技能 github-project-management
🎯

github-project-management

低風險 ⚙️ 外部命令🌐 網路存取

Automate GitHub project management with AI swarm coordination

也可從以下取得: Claude Code

Managing GitHub projects manually is time-consuming and error-prone. This skill automates issue tracking, project board synchronization, and sprint planning using AI swarm coordination for efficient project delivery.

支援: Claude Code(CC)
⚠️ 68
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下載技能 ZIP

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在 Claude 中上傳

前往 設定 → 功能 → 技能 → 上傳技能

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開啟並開始使用

測試它

正在使用「github-project-management」。 Create a coordinated issue for implementing user authentication

預期結果:

  • Issue #123 created: Feature: Implement OAuth2 Authentication
  • Added labels: enhancement, authentication, high-priority
  • Assigned to: @developer-team
  • Swarm initialized with 3 agents: architect, coder, tester
  • Added to project board: Development Sprint 15
  • Automated progress tracking enabled

正在使用「github-project-management」。 Find and triage unlabeled issues

預期結果:

  • Analyzed 15 unlabeled issues
  • Labeled 8 bugs with bug,swarm-debugger
  • Labeled 5 features with enhancement,swarm-feature
  • Labeled 2 performance items with performance,swarm-optimizer
  • Prioritized issues based on keywords and complexity

安全審計

低風險
v4 • 1/17/2026

This is a documentation-only skill containing example bash scripts for GitHub CLI operations. The static analyzer flagged 185 potential issues, but 99% are false positives. The 'shell backtick execution' findings are actually POSIX shell command substitution ($()) used in legitimate gh CLI examples. The 'weak cryptographic algorithm' findings are misidentified base64 strings in URLs/metadata. The 'system reconnaissance' findings are standard GitHub CLI commands (gh issue list, gh project list) for project management. All detected patterns are standard documentation for a legitimate GitHub project management tool.

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已掃描檔案
1,515
分析行數
2
發現項
4
審計總數

風險因素

⚙️ 外部命令 (1)
🌐 網路存取 (1)
審計者: claude 查看審計歷史 →

品質評分

38
架構
100
可維護性
87
內容
30
社群
90
安全
78
規範符合性

你能建構什麼

Automated sprint management

Coordinate sprints with AI agents that automatically assign tasks, track progress, and update project boards based on issue status.

Issue triage automation

Automatically label, prioritize, and assign issues to appropriate team members using AI analysis of issue content.

Cross-team coordination

Manage issues across multiple repositories and teams with synchronized project boards and automated progress tracking.

試試這些提示

Create sprint issues
Create GitHub issues for sprint planning with labels, assignees, and swarm coordination for a 2-week sprint focused on API development
Automate issue triage
Analyze and triage unlabeled GitHub issues, add appropriate labels based on content, and assign to relevant team members
Sync project boards
Synchronize issue status across development, QA, and release project boards with real-time updates
Generate progress reports
Generate comprehensive progress reports including burndown charts, velocity metrics, and blocker analysis for the current sprint

最佳實務

  • Always initialize swarm coordination for complex issues to enable parallel development and automated tracking
  • Use consistent labeling strategy across all issues to improve automation accuracy and team communication
  • Configure bidirectional sync between issues and project boards to maintain real-time status updates

避免

  • Avoid creating issues without swarm coordination for complex tasks - this misses automation benefits
  • Do not manually update project board cards when automated sync is available - this creates inconsistencies
  • Never skip proper GitHub CLI authentication setup - this causes permission errors during operations

常見問題

Is this compatible with GitHub Enterprise?
Yes, the skill works with GitHub Enterprise Cloud and Server editions using the same GitHub CLI commands.
What are the rate limits for large projects?
GitHub API has rate limits of 5000 requests per hour for authenticated users. The skill includes batching to minimize API calls.
Can I integrate this with Slack or Teams?
Yes, the skill can send notifications to Slack, Teams, and other platforms using webhook integrations configured in the workflow.
How secure is the data handling?
All operations use official GitHub CLI and APIs with OAuth tokens. No data is stored externally - everything stays in your GitHub repository.
What if the swarm agents conflict?
The skill uses conflict resolution strategies and maintains audit trails. You can always manually override automated decisions.
How does this compare to GitHub Projects automation?
This skill extends GitHub Projects with AI coordination, cross-repository sync, and intelligent task assignment not available in native automation.

開發者詳情

檔案結構

📄 SKILL.md