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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 Aufrufe • vor 8 Monaten •via X (Twitter)

18 Kommentare

Profilbild von joye
joyevor 8 Monaten

Just have a use case need this!Thanks!

Profilbild von weavehq
weavehqvor 8 Monaten

woah!! wait, this is crazy...

Profilbild von Pietro Montaldo
Pietro Montaldovor 8 Monaten

Agents evolving fast.

Profilbild von Lucas
Lucasvor 8 Monaten

Does it work for OpenCode as well?

Profilbild von Hyperbrowser
Hyperbrowservor 8 Monaten

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", } } } }

Profilbild von Hyperbrowser
Hyperbrowservor 8 Monaten

Get your API key Hyperbrowser API Key →

Profilbild von Hyperbrowser
Hyperbrowservor 8 Monaten

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

Profilbild von Hyperbrowser
Hyperbrowservor 8 Monaten

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

Profilbild von Hyperbrowser
Hyperbrowservor 8 Monaten

Learn more about Hyperbrowser:

Profilbild von harjot.co
harjot.covor 8 Monaten

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

Profilbild von Aparup
Aparupvor 8 Monaten

🤝❤️

Profilbild von Vish
Vishvor 8 Monaten

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

Profilbild von M.en
M.envor 8 Monaten

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.

Profilbild von harjot.co
harjot.covor 8 Monaten

One command = endless scrolling dead end.

Profilbild von LightShift Studio
LightShift Studiovor 8 Monaten

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

Profilbild von Robogator
Robogatorvor 8 Monaten

Mind blown at how fast this levels up workflows already 🤯

Profilbild von shafu
shafuvor 8 Monaten

dm!

Profilbild von Hieu Tran ⚡️
Hieu Tran ⚡️vor 8 Monaten

Crazyyyyy !!!

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