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AmnadTaowsoam AI Skills

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Browse published AI skills maintained by AmnadTaowsoam. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

417

Repository stars across indexed skills

223

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

417 skills

Browse skills

GitHub

postmortem-analysis

AmnadTaowsoam

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

GitHub

retention-and-deletion

AmnadTaowsoam

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

GitHub

lakehouse-patterns

AmnadTaowsoam

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

GitHub

data-validation-rules

AmnadTaowsoam

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

GitHub

security-questionnaires

AmnadTaowsoam

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

GitHub

cost-modeling

AmnadTaowsoam

See the main Cloud Cost Models skill for comprehensive coverage of cost modeling and pricing strategies.

GitHub

release-checklist-gate

AmnadTaowsoam

Checklist gate สำหรับ production release ครอบคลุม testing, documentation, rollback plan, และ stakeholder sign-off

GitHub

migration-planning

AmnadTaowsoam

Systematic planning and execution of system migrations including database migrations, platform changes, and technology stack transitions.

GitHub

rollout-and-kill-switch

AmnadTaowsoam

Comprehensive guide to safe agent deployment strategies including canary releases, feature flags, kill switches, and automated rollback mechanisms

GitHub

users

AmnadTaowsoam

Data contracts สำหรับกำหนด schema, quality expectations และ SLAs ระหว่าง data producers และ consumers

GitHub

event-style-guide

AmnadTaowsoam

Event-driven design conventions: event envelope, naming, versioning, schema evolution rules, idempotency, ordering/partitioning, retry and dead-letter handling

GitHub

anti-bloat-checklist

AmnadTaowsoam

Checklist สำหรับตรวจสอบและกำจัด bloat ใน context, prompt, และ response เพื่อลด token cost และเพิ่ม signal-to-noise ratio

GitHub

config-environment-conventions

AmnadTaowsoam

Conventions for service configuration and environment variables: naming, precedence, validation at startup, secrets handling, environment detection, and documentation patterns

GitHub

model-risk-management

AmnadTaowsoam

Identifying, assessing, and mitigating risks associated with the use of machine learning models in business processes.

GitHub

rag-evaluation

AmnadTaowsoam

Comprehensive guide to evaluating Retrieval-Augmented Generation systems including retrieval metrics, generation quality, faithfulness, and end-to-end evaluation frameworks

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.