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llm-and-ai-cost-optimization
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
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Testing & security AI Skills
Discover Testing & security skills, compare source repositories and read the instructions for each workflow.
Categories: Testing & security
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deployment-patterns
Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity
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backward-compatibility-rules
Comprehensive guide to backward compatibility rules for APIs, databases, and data contracts with migration strategies and testing approaches
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GitHub
runbook-templates
See the main On-Call Playbooks skill for comprehensive runbook templates and examples.
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GitHub
audit-trails-for-agents
Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging
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trade-off-analysis
Systematic evaluation of architectural trade-offs to make informed decisions balancing competing concerns.
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explainability
See the main Model Explainability skill for comprehensive XAI coverage.
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change-impact-map
A practical framework to map change dependencies and blast radius, including who/what is affected, what to test, rollout/rollback strategies, and stakeholder ownership
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task-decomposition-strategy
Systematic approach for breaking down complex, high-level requests into atomic, executable steps to ensure precision and prevent overwhelm.
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code-review-standards
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
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deprecation-policy
Structured approach to deprecating features, APIs, and systems with clear timelines and migration paths.
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GitHub
openapi-governance
Comprehensive guide to OpenAPI governance, API design standards, automated linting, breaking change detection, and API lifecycle management
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GitHub
validation-metrics
Comprehensive guide to choosing and tracking validation metrics that prove product-market fit and drive actionable insights
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GitHub
commit-conventions
Standardized commit message formats and conventions for clear, searchable, and automated-friendly version control history.
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GitHub
cache-invalidation-strategies
Patterns and strategies for cache invalidation - one of the two hardest problems in computer science.
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GitHub
database-locking-strategies
Understanding and implementing database locking mechanisms for concurrency control.
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GitHub
hypothesis-writing
Comprehensive guide to writing testable product hypotheses that drive learning and prevent building the wrong things
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GitHub
regression-benchmarks
Comprehensive guide to regression benchmarks for AI systems including test suite creation, CI/CD integration, and continuous benchmarking strategies
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GitHub
ci-pipeline-generator
Generator สำหรับสร้าง CI/CD pipeline configs (GitHub Actions, GitLab CI) พร้อม testing, linting, building และ deployment
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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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