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gitops-workflow

Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.

92

1.09x
Quality

Does it follow best practices?

Impact

84%

1.09x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is concise, highly actionable, and well-structured with real one-level-deep reference files. Its main weakness is workflow clarity: risky operations like pruning and force-syncing lack explicit validation checkpoints and feedback loops.

Suggestions

Add explicit validation/verification steps to the risky workflows, e.g. after `flux bootstrap` or `kubectl apply` for ArgoCD, verify health/sync status before proceeding.

Introduce a validate->fix->retry feedback loop in the sync and troubleshooting sections (e.g. `argocd app get` to confirm sync succeeded, then act on errors) rather than listing commands in isolation.

Add an approval-gate/checklist checkpoint before production syncs and before destructive prune/force-sync operations.

DimensionReasoningScore

Conciseness

The body is lean and action-oriented (installation commands, complete YAML manifests, repo tree, troubleshooting commands) and assumes Claude's competence without explaining what GitOps or Kubernetes is.

3 / 3

Actionability

Provides fully executable bash commands and complete, copy-paste-ready YAML manifests (ArgoCD install, Application CRDs, Flux GitRepository/Kustomization, Rollout canary, ExternalSecret, kubeseal) rather than pseudocode.

3 / 3

Workflow Clarity

Steps are numbered and sequenced (Installation, Repository Structure, Create Application, App of Apps), but destructive/risky operations (prune, force-sync, production sync, secrets) lack explicit validation checkpoints or validate->fix->retry feedback loops, capping this at 2 per the rubric.

2 / 3

Progressive Disclosure

The body is an overview with clearly signaled, one-level-deep references ("See references/argocd-setup.md", "See references/sync-policies.md"), both of which exist as real files; organization and navigation are strong.

3 / 3

Total

11

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, concise, and complete, naming concrete tools and actions with an explicit Use-when trigger clause. It occupies a clear niche with low conflict risk.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and tools ("Implement GitOps workflows with ArgoCD and Flux", "automated, declarative Kubernetes deployments with continuous reconciliation") rather than vague language.

3 / 3

Completeness

Clearly answers both what (GitOps with ArgoCD/Flux for automated declarative K8s deployments) and when via an explicit "Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management" clause.

3 / 3

Trigger Term Quality

Good coverage of natural terms users would say (GitOps, ArgoCD, Flux, Kubernetes deployments, declarative infrastructure management) with common variations in the Use-when clause.

3 / 3

Distinctiveness Conflict Risk

Clear niche (GitOps via ArgoCD/Flux for Kubernetes) with distinct triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
wshobson/agents
Reviewed

Table of Contents

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