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docs(readme): trim Agent Skills and mark the Intelligence heading
Agent Skills repeated most of what the first starting point already says, and it sat after the call to action, which was the last of the three structural notes on the Quick Start. `skills onboard` installs the skills, so the section only needs to say how to add or refresh them on their own. The Intelligence heading takes the kite, matching how the other sections wear an emoji. The capability list stays unmarked: there the glyph competed with the bullet, and the section below explains the distinction anyway.
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@@ -100,14 +100,12 @@ Follow the Markdown instructions it prints until onboarding is complete.
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### Agent Skills
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CopilotKit ships [agent skills](https://docs.copilotkit.ai/cli?ref=github_readme) that teach your coding agent (Claude Code, Codex, Cursor, Gemini, and others) how to set up, build with, integrate, debug, and upgrade CopilotKit. `skills onboard` installs them for you; to install them on their own:
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`skills onboard` installs them for you. To add or refresh the [agent skills](https://docs.copilotkit.ai/cli?ref=github_readme) on their own — they teach Claude Code, Codex, Cursor, Gemini and others how to build with, debug and upgrade CopilotKit:
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```bash
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npx copilotkit@latest skills install
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```
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Run it again any time to refresh to the latest skills.
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## What you can build
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https://github.com/user-attachments/assets/72b7b4f3-b6e7-460c-a932-5746fe3c8db3
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@@ -124,7 +122,7 @@ https://github.com/user-attachments/assets/72b7b4f3-b6e7-460c-a932-5746fe3c8db3
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- **Rich Threads** – Conversations that survive reloads, devices, and sessions, with their generative UI intact.
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- **Automatic Learning** – Agents that improve from real usage: completed threads become reviewed Skills, with no fine-tuning pipeline.
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## CopilotKit Intelligence
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## 🪁 CopilotKit Intelligence
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What CopilotKit gives you runs on your side: your frontend, your runtime, your agents. **CopilotKit Intelligence** is the production platform your runtime talks to once real users arrive — rich threads with generative UI, user memories, product analytics, inspection, and automatic learning, without changing your frontend SDK, the AG-UI protocol, or your agent framework. Run it cloud-hosted, or inside your own cluster.
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