content-pattern-intelligence
Analyze top-performing posts across three performance lenses — engagement, impressions, and engagement rate — to identify content patterns and give the user specific hypotheses to test in their next posts. Use this skill whenever the user asks things like "what's working in my content", "what should I post more of", "why are some posts doing better", "what patterns do you see", "give me content ideas based on my best posts", "what content works best for [client]", "analyze my top posts", or "what should I try next month". Also activate when the user wants to understand performance beyond just numbers — when they're asking for creative direction, not just a report. Always use this skill instead of a generic performance summary when the user's goal is to improve future content.
Install
With your agent
Install OMGSkills skill "seranking-planable/smm-skills:skills/content-pattern-intelligence" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/seranking-planable/smm-skills /tmp/smm-skills && ln -s /tmp/smm-skills/skills/content-pattern-intelligence ~/.claude/skills/content-pattern-intelligenceFrom README
Content pattern intelligence Look at what's actually working — then tell the user why, and what to try next. This skill analyzes top posts across three performance lenses, finds patterns in the content itself (format, hook, topic, tone, structure), and translates them into specific, testable hypotheses for future posts. This is not a performance report. It's a content brief grounded in data. --- Step 0: Detect input mode Mode A — Planable connector User has Planable connected and wants to pull live post data. Mode B — CSV upload User has uploaded a CSV export with post-level data (text, date, platform, metrics).
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