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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 просмотров • 8 месяцев назад •via X (Twitter)

Комментарии: 18

Фото профиля joye
joye8 месяцев назад

Just have a use case need this!Thanks!

Фото профиля weavehq
weavehq8 месяцев назад

woah!! wait, this is crazy...

Фото профиля Pietro Montaldo
Pietro Montaldo8 месяцев назад

Agents evolving fast.

Фото профиля Lucas
Lucas8 месяцев назад

Does it work for OpenCode as well?

Фото профиля Hyperbrowser
Hyperbrowser8 месяцев назад

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", } } } }

Фото профиля Hyperbrowser
Hyperbrowser8 месяцев назад

Get your API key Hyperbrowser API Key →

Фото профиля Hyperbrowser
Hyperbrowser8 месяцев назад

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

Фото профиля Hyperbrowser
Hyperbrowser8 месяцев назад

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

Фото профиля Hyperbrowser
Hyperbrowser8 месяцев назад

Learn more about Hyperbrowser:

Фото профиля harjot.co
harjot.co8 месяцев назад

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

Фото профиля Aparup
Aparup8 месяцев назад

🤝❤️

Фото профиля Vish
Vish8 месяцев назад

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

Фото профиля M.en
M.en8 месяцев назад

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.

Фото профиля harjot.co
harjot.co8 месяцев назад

One command = endless scrolling dead end.

Фото профиля LightShift Studio
LightShift Studio8 месяцев назад

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

Фото профиля Robogator
Robogator8 месяцев назад

Mind blown at how fast this levels up workflows already 🤯

Фото профиля shafu
shafu7 месяцев назад

dm!

Фото профиля Hieu Tran ⚡️
Hieu Tran ⚡️8 месяцев назад

Crazyyyyy !!!

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