Kubernetes Config Review with Claude Code: API Runtime Pattern
A production playbook for Kubernetes config review in cross-industry operations using Claude Code: api runtime pattern, run-scoped inputs, logs, typed results, and artifacts.
Audience: Platform teams
The problem
Platform teams need Kubernetes config review to run repeatedly against manifests, Helm values, policy rules, and cluster constraints. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Package the Kubernetes config review instructions as a skill, send manifests, Helm values, policy rules, and cluster constraints as run-scoped inputs, execute with Claude Code, poll terminal status, and consume argo.result.v1 instead of parsing a transcript.
Tradeoffs and failure modes
The API boundary forces the workflow to define inputs, terminal states, and result shape before customers depend on it. For Kubernetes config review, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Run request
POST /api/skills/<skill_id>/run
provider=claude-code
workflow=kubernetes-config-review
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo