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研究检索external-servicegithub未标认证来源可访问clear审计提醒

github-issue-trackerGitHub issue tracker 搜索

Agent Skill

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

总安装

419

周安装

18

GitHub Stars

8

下载量

147
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:github-issue-tracker(GitHub issue tracker 搜索)
来源仓库:https://github.com/vamseeachanta/workspace-hub
仓库路径:skills/github-issue-tracker
安装命令:
npx skills add https://github.com/vamseeachanta/workspace-hub --skill github-issue-tracker
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/vamseeachanta/workspace-hub --skill github-issue-tracker

简介

github-issue-tracker 用于围绕 GitHub 仓库、Issue、Pull Request 和分支提供辅助能力。

  • 适合查询项目状态、整理变更或检查协作事项,支持生成可执行下一步。
  • 使用时需区分只读查询和写入操作,避免误改数据。
  • 涉及创建 PR 或访问私有仓库时应确认 token 权限和仓库范围。
  • 当前暂无更多细节,建议参考来源仓库了解具体实现方式。

SKILL.md

GitHub Issue Tracker Skill

Overview

Intelligent issue management with swarm coordination. This skill handles automated issue creation, progress tracking, multi-agent collaboration on complex issues, project milestone coordination, and cross-repository issue synchronization.

Quick Start

# Create an issue
gh issue create --title "Bug: Login fails" --body "Steps to reproduce..." --label "bug"

# List open issues
gh issue list --state open

# View issue details
gh issue view 54

# Add comment to issue
gh issue comment 54 --body "Progress update..."

# Close issue
gh issue close 54 --reason completed

When to Use

  • Creating issues with smart templates
  • Tracking issue progress with swarm coordination
  • Multi-agent collaboration on complex issues
  • Project milestone coordination
  • Cross-repository issue synchronization
  • Automated issue labeling and organization

Core Capabilities

CapabilityDescription
Smart templatesAutomated issue creation with templates
Progress trackingSwarm-coordinated updates
Multi-agent collaborationComplex issue resolution
Milestone coordinationProject workflow integration
Cross-repo syncMonorepo issue management

Usage Examples

1. Create Issue with Swarm Tracking

// Initialize issue management swarm

// Set up automated tracking
    task: "Monitor and coordinate issue progress with automated updates",
    strategy: "adaptive",
    priority: "medium"
})

2. Create Comprehensive Issue with gh CLI

gh issue create \
  --repo owner/repo \
  --title "Integration Review: claude-code-flow and ruv-swarm" \
  --body "## Overview
Comprehensive review and integration between packages.

## Objectives
- [ ] Verify dependencies and imports
- [ ] Ensure MCP tools integration
- [ ] Check hook system integration
- [ ] Validate memory systems alignment

## Swarm Coordination
This issue will be managed by coordinated swarm agents." \
  --label "integration,review,enhancement" \
  --assignee username

3. Automated Progress Updates

// Update issue with progress from swarm memory
    action: "retrieve",
    key: "issue/54/progress"
})

// Store progress
    action: "store",
    key: "issue/54/latest_update",
    value: JSON.stringify({
        timestamp: Date.now(),
        progress: "89%",
        status: "near_completion"
    })
})
# Add progress comment
gh issue comment 54 --body "## Progress Update

### Completed Tasks
- Architecture review completed
- Dependency analysis finished
- Integration testing verified

### Current Status
- Documentation review in progress
- Integration score: 89% (Excellent)

### Next Steps
- Final validation and merge preparation"

4. Search and Coordinate Related Issues

# Search related issues
gh issue list --repo owner/repo --label "integration" --state open --json number,title,labels

# Update issue with milestone
gh issue edit 54 --milestone "v1.0.0"

# Add labels
gh issue edit 54 --add-label "in-progress"

# Transfer issue
gh issue transfer 54 owner/new-repo

5. Batch Issue Operations

[Single Message - Issue Lifecycle Management]:
    // Initialize issue coordination swarm

    // Create multiple related issues
    Bash(`gh issue create --repo owner/repo \
      --title "Feature: Advanced GitHub Integration" \
      --body "Implement comprehensive GitHub workflow automation..." \
      --label "feature,github,high-priority"`)

    Bash(`gh issue create --repo owner/repo \
      --title "Bug: PR merge conflicts" \
      --body "Resolve merge conflicts in integration branch..." \
      --label "bug,integration,urgent"`)

    Bash(`gh issue create --repo owner/repo \
      --title "Documentation: Update integration guides" \
      --body "Update all documentation for new workflows..." \
      --label "documentation,integration"`)

    // Track in todos
    TodoWrite({ todos: [
      { id: "github-feature", content: "Implement GitHub integration", status: "pending", priority: "high" },
      { id: "merge-conflicts", content: "Resolve PR conflicts", status: "pending", priority: "critical" },
      { id: "docs-update", content: "Update documentation", status: "pending", priority: "medium" }
    ]})

    // Store coordination state
        action: "store",
        key: "project/github_integration/issues",
        value: JSON.stringify({ created: Date.now(), total_issues: 3, status: "initialized" })
    })

Smart Issue Templates

Integration Issue Template

## Integration Task

### Overview
[Brief description of integration requirements]

### Objectives
- [ ] Component A integration
- [ ] Component B validation
- [ ] Testing and verification
- [ ] Documentation updates

### Integration Areas

#### Dependencies
- [ ] Package.json updates
- [ ] Version compatibility
- [ ] Import statements

#### Functionality
- [ ] Core feature integration
- [ ] API compatibility
- [ ] Performance validation

#### Testing
- [ ] Unit tests
- [ ] Integration tests
- [ ] End-to-end validation

### Swarm Coordination
- **Coordinator**: Overall progress tracking
- **Analyst**: Technical validation
- **Tester**: Quality assurance
- **Documenter**: Documentation updates

Bug Report Template

## Bug Report

### Problem Description
[Clear description of the issue]

### Expected Behavior
[What should happen]

### Actual Behavior
[What actually happens]

### Reproduction Steps
1. [Step 1]
2. [Step 2]
3. [Step 3]

### Environment
- Package: [package name and version]
- Node.js: [version]
- OS: [operating system]

### Investigation Plan
- [ ] Root cause analysis
- [ ] Fix implementation
- [ ] Testing and validation
- [ ] Regression testing

### Swarm Assignment
- **Debugger**: Issue investigation
- **Coder**: Fix implementation
- **Tester**: Validation and testing

MCP Tool Integration

Swarm Coordination

    topology: "star",  // Central coordinator with peripheral agents
    maxAgents: 3,
    strategy: "adaptive"
})

Memory Management

// Store issue state
    action: "store",
    key: "issue/54/state",
    namespace: "issues",
    value: JSON.stringify({
        status: "in-progress",
        assignees: ["user1"],
        labels: ["bug", "high-priority"],
        lastUpdate: Date.now()
    })
})

// Search issues in memory
    pattern: "issue/*",
    namespace: "issues",
    limit: 20
})

Best Practices

1. Swarm-Coordinated Issue Management

  • Always initialize swarm for complex issues
  • Assign specialized agents based on issue type
  • Use memory for progress coordination

2. Automated Progress Tracking

  • Regular automated updates with swarm coordination
  • Progress metrics and completion tracking
  • Cross-issue dependency management

3. Smart Labeling and Organization

  • Consistent labeling strategy across repositories
  • Priority-based issue sorting and assignment
  • Milestone integration for project coordination

4. Batch Issue Operations

  • Create multiple related issues simultaneously
  • Bulk updates for project-wide changes
  • Coordinated cross-repository issue management

Integration with Other Skills

SkillIntegration
github-pr-managerLink issues to pull requests
github-release-managerCoordinate release issues
sparc-workflowComplex project coordination
agent-orchestrationMulti-agent issue resolution

Metrics and Analytics

Automatic tracking of:

  • Issue creation and resolution times
  • Agent productivity metrics
  • Project milestone progress
  • Cross-repository coordination efficiency

Reporting features:

  • Weekly progress summaries
  • Agent performance analytics
  • Project health metrics
  • Integration success rates

Version History

  • 1.0.0 (2025-01-02): Initial release - converted from issue-tracker agent

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.09%
按下载量换算41

windsurf

26.24%
按下载量换算39

trae

17.94%
按下载量换算26

OpenCode

13.39%
按下载量换算20

Cursor

9.17%
按下载量换算13

Codex

3.29%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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 warning/failed 结果,不能写成本站确认安全。

来源信息

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