Knowledge Base Maintenance with Claude Code: API Runtime Pattern
A production playbook for knowledge base maintenance in cross-industry operations using Claude Code: api runtime pattern, run-scoped inputs, logs, typed results, and artifacts.
Audience: Support and documentation teams
The problem
Support and documentation teams need knowledge base maintenance to run repeatedly against docs, tickets, changelogs, and stale article lists. 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 knowledge base maintenance instructions as a skill, send docs, tickets, changelogs, and stale article lists 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 knowledge base maintenance, 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=knowledge-base-maintenance
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo