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AmnadTaowsoam AI Skills

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Explorez les skills IA publiés de AmnadTaowsoam et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

417

Étoiles des dépôts des skills indexés

223

Forks du dépôt

0

Moyenne des étoiles par skill indexé

1

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

417 skills

Explorer

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.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.