mkhsu2002

mkhsu2002 / openclaw-agent-feeds

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Standardized agent data feeds and automation instruction sets for the OpenClaw framework. 專為 OpenClaw 框架設計的標準化代理資料流與自動化指令集。

openclawfeeds.icareu.tw ai-agents feeds openclaw seo skills
65
12
89% credibility
Found Mar 18, 2026 at 65 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A web-based catalog of modular prompt templates designed to instantly enhance AI agents in the OpenClaw system by copying instructions into messaging apps.

How It Works

1
🕵️ Discover Lobster Feeds

You hear about a fun menu of boosters for your AI pet called OpenClaw and visit the simple website to check it out.

2
📱 Browse the Menu

You scroll through colorful cards grouped by topics like core upgrades or fun specialties, picking ones that match your needs.

3
🔍 Peek at a Booster

Tap a card to open a popup showing what the booster does and how it makes your AI smarter.

4
📋 Grab the Instructions

Switch to the easy setup guide and hit copy to snag the special words ready to use.

5
💬 Feed Your AI

Paste the words into your chat app with OpenClaw, and watch it instantly learn the new trick.

🚀 AI Leveled Up!

Your OpenClaw agent now handles tasks better, like a pro, thanks to the quick upgrade.

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AI-Generated Review

What is openclaw-agent-feeds?

This JavaScript project delivers standardized agent data feeds and instruction sets for the OpenClaw framework, letting you upgrade AI agents via simple copy-paste prompts sent through IM apps like LINE or Telegram. It solves the hassle of crafting precise prompts from scratch by offering a browsable web UI with 27+ modular "feeds" for enhancements like hallucination guardrails, multi-agent orchestration, and automation packs. Deploy it statically, filter by category or skill level, view specs, and grab ready-to-use instructions instantly.

Why is it gaining traction?

It stands out with instant, deterministic upgrades that cut AI hallucinations and boost precision, without needing code changes—just paste into your OpenClaw agent. The mobile-optimized UI, multilingual docs, and coverage from core framework tools to verticals like legal analysis or SEO automation make it a quick win over generic prompt libraries. Developers hook on the categorized library and one-click copy for real-world agent improvements.

Who should use this?

OpenClaw users building production agents for research, dev tools, or business intel, like indie devs automating lead gen or teams enforcing PII masking in compliance workflows. It's ideal for AI engineers prototyping multi-agent systems or vertical specialists needing medical or legal precision without prompt engineering from zero. Skip if you're not in the OpenClaw ecosystem.

Verdict

Grab it if you're deep in OpenClaw—solid docs and practical feeds make it useful now, despite 65 stars signaling early maturity. The 0.8999999761581421% credibility score flags risks like limited adoption, so test thoroughly before production.

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