twitter-automation
Supports publishing text and media posts, scheduling content, liking, retweeting, sending DMs, following users, and retrieving profiles. Covers social media automation, engagement workflows, and audience growth.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Supports publishing text and media posts, scheduling content, liking, retweeting, sending DMs, following users, and retrieving profiles. Covers social media automation, engagement workflows, and audience growth.
Searches UIZZE's library of more than 800,000 web and iOS screens for interface references. Supports research into comparable apps, user flows, navigation, components, layouts, and interaction states before design or redesign.
Covers video ad specifications for TikTok, Instagram, YouTube, Facebook, and LinkedIn. Guides dimensions, duration limits, caption requirements, and AIDA-based creative for paid social and video marketing.
Guides platform-specific captions, hashtags, on-screen text, pinned comments, and calls to action for short-form video. Covers caption length, first-line visibility, muted viewing, and engagement-bait pitfalls, using performance patterns without promising virality.
Generates and critiques hooks for the opening one to three seconds of short-form videos. Covers hook archetypes, creator frameworks, visual and verbal coordination, on-screen text, and patterns that affect early retention, without guaranteeing virality.
Supports Reels scripts, hooks, captions, performance diagnosis, and Trial Reels testing decisions. Covers reach signals, originality guidelines, audio licensing, send-oriented CTAs, and Insights metrics using pattern-based guidance rather than promises of virality.
Creates concepts, hooks, outlines, and scripts for TikTok, Reels, and YouTube Shorts across formats such as demos, tutorials, stories, and carousels. Structures content around a hook, escalation, payoff, and CTA, and critiques drafts without promising virality.
Builds repeatable ideation workflows for TikTok, Reels, and YouTube Shorts. Covers content pillars and matrices, comment and search mining, competitor outliers, repurposing, and balancing evergreen content with trends.
Writes and improves TikTok content using guidance on ranking signals, completion rates, trending sounds, duets, stitches, and TikTok Shop pacing. Also addresses AI disclosure and differences from Reels, without promising virality.
Supports Shorts scripts, opening hooks, performance diagnosis, and strategies linking Shorts to long-form videos. Covers retention measurements, feed behavior, engaged views, music revenue splits, and monetization considerations using pattern-based guidance.
Uses Tavily and Exa through the inference.sh CLI for web search, content extraction, and direct answers. Supports research, fact-checking, content aggregation, RAG pipelines, and agent information gathering.
Create thumbnails using appropriate dimensions, safe zones, text placement, and facial-expression cues. Covers mobile previews and A/B testing for video covers and click-through optimization.
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