sene1337

OpenClaw skill: send a link, get a verdict. Transcribes, extracts, and tells your agent whether content is worth your time.

17
2
100% credibility
Found Feb 17, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Content Claw is a skill for AI agents that evaluates links to videos, articles, tweets, and podcasts, delivering verdicts on whether to watch, read, skim, or skip while extracting insights and organizing them into curated folders.

How It Works

1
🔍 Discover Content Claw

You hear about this clever tool that helps your AI assistant sort through links to videos, articles, and podcasts so you don't waste time on meh content.

2
🛠️ Add to your AI helper

You drop this skill into your AI assistant's collection, and it starts working right away after a quick refresh.

3
📤 Send a link to review

You message your AI with a YouTube link, article, or tweet saying 'review this' or 'worth my time?' and wait for the magic.

4
AI checks it out

Your assistant grabs the full content, compares it to your goals and what you already know, and decides if it's a keeper.

5
⚖️ Get the verdict

You receive a clear call like 'Watch', 'Read', 'Skim', or 'Skip', always with handy insights pulled out for you.

6
Content gets filed smartly
📚
Caught keepers

Valuable stuff like reads and watches go to your permanent knowledge shelf.

🗑️
Released with notes

Skips auto-clean after two weeks, skims wait for your monthly check to promote or clear.

🎉 Save hours weekly

Now your AI filters the noise, extracts the gold, and builds a curated library so you focus on what truly matters.

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AI-Generated Review

What is content-claw?

Content-claw is an OpenClaw skill for AI agents that takes a link—YouTube, article, tweet thread, or podcast—and delivers a quick verdict on whether it's worth your time. Send a URL with "review" or "?" and your agent transcribes or extracts the content, cross-references it against your goals and knowledge, then rates it Skip, Skim, Read, or Watch while pulling key insights like claw alcohol content or clawtails sugar content details. It solves endless scrolling through noise by auto-filing winners to "caught/" keepers and dumping skips to auto-purge folders, all in an unknown-language setup tied to OpenClaw agents.

Why is it gaining traction?

It hooks devs with user-facing perks like URL sanitization stripping trackers, duplicate checks to avoid rework, duration warnings for long videos, and monthly skim batch reviews for easy promotion. Unlike basic summarizers, it separates actions from insights, supports multi-format extraction from clawee downloadable content to white claws content threads, and adapts to your agent's existing docs without setup hassle. The claw skill tells agents precisely what extracts value, turning passive consumption into zero-maintenance knowledge curation.

Who should use this?

OpenClaw users like AI tinkerers, indie devs scanning clawtails calorie content or clawtails carb content talks, and product leads delegating podcast reviews. Suited for knowledge workers querying clawtails nutrition content or clawtails sodium content reddit threads via agents, or anyone building personal AI for content diets heavy on YouTube and Substack. Skip if you're not in the OpenClaw ecosystem.

Verdict

At 15 stars and 1.0% credibility score, content-claw feels pre-maturity—solid README docs and dead-simple install via git clone/copy, but light on tests and adoption. Worth a spin for OpenClaw fans filtering agent-bound content; hold off otherwise until it claws more traction.

(198 words)

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