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AmnadTaowsoam AI Skills

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浏览 AmnadTaowsoam 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

417

收录技能的仓库 Stars 合计

223

仓库 Forks

0

平均每个技能的仓库 Stars

1

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

417 个技能

全部技能

GitHub

ai-model-registry

AmnadTaowsoam

Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.

GitHub

commit-conventions

AmnadTaowsoam

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

GitHub

feature-toggles-feature-flags

AmnadTaowsoam

Using runtime switches to enable or disable features without deploying new code, decoupling deployment from release and enabling gradual rollouts, A/B testing, and emergency feature disabling.

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

blue-green-deployment

AmnadTaowsoam

Deploying new version alongside existing version, switching traffic to new version after validation, enabling instant rollback by switching back to old version for zero-downtime deployments.

GitHub

repo-map-ssot

AmnadTaowsoam

Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references

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

model-versioning

AmnadTaowsoam

Comprehensive guide for ML model versioning and management strategies, including model registries, metadata tracking, and deployment workflows.

GitHub

advanced-iac-for-iot

AmnadTaowsoam

Infrastructure as Code for IoT environments using Terraform, Ansible, and GitOps for scalable, reproducible infrastructure

GitHub

ai-supply-chain-security-model-bom

AmnadTaowsoam

Implement Software/Model Bill of Materials (SBOM/MBOM) for AI systems, vulnerability management, adversarial attack defense, and trusted AI pipelines to secure the AI supply chain from training to deployment.

GitHub

canary-deployment

AmnadTaowsoam

Gradually rolling out new versions to a subset of users, monitoring for issues, and expanding the rollout if everything looks healthy to minimize risk and enable fast rollback.

GitHub

regression-benchmarks

AmnadTaowsoam

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

GitHub

config-distribution

AmnadTaowsoam

Patterns for distributing configuration and secrets to services safely and consistently across environments (env vars, config files, secret managers, K8s External Secrets, and change process)

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

release-checklist-gate

AmnadTaowsoam

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

GitHub

mobile-cicd-pipelines

AmnadTaowsoam

Automating building, testing, and deploying mobile applications using GitHub Actions, Fastlane automation, code signing, and App Store submission automation.

GitHub

content-versioning

AmnadTaowsoam

Tracking changes to content over time enabling rollback, comparison, and audit trails with version history, diff viewing, and content lifecycle management.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。