AI Content Audit Skill

Teams that scaled content with AI are discovering the bill: libraries full of fluent, structurally identical, information-free pieces that readers bounce off, search engines quietly demote, and — worst — that erode the trust the good content earned. This skill audits the library for slop with named signals, triages it, and installs the gate that stops the refill.

What This Skill Produces

• An audited inventory with per-piece verdicts: keep / enrich / rewrite / delete-and-redirect
• The detection signals found, quoted — so verdicts are checkable, not vibes
• A triage plan sequenced by traffic and trust impact
• A publishing quality gate for AI-assisted content going forward

Required Inputs

Ask for (if not already provided):

• The corpus — pieces or URLs to audit (or a sample; state the sampling), with publish dates
• Performance data if available — traffic, engagement, rankings over time (the audit works without it, but verdicts get sharper)
• What the content is for — SEO, docs, thought leadership, support deflection (the quality bar differs)
• Production context — when AI-assisted publishing started, at what volume (the before/after seam is diagnostic gold)