Senternet Built Reusable AI Skills to Automate Production Web Infrastructure
Web studio Senternet found that while AI tools like Claude could quickly generate polished React components, the surrounding production infrastructure — including sitemaps, Open Graph images, CSP headers, and prerendering — still consumed days of manual work. The team initially tried using long, detailed prompts to enforce standards, but found that AI models would reliably execute some instructions while silently skipping others, with no way to audit what had been missed. Their solution was to stop relying on prompts as conversations and instead build versioned, single-purpose 'Claude Code skills,' each responsible for exactly one production concern such as meta tags, prerendering, or IndexNow submissions. Each skill lives in a file, can be version-controlled and reviewed, and produces consistent results when run across different projects. This infrastructure-as-code approach allowed the team to ship production-ready websites repeatedly without relying on anyone remembering a long checklist of manual steps.
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