ai-content-audit

1# AI Content Audit Skill
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3Teams 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.
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5## What This Skill Produces
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7- An **audited inventory** with per-piece verdicts: keep / enrich / rewrite / delete-and-redirect
8- The **detection signals** found, quoted — so verdicts are checkable, not vibes
9- A **triage plan** sequenced by traffic and trust impact
10- A **publishing quality gate** for AI-assisted content going forward
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12## Required Inputs
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14Ask for (if not already provided):
15- **The corpus** — pieces or URLs to audit (or a sample; state the sampling), with publish dates
16- **Performance data if available** — traffic, engagement, rankings over time (the audit works without it, but verdicts get sharper)
17- **What the content is *for*** — SEO, docs, thought leadership, support deflection (the quality bar differs)
18- **Production context** — when AI-assisted publishing started, at what volume (the before/after seam is diagnostic gold)
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20## Detection Method
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22Slop isn't "AI wrote it" — it's *content with nothing inside*. Audit each piece for the signals, quoting instances:
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