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Your AI agents can now learn multiple skills at once. /learn batch One command. All skills. Parallel. Watch Claude Code learn your entire stack at once. Powered by Hyperbrowser, Setup Guide ↓

25,518 görüntüleme • 8 ay önce •via X (Twitter)

18 Yorum

joye profil fotoğrafı
joye8 ay önce

Just have a use case need this!Thanks!

weavehq profil fotoğrafı
weavehq8 ay önce

woah!! wait, this is crazy...

Pietro Montaldo profil fotoğrafı
Pietro Montaldo8 ay önce

Agents evolving fast.

Lucas profil fotoğrafı
Lucas8 ay önce

Does it work for OpenCode as well?

Hyperbrowser profil fotoğrafı
Hyperbrowser8 ay önce

Add Hyperbrowser MCP to Claude Code → Open your project → Create .mcp.json in root → Paste config: { "mcpServers": { "hyperbrowser": { "command": "npx", "args": ["-y", "hyperbrowser-mcp"], "env": { "HYPERBROWSER_API_KEY": "YOUR_HYPERBROWSER_API_KEY", } } } }

Hyperbrowser profil fotoğrafı
Hyperbrowser8 ay önce

Get your API key Hyperbrowser API Key →

Hyperbrowser profil fotoğrafı
Hyperbrowser8 ay önce

Add the /learn command → mkdir .claude/commands → Drop in learn. md → Restart Claude Code Get learn-batch. md from:

Hyperbrowser profil fotoğrafı
Hyperbrowser8 ay önce

Use it → /learn hono drizzle-orm anything Your agent knows it now.

Hyperbrowser profil fotoğrafı
Hyperbrowser8 ay önce

Learn more about Hyperbrowser:

harjot.co profil fotoğrafı
harjot.co8 ay önce

Skills aren't learned in parallel-depth trumps speed.

Aparup profil fotoğrafı
Aparup8 ay önce

🤝❤️

Vish profil fotoğrafı
Vish8 ay önce

parallel skill learning is the right call. the sequential approach was painful when onboarding claude code to a new project with 5+ dependencies... you sit there watching it read docs one by one for 20 minutes. batching that means your agent is actually useful within a couple minutes instead of making you wait long enough to question your life choices

M.en profil fotoğrafı
M.en8 ay önce

That's a fascinating leap forward in AI capability—parallel skill acquisition could dramatically streamline development workflows. But consider the opposite: when an agent learns multiple skills simultaneously, how do we ensure depth isn't sacrificed for breadth? For instance, could subtle nuances in a specific framework or language get overlooked in a batch process, compared to focused, sequential learning? What if, in complex or highly specialized stacks, there's a trade-off between comprehensive parallel learning and the precision that comes from mastering one skill at a time? I'm curious how this approach handles conflicting best practices or overlapping concepts across different tools.

harjot.co profil fotoğrafı
harjot.co8 ay önce

One command = endless scrolling dead end.

LightShift Studio profil fotoğrafı
LightShift Studio8 ay önce

Hey there! 📱 Just finished learning to surf and juggle 🧘‍♂️ all with one click? 🤖 Check out our latest marvel: You can now teach AI agents a whole bunch of

Robogator profil fotoğrafı
Robogator8 ay önce

Mind blown at how fast this levels up workflows already 🤯

shafu profil fotoğrafı
shafu8 ay önce

dm!

Hieu Tran ⚡️ profil fotoğrafı
Hieu Tran ⚡️8 ay önce

Crazyyyyy !!!

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