GitHub
issue-management
Monitor GitHub Issues, convert them to structured work, triage and label incoming issues, manage issue lifecycle, and detect duplicates
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xXKillerNoobYT AI Skills
GitHub ↗浏览 xXKillerNoobYT 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
作者统计
已收录技能
15收录技能的仓库 Stars 合计
0仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
热门分类
近期收录动态
全部技能
GitHub
code-review
Review pull requests for code quality, architectural compliance, security issues, test coverage, and provide actionable feedback with suggested improvements
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GitHub
error-detection-and-diagnosis
Proactively identify, diagnose, and document system errors before they impact users. Systematically find command mismatches, configuration issues, and connectivity problems through automated validation and heal...
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GitHub
task-planning
Analyze requirements and decompose complex work into atomic, dependency-aware GitHub Issues with proper priorities, test strategies, and implementation plans
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GitHub
task-execution
Execute development tasks autonomously by reading GitHub Issues, implementing solutions, running tests, and managing the full development lifecycle until completion
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GitHub
test-generation
Generate comprehensive unit, integration, and E2E tests for code, measure coverage, enforce quality gates, and verify task completion through testing
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GitHub
cloud-deployment
Deploy applications to cloud environments (Azure, AWS, GCP), manage infrastructure, monitor health, and coordinate the full deployment lifecycle from staging to production
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GitHub
issue-management
Monitor GitHub Issues, convert them to structured work, triage and label incoming issues, manage issue lifecycle, and detect duplicates
☆ 0查看技能
GitHub
debug-skill
AI-powered debugging assistance - analyzes errors, suggests breakpoints, and guides you through fixing bugs step-by-step
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GitHub
cloud-deployment
Deploy applications to cloud environments (Azure, AWS, GCP), manage infrastructure, monitor health, and coordinate the full deployment lifecycle from staging to production
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GitHub
mcp-tool-skill
Integrate MCP (Model Context Protocol) tools during development - use askQuestion for clarifications, reportObservation for logging, and reportTestFailure for issues
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GitHub
test-generation
Generate comprehensive unit, integration, and E2E tests for code, measure coverage, enforce quality gates, and verify task completion through testing
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GitHub
auto-test-generator
AI generates comprehensive Jest tests automatically for COE TypeScript code, similar to q4test but for general-purpose testing
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GitHub
testing-skill
Run Jest tests with focus on new code coverage >75%, generate coverage reports, and enforce quality gates for task completion
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GitHub
task-execution
Execute development tasks autonomously by reading GitHub Issues, implementing solutions, running tests, and managing the full development lifecycle until completion
☆ 0查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。