X Impact Checker

This breaks down X posts using a 19-factor scoring system (100 points max) that mirrors Twitter's open-source recommendation architecture. You get a grade, a breakdown across reply potential, retweet likelihood, dwell time, relationship signals, and penalties, plus five concrete fixes and a rewritten version. It's useful when you're drafting something you actually care about performing well, or debugging why a tweet flopped despite decent content. The scoring rubric is detailed enough to be instructive without being precious about it. Works in English and Japanese. If you post on X regularly and hate guessing why engagement is inconsistent, this gives you something systematic to iterate against.

skills.sh installs: 218
GitHub stars: 110
last updated: Aug 21, 2026

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Install

$ npx -y skills add manojbajaj95/claude-gtm-plugin --skill x-impact-checker --agent claude-code

Installs into .claude/skills of the current project.

Files

X Impact Checker

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Analyze X posts for viral potential using a 19-element scoring system and heuristics inspired by X's published recommendation architecture.