns
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/hack23/homepage --skill copilot-agent-patterns

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

Copilot Agent 模式技能用于信息检索与筛选,支持多宿主环境快速定位相关内容。适用于需要根据关键词或任务线索查找技术方案与最佳实践的场景。通过 npx skills add 命令安装,需结合原始仓库文档验证具体用法。使用前应确认权限范围和操作类型,避免触发联网或文件写入。

建议在实际项目中测试输出结果,确保信息准确且符合实际需求。

来源仓库内路径:skills/copilot-agent-patterns

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/hack23/homepage --skill copilot-agent-patterns;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

copilot-agent-patterns 怎么安装?

在终端执行 npx skills add https://github.com/hack23/homepage --skill copilot-agent-patterns。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

copilot-agent-patterns 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

copilot-agent-patterns 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/hack23/homepage --skill copilot-agent-patterns 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

copilot-agent-patterns 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

copilot-agent-patterns 用的人多吗?

公开数据是累计安装 259 次,近一周安装 11 次,下载 91 次,GitHub 6 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

copilot-agent-patterns 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
copilot-agent-patterns

GitHub Copilot Agent 模式 · 本页

2596执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Copilot Agent Patterns Skill

Purpose

Provides proven patterns for designing, implementing, and orchestrating GitHub Copilot custom agents that work effectively individually and collaboratively.

Rules

Agent Design Patterns

Specialist Agent Pattern:

---
name: ui-enhancement-specialist
description: Expert in HTML/CSS, accessibility, responsive design
tools: ["view", "edit", "create", "shell", "search_code"]
---

# UI Enhancement Specialist

## Core Expertise
- HTML5 semantic markup
- CSS best practices
- WCAG 2.1 AA accessibility
- Responsive design

## Scope
- MUST focus on UI/UX improvements
- MUST NOT handle backend logic
- MUST delegate security to security-specialist

## Skills Integration
- `.github/skills/quality/html-css-best-practices/`
- `.github/skills/quality/accessibility-wcag/`

Orchestrator Agent Pattern:

---
name: task-agent
description: Orchestration and task delegation specialist
tools: ["*"]
---

# Task Agent

## Core Responsibilities
1. Analyze repository comprehensively
2. Create GitHub issues for improvements
3. Assign issues to appropriate specialists
4. Track progress and quality

## Delegation Strategy
- UI/UX issues → ui-enhancement-specialist
- Security issues → security-architect
- Documentation → documentation-specialist

Discordian Trinity Pattern:

Visionary (Product Owner):
- Challenges assumptions
- Defines "what" and "why"
- Creates product vision

Architect (System Designer):
- Analyzes patterns
- Defines "how" architecturally
- Creates system designs

Developer (Implementer):
- Writes code
- Implements designs
- Tests and debugs

Agent Configuration Standards

YAML Frontmatter:

---
name: agent-name               # Lowercase, hyphen-separated
description: Brief expertise   # Max 200 characters
tools: ["tool1", "tool2"]     # Minimal set (or "*" for meta agents)
---

Required Sections:

## 📋 Required Configuration Files
[Instructions to read setup files]

## 🎯 Skills Integration
[List of relevant skills from .github/skills/]

## 🔐 ISMS Framework Compliance
[Security and compliance requirements]

## ⚖️ Rules and Enforcement
[MUST/MUST NOT rules]

## Examples
[Concrete examples of agent work]

## Related Policies
[Links to ISMS and skills]

Collaboration Patterns

Sequential Workflow:

1. task-agent analyzes repository
2. task-agent creates issues
3. task-agent assigns to specialists:
   - Issue #1 → ui-enhancement-specialist
   - Issue #2 → security-architect
   - Issue #3 → documentation-specialist
4. Specialists complete work independently
5. task-agent reviews and validates

Parallel Workflow:

Multiple specialists work simultaneously on different issues:
- ui-enhancement-specialist: Accessibility improvements
- security-architect: Security hardening
- documentation-specialist: API documentation

No coordination needed (different scopes)

Stacked PR Workflow:

1. Foundation PR (simon-moon creates architecture)
2. Implementation PR (george-dorn builds on #1)
3. UI Polish PR (ui-enhancement-specialist builds on #2)
4. Documentation PR (hagbard-celine documents all)

Each PR uses base_ref to stack on previous work

Agent Communication

Issue Assignment:

## Task for @ui-enhancement-specialist

**Context**: Homepage accessibility audit failed

**Requirements**:
- Fix WCAG 2.1 AA violations
- Improve keyboard navigation
- Add ARIA labels to forms
- Test with screen readers

**Skills to Use**:
- `.github/skills/quality/accessibility-wcag/`
- `.github/skills/quality/html-css-best-practices/`

**Acceptance Criteria**:
- [ ] Lighthouse accessibility score = 100
- [ ] All ARIA labels present
- [ ] Keyboard navigation functional
- [ ] Screen reader tested

PR Review Comments:

@george-dorn Great implementation! A couple of security concerns:

1. **Authentication**: Line 45 needs rate limiting. See
   `.github/skills/security/access-control/` for pattern.

2. **Input Validation**: Line 78 should sanitize user input.
   Reference `.github/skills/security/secure-development/`.

Otherwise LGTM! 🚀

Agent Boundaries

MUST Respect Boundaries:

UI Specialist:
✅ Can: HTML, CSS, accessibility, responsive design
❌ Cannot: Backend logic, database, API design

Security Architect:
✅ Can: Security design, threat modeling, controls
❌ Cannot: Implement all code (delegates to developers)

Business Development:
✅ Can: Strategy, positioning, sales enablement
❌ Cannot: Technical implementation, code changes

Task Agent:
✅ Can: Orchestrate, delegate, create issues
❌ Cannot: Implement all specialized work itself

Autonomy Guidance ("Ask Less, Complete More")

Agents SHOULD:

1. Default to Best Practices
   - Use skills library guidelines
   - Follow ISMS policies automatically
   - Apply established patterns

2. Make Informed Decisions
   - Review relevant skills first
   - Check existing codebase patterns
   - Only ask when genuinely ambiguous

3. Fix Issues Proactively
   - Security issues: fix without asking
   - Accessibility problems: correct immediately
   - Broken links: update automatically

4. Complete Tasks Fully
   - Update related files
   - Verify across all language versions
   - Test edge cases
   - Document changes

5. Validate Before Submitting
   - Run tests
   - Check quality metrics
   - Verify compliance

Only Ask When:

- Requirements genuinely ambiguous
- Major architectural decision required
- Breaking change affects multiple systems
- Policy interpretation unclear
- Business/product decision needed

Agent Metrics

Quality Metrics:

- Issues created (quality over quantity)
- Issues successfully completed
- Code quality improvements
- Security vulnerabilities found/fixed
- Accessibility improvements
- Documentation completeness

Efficiency Metrics:

- Time to first response
- Time to issue resolution
- Number of review iterations
- Test coverage improvements
- CI/CD success rate

Best Practices

DO:

✅ Focus on your expertise area
✅ Reference skills library constantly
✅ Delegate outside your scope
✅ Provide concrete examples
✅ Document your decisions
✅ Test your changes thoroughly
✅ Follow ISMS policies
✅ Complete work autonomously when possible

DON'T:

❌ Work outside your expertise
❌ Duplicate work of other agents
❌ Skip testing or validation
❌ Ignore security policies
❌ Create unnecessary documentation files
❌ Ask for confirmation on standard patterns
❌ Make changes without verification

Examples

Agent Delegation Decision Tree

Issue Type: "Improve accessibility"
↓
Is this UI/UX? → YES
↓
Assign to: ui-enhancement-specialist
Skills: accessibility-wcag, html-css-best-practices

Issue Type: "Add authentication"
↓
Is this security? → YES
↓
Assign to: security-architect
Skills: access-control, secure-development, cryptography

Issue Type: "Optimize database queries"
↓
Is this performance? → YES
↓
Is there a specialist? → NO
↓
Assign to: george-dorn (developer)
Skills: testing-strategy, code-review-practices

Multi-Agent Collaboration Example

# Project: Add User Dashboard

## Phase 1: Architecture (simon-moon)
- Create DATA_MODEL.md
- Create ARCHITECTURE.md
- Design API contracts
- Skills: c4-modeling, security-architecture

## Phase 2: Backend (george-dorn)
- Implement API endpoints
- Add authentication
- Write unit tests
- Skills: secure-development, testing-strategy

## Phase 3: Frontend (ui-enhancement-specialist)
- Build responsive UI
- Ensure accessibility
- Add animations
- Skills: html-css-best-practices, accessibility-wcag

## Phase 4: Documentation (hagbard-celine)
- User guide
- API documentation
- Release notes
- Skills: product-documentation, api-documentation

## Phase 5: Business Enablement (marketing-specialist)
- Feature announcement
- SEO optimization
- Social media content
- Skills: content-marketing, seo-optimization

Related Policies

Related Documentation

Resources

平台分布

Codex

34.83%
按下载量换算32

Claude

32.4%
按下载量换算29

Cursor

19.67%
按下载量换算18

Gemini CLI

10.94%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/hack23/homepage --skill copilot-agent-patterns 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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