Analyze X posts for viral potential based on the open-source recommendation algorithm (19-element scoring system). Conversation drivers and strong sharing signa
X Impact Checker evaluates Twitter (X) posts for viral potential using a detailed 19-factor scoring system based on an open-source recommendation algorithm. It measures core engagement signals like reply and retweet potential, extended engagement through media interactions and dwell time, and relationship-building factors such as profile clicks and follow potential. The tool also accounts for negative signals like clickbait or offensive content, producing a composite score out of 100 with letter-grade tiers to guide content optimization.
The skill generates a structured report including a numerical score, breakdown of scoring categories, prioritized improvement suggestions, and an optimized version of the post. This allows marketers to identify which elements drive conversation, sharing, and sustained attention, helping to refine content for better reach and interaction on X.
This skill is designed for growth marketers, social media strategists, and content operators focused on maximizing organic engagement on X. It suits performance marketers who need to validate the viral potential of posts before launch, agency strategists managing multiple client accounts seeking data-driven content improvements, and community managers aiming to boost conversation and follower growth through targeted content adjustments.
It works best for teams wanting to move beyond vanity metrics by understanding which post features—like questions, media use, or share triggers—actually drive meaningful user actions and long-term audience relationships on the platform.
Practitioners start by inputting the text and media elements of an X post to analyze core engagement factors such as reply and retweet potential. Next, the skill calculates extended engagement scores by assessing dwell time proxies, click incentives, and multimedia usage within the post. Afterward, relationship-building metrics like profile curiosity and follow potential are evaluated to identify long-term audience impact.
Finally, the system applies penalties for risk factors including clickbait or aggressive tone to produce a total viral potential score with a corresponding grade. The report then surfaces the top five actionable improvements and offers an optimized rewrite that integrates these recommendations for stronger performance.
How detailed is the scoring system? The skill uses 19 specific, weighted factors spanning engagement, media interaction, and relationship building to provide a granular analysis.
Can it evaluate multimedia posts? Yes, it scores photo and video elements separately to capture their contribution to sustained attention and sharing potential.
Does it flag harmful or spammy content? The skill includes penalty categories for content that risks muting, blocking, or reporting, reducing the overall score to discourage such posts.
Attach the X Impact Checker skill to a Metaflow agent task focused on social media content review or growth experimentation. Once invoked, the agent will analyze submitted X posts and return a detailed score and improvement report, enabling data-driven decisions on what to publish or revise. This skill integrates seamlessly into workflows aimed at optimizing organic reach and engagement on X. We recommend combining it with complementary skills that focus on audience targeting and campaign tracking to...
For broader context, see our roundup of marketing skills claude, and read best Claude Code setup for marketing teams for related setup guidance.