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。

分类目录: 数据库

GitHub

agile-scrum

AmnadTaowsoam

Comprehensive guide to Agile Scrum methodology including roles, ceremonies, artifacts, sprint planning, and best practices for iterative software development

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GitHub

confidence-scoring

AmnadTaowsoam

See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.

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GitHub

ai-data-privacy

AmnadTaowsoam

Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.

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GitHub

hot-reload-and-fast-feedback-loops

AmnadTaowsoam

Implementing fast feedback loops with hot reload, live reload, and rapid iteration to maximize developer productivity.

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GitHub

usage-based-pricing

AmnadTaowsoam

Architecture and implementation strategies for consumption-based billing models in SaaS products.

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GitHub

service-standards-blueprint

AmnadTaowsoam

SSOT blueprint for creating consistent services: folder structure, required endpoints, dependency conventions, interface contracts, docs/testing/security/observability requirements

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GitHub

ai-agent-patterns

AmnadTaowsoam

Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.

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GitHub

chaos-engineering

AmnadTaowsoam

Systematic approach to testing system resilience through controlled failure injection and experimentation

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GitHub

observability-packaging

AmnadTaowsoam

Standardize and package logs, metrics, and traces into services by default using a lightweight stack and shared instrumentation with dashboards and alerting

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GitHub

logging-redaction

AmnadTaowsoam

Comprehensive guide to preventing PII and secrets from appearing in logs through redaction strategies, safe logging practices, and automated filtering.

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GitHub

kubernetes-platform-engineering

AmnadTaowsoam

Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails

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GitHub

delivery-governance

AmnadTaowsoam

Comprehensive guide to delivery governance including quality gates, standards, compliance, and balancing governance with agility

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GitHub

cqrs-pattern

AmnadTaowsoam

Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.

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GitHub

data-quality-rules

AmnadTaowsoam

See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.

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GitHub

postmortem-analysis

AmnadTaowsoam

Comprehensive guide to conducting blameless postmortems and learning from incidents to improve system reliability

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GitHub

retention-and-deletion

AmnadTaowsoam

Comprehensive guide to data retention policies, deletion workflows, and implementing GDPR/CCPA right to erasure across distributed systems.

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GitHub

lakehouse-patterns

AmnadTaowsoam

Comprehensive guide to data lakehouse architecture combining data lake flexibility with data warehouse performance using Delta Lake, Iceberg, and Hudi

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GitHub

data-validation-rules

AmnadTaowsoam

Implementing comprehensive validation rules across database, application, and pipeline layers to ensure data integrity.

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GitHub

security-questionnaires

AmnadTaowsoam

Comprehensive guide to handling enterprise security questionnaires, building standard response libraries, and streamlining the vendor assessment process

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GitHub