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Databases AI Skills

Discover Databases skills, compare source repositories and read the instructions for each workflow.

Categories: Databases

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GitHub

system-boundaries

AmnadTaowsoam

Defining clear boundaries between systems, services, and modules to manage complexity and enable independent evolution.

GitHub

enterprise-rbac-models

AmnadTaowsoam

Comprehensive guide to implementing Role-Based Access Control for enterprise applications with hierarchical roles, custom permissions, and multi-level access

GitHub

cost-guardrails

AmnadTaowsoam

See the main Budget Guardrails skill for comprehensive coverage of cost controls and governance.

GitHub

data-contracts

AmnadTaowsoam

Implementing formal agreements between data producers and consumers to ensure data reliability and stability.

GitHub

vendor-onboarding

AmnadTaowsoam

Comprehensive guide to enterprise vendor onboarding processes, timelines, requirements, and strategies for accelerating customer acquisition

GitHub

skill-discovery-chaining

AmnadTaowsoam

Protocols for efficiently identifying, retrieving, and combining relevant skills from the index to solve complex problems without context overload.

GitHub

error-shape-taxonomy

AmnadTaowsoam

Standard error response taxonomy and envelope for services, including error codes, categories, retryability, correlation IDs, safe messaging, and validation error details

GitHub

deployment-patterns

AmnadTaowsoam

Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity

GitHub

backward-compatibility-rules

AmnadTaowsoam

Comprehensive guide to backward compatibility rules for APIs, databases, and data contracts with migration strategies and testing approaches

GitHub

audit-trails-for-agents

AmnadTaowsoam

Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging

GitHub

trade-off-analysis

AmnadTaowsoam

Systematic evaluation of architectural trade-offs to make informed decisions balancing competing concerns.

GitHub

task-decomposition-strategy

AmnadTaowsoam

Systematic approach for breaking down complex, high-level requests into atomic, executable steps to ensure precision and prevent overwhelm.

GitHub

code-review-standards

AmnadTaowsoam

Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.

GitHub

deprecation-policy

AmnadTaowsoam

Structured approach to deprecating features, APIs, and systems with clear timelines and migration paths.

GitHub

openapi-governance

AmnadTaowsoam

Comprehensive guide to OpenAPI governance, API design standards, automated linting, breaking change detection, and API lifecycle management

GitHub

validation-metrics

AmnadTaowsoam

Comprehensive guide to choosing and tracking validation metrics that prove product-market fit and drive actionable insights

GitHub

commit-conventions

AmnadTaowsoam

Standardized commit message formats and conventions for clear, searchable, and automated-friendly version control history.

GitHub

hypothesis-writing

AmnadTaowsoam

Comprehensive guide to writing testable product hypotheses that drive learning and prevent building the wrong things

GitHub

regression-benchmarks

AmnadTaowsoam

Comprehensive guide to regression benchmarks for AI systems including test suite creation, CI/CD integration, and continuous benchmarking strategies

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.

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