GitHub
ci-pipeline-generator
Generator สำหรับสร้าง CI/CD pipeline configs (GitHub Actions, GitLab CI) พร้อม testing, linting, building และ deployment
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Databases AI Skills
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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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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.