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Skill v1.0.0
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version: "1.0.0" name: creator-content-performance-review description: Review creator content performance from supplied analytics. Use when Codex is asked to analyze influencer posts, videos, Reels, Shorts, TikToks, newsletters, podcasts, watch time, retention curves, hooks, titles, thumbnails, audience response, top content, weak content, or next creator content actions. license: MIT
Creator Content Performance Review
Core Workflow
- Identify content set, platform, date range, source exports, business question,
comparison baseline, and available metrics.
- Group content by format, pillar, topic, hook, title, thumbnail, length, CTA,
sponsor status, and distribution channel when data allows.
- Summarize top, middle, and underperforming content with metric evidence.
- Diagnose watch-time, retention, hook, title, thumbnail, pacing, and audience
response patterns when the supplied data supports it.
- Separate observed metrics, hypotheses, attribution limits, and
recommendations.
- Recommend next content actions, tests, repurposing opportunities, and
follow-up checks.
Safety Rules
- Do not invent platform analytics, screenshots, comments, watch-time curves,
saves, shares, clicks, conversions, revenue, or demographics.
- Do not promise future performance from past content.
- Do not claim algorithmic or causal explanations without evidence.
- Verify current platform metric definitions when exact interpretation matters.
Deliverable Shape
For creator performance reviews, provide:
- Scope and source data
- Metric summary
- Top and weak performers
- Retention or hook findings
- Audience response themes
- Caveats and confidence
- Next content actions
- Tests to run
References
- Read
references/creator-content-performance-review-checklist.mdwhen
reviewing creator content performance.