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Progressive Delivery

  • 44 installs
  • 6 repo stars
  • Updated July 22, 2026
  • julianobarbosa/claude-code-skills

Helps with ai & agent building tasks.

About

progressive-delivery is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • progressive-delivery
  • AI & Agent Building
  • AI-coding skill

Progressive Delivery by the numbers

  • 44 all-time installs (skills.sh)
  • +1 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #7,851 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill progressive-delivery

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Installs44
repo stars6
Last updatedJuly 22, 2026
Repositoryjulianobarbosa/claude-code-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Progressive Delivery

Two complementary tools for moving versions safely through Kubernetes environments:

  • Argo Rollouts — replaces Deployment with a Rollout CRD that supports canary, blue-green, and metric-gated automated analysis. Handles traffic shaping at the cluster/service-mesh layer.
  • Kargo — extends GitOps with promotion logic. Tracks Freight (versioned bundles of artifacts) and promotes it through Stages (dev → staging → prod) via Warehouses (sources) and verification steps.

ArgoCD continues to do what it does (sync desired state → cluster). Rollouts decides traffic split during a single deploy. Kargo decides when the next stage gets the new version.

Scope routing

If you need to…Read
Canary / blue-green / metric-gated deploy of a single workloadReferences/argo-rollouts.md + References/argo-rollouts/
Promote a version across dev → stg → prod with manual or automated gatesReferences/kargo.md + References/kargo/
Both (Rollouts as the deploy strategy inside a Kargo-managed promotion)Read both; Kargo invokes ArgoCD which deploys a Rollout

Mental model

Kargo:    Freight v1.2.3 -> [dev stage] -> verify -> [stg stage] -> verify -> [prod stage]
                                                                              |
                                                                              v
ArgoCD:                                                                   syncs Rollout manifest
                                                                              |
                                                                              v
Rollouts:                                                          canary @ 10% -> analysis -> 50% -> 100%

When NOT to use

  • Simple Deployment rollouts that don't need traffic shaping or analysis gates — vanilla Kubernetes Deployments are fine.
  • Manual promotion via PRs editing target revision — that's the core argocd skill, not this one.
  • Feature flags and runtime percentage rollouts inside the app — that's an application concern (LaunchDarkly, Unleash, etc.), not a deployment one.

Gotchas

  • Rollouts replaces Deployment; it is not an addition. Migrating an existing app means changing the resource kind. Plan for one revision of downtime if not handled with kubectl-argo-rollouts conversion.
  • AnalysisTemplate metrics queries are scoped to the Rollouts controller's permissions. If your Prometheus is in another namespace, the controller needs RBAC or a service-account token.
  • Kargo Freight is immutable. Once produced, you don't edit it — you produce new Freight. Trying to "patch" a Stage's current Freight is an anti-pattern.
  • Kargo + ArgoCD integration requires Kargo's controller to have permission to update ArgoCD `Application` CRs. Default install doesn't grant this — read the Helm values for argocd.permissions.
  • Verification steps run between stages, not within them. A failing verification doesn't roll back the prior stage — it just blocks promotion forward. If you need rollback, that's a separate Rollouts-level analysis.

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