Individual skill
ai-content-audit
Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete. Use when asked to find slop in a content library, audit AI-written content quality, explain why content engagement or rankings dropped after scaling with AI, or set a quality bar for AI-assisted publishing. Produces an audited inventory with per-piece verdicts, the detection signals used, a triage plan, and a publishing quality gate that prevents recurrence. For a single article's AI-citability use aeo-optimizer; for the strategy itself use content-calendar or seo-content-brief.
skills/ai-content-audit/SKILL.md
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- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 1,539
- Repository last updated
- Nov 10, 2026
- License
- MIT
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SKILL.mdcore · 5,909 bytes
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# 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):