GitHub
ci-pipeline-generator
Generator สำหรับสร้าง CI/CD pipeline configs (GitHub Actions, GitLab CI) พร้อม testing, linting, building และ deployment
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数据库 AI 技能
发现 数据库 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
database-health-monitoring
Continuous monitoring and diagnostics for ensuring high availability, performance, and stability of database systems.
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GitHub
lint-format-and-type-check
Automated code quality enforcement through linting, formatting, and type checking to maintain consistent, error-free codebases.
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GitHub
schema-drift-handling
See the main Schema Drift Detection skill for comprehensive coverage of schema drift detection and management.
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GitHub
override-mechanisms
Implementing human override capabilities for AI decisions with proper tracking, auditing, and feedback loops.
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GitHub
lint-test-typecheck-policy
Policy สำหรับ enforce code quality ผ่าน linting, testing, และ type checking ใน CI pipeline
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GitHub
websocket-patterns
Advanced WebSocket patterns for real-time bidirectional communication in web applications.
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GitHub
on-call-playbooks
Comprehensive runbooks and playbooks for on-call incident response
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GitHub
escalation-and-ownership
Defining clear ownership models and escalation procedures to ensure incidents are handled by the right people at the right time.
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GitHub
logging-metrics-tracing-standard
Observability standards for services: structured logging schema, metrics naming and label rules, trace context propagation, correlation IDs, sensitive-data handling, and cardinality controls
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GitHub
docs-indexing-strategy
How to organize and index documentation for humans and AI: taxonomy, metadata, cross-linking, freshness reviews, and automated index generation
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GitHub
developer-onboarding-documentation
Comprehensive onboarding documentation to get new developers productive quickly with clear guides, checklists, and resources.
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GitHub
database-transactions
Comprehensive guide to database transactions, ACID properties, isolation levels, locking, and distributed transactions.
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GitHub
incident-triage
Rapid assessment and initial response processes for production incidents
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GitHub
data-quality-monitoring
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
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GitHub
human-in-the-loop-workflows
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
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GitHub
multi-cloud-patterns
Architecture patterns and strategies for multi-cloud deployments to avoid vendor lock-in.
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GitHub
dependency-mapping
Comprehensive guide to identifying, visualizing, and managing dependencies in complex projects to reduce risks and enable coordination
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GitHub
saga-pattern
Implementing distributed transactions across microservices using the Saga pattern with choreography and orchestration approaches.
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GitHub
connection-pooling
Implementing and optimizing database connection pools for high-performance applications.
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GitHub
environment-matrix-devstgprod
Environment standards for development, staging, and production: parity principles, data and access policies, configuration boundaries, and deployment controls
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GitHub
tenant-aware-ops
Operational patterns for multi-tenant systems: tenant-safe debugging and monitoring, per-tenant maintenance and migrations, fairness controls, and compliance-aware access
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GitHub
llm-judge-patterns
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
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GitHub
architecture-review
Structured process for reviewing and validating architectural decisions before implementation to catch issues early.
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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。