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ahmedasmar AI Skills

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

Author statistics

Indexed skills

6

Repository stars across indexed skills

468

Repository forks

42

Average repository stars per indexed skill

78

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

iac-terraform

ahmedasmar

Infrastructure as Code with Terraform and Terragrunt. Use for creating, validating, troubleshooting, and managing Terraform configurations, modules, and state. Covers Terraform workflows, best practices, module...

GitHub

k8s-troubleshooter

ahmedasmar

Systematic Kubernetes troubleshooting and incident response. Use when diagnosing pod failures, cluster issues, performance problems, networking issues, storage failures, or responding to production incidents. P...

GitHub

ci-cd

ahmedasmar

CI/CD pipeline design, optimization, DevSecOps security scanning, and troubleshooting. Use for creating workflows, debugging pipeline failures, implementing SAST/DAST/SCA, optimizing build performance, implemen...

GitHub

aws-cost-finops

ahmedasmar

AWS cost optimization and FinOps workflows. Use for finding unused resources, analyzing Reserved Instance opportunities, detecting cost anomalies, rightsizing instances, evaluating Spot instances, migrating to...

GitHub

gitops-workflows

ahmedasmar

GitOps deployment workflows with ArgoCD and Flux. Use for setting up GitOps (ArgoCD 3.x, Flux 2.7), designing repository structures (monorepo/polyrepo, app-of-apps), multi-cluster deployments (ApplicationSets,...

GitHub

monitoring-observability

ahmedasmar

Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs an...

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.