chencore

chencore / tweet-skills

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X Tweet Skills for OpenClaw - 推文自动创作技能包

31
9
100% credibility
Found Apr 23, 2026 at 31 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A collection of AI skills that automate the full process of creating engaging, collectible tweets for X, from hot topic selection to polished final output.

How It Works

1
🐦 Discover Tweet Magic

You hear about a fun pack of skills that helps your AI assistant create amazing tweets people love to save.

2
📁 Add the Skills

You simply copy the skills folder into your AI assistant's special folder, and it's ready to go.

3
💬 Chat with Your AI

Open your AI chat and say something like 'pipeline write about coffee tips' to start the magic.

4
✨ Watch It Create

Your AI gathers hot ideas, researches facts, crafts opinions, writes a full tweet, polishes it to sound human, adds a catchy title and hook.

5
📝 Review the Tweet

You get a 400-600 word tweet packed with data, unique views, tips, and a memorable punch that feels real.

✅ Post and Shine

Share your tweet on X, watch likes, saves, and shares pour in as people can't resist bookmarking it.

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AI-Generated Review

What is tweet-skills?

tweet-skills is a skills pack for OpenClaw that automates full-pipeline tweet creation on X (formerly Twitter), from harvesting hot topics to delivering polished 400-600 word posts designed for bookmarks. Tell OpenClaw a trigger phrase like "流水线写XX选题" for one-shot generation, or chain steps like "采集热点" for topics, "调研XX" for research, and "口语化" to strip AI flavor. Unlike basic github tweet generators or scrapers, it outputs human-like content with data-backed opinions, optimized titles, and conversion hooks.

Why is it gaining traction?

It stands out with a cron-ready pipeline that enforces "bookmark value" via specifics like numbers, unique takes, and actionable steps, plus a three-tier AI-taste detector that scores and fixes robotic prose. Developers dig the modular triggers for custom workflows, beating generic tweet machines or analyzers by focusing on viral, collectible output. Low stars (31) but hooks X power users automating github twitter content without fake tweet pitfalls.

Who should use this?

Twitter marketers or indie devs scaling X presence via AI, especially those building tweet harvest bots or react tweet github apps needing fresh, non-spammy copy. Suited for newsletter writers chaining topic research to tweet-to-image pipelines, or OpenClaw users wanting a tweet analyzer github alternative that generates instead of just scrapes.

Verdict

Skip for production—1.0% credibility score, 31 stars, and thin docs signal early immaturity despite solid OpenClaw integration. Fork and test for personal tweet skills tinkering if you're into automated X workflows.

(178 words)

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