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Skillrush Town: daily ClawHub Top100 snapshots and potential AI skill radar

15
5
89% credibility
Found May 05, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A static webpage displaying historical daily rankings of ClawHub AI skills by downloads and stars, including growth metrics, new entries, drop-offs, and highlighted potentials.

How It Works

1
🔍 Discover the tracker

You stumble upon this handy webpage that tracks the most downloaded AI skills on ClawHub every day.

2
🌐 Open the dashboard

You visit the simple webpage and see the latest top 100 skills listed with their popularity numbers.

3
📊 Explore daily rankings

You browse colorful cards showing top skills, their download counts, stars, and how they've grown or changed ranks compared to yesterday.

4
📅 Pick a past day

Choose any recent date from a dropdown to see how the rankings looked back then and spot trends.

5
🔎 Search for skills

Type a name or author in the search box to filter and find exactly what interests you.

6
⭐ Spot rising stars

Check the 'potential' list for exciting new or surging skills with tips on why they're worth watching.

🚀 Find your next skill

You now have great insights on hot AI skills to try, with growth stories and smart suggestions.

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Star Growth

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AI-Generated Review

What is skillrush-town?

Skillrush Town is a Python tool that pulls daily ClawHub Top100 snapshots by downloads, computes deltas for stars and rankings against prior days, and spots potential rising skills via a built-in radar. It outputs JSON data files for historical tracking, Markdown reports with growth lists and advice, and a static web dashboard for searching, viewing top movers, new entries, and dropouts. Developers get an automated feed of ClawHub skill trends without scraping or charting from scratch.

Why is it gaining traction?

It stands out by automating ClawHub Top100 monitoring with smart filters for potential skills—new entrants, big rank jumps, or dual download/star surges—delivered as a forkable GitHub Pages site. The radar hooks users with actionable lists like "下载 Top20 + 星标 Top30," plus growth rankings and comparison notes on data limitations. No setup beyond running a daily Python script; instant historical views beat manual ClawHub checks.

Who should use this?

AI skill builders scanning ClawHub for competitors' download spikes before launching updates. Prompt engineers hunting potential skills in daily Top100 snapshots to adapt workflows. Researchers or teams building skillrush radars need this for baseline ClawHub trend data in reports.

Verdict

Worth forking for ClawHub monitoring if you're in AI skills—run the Python CLI daily for fresh snapshots and deploy the JS dashboard via GitHub Pages. At 15 stars and 0.9% credibility, it's early but functional with solid docs; add tests for production reliability.

(198 words)

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