ai-content-audit

# 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) ## Detection Method Slop isn't "AI wrote it" — it's *content with nothing inside*. Audit each piece for the signals, quoting instances: 1. **Information density** — the core test: delete every sentence that any competitor could have written, and me...