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Copy file name to clipboardExpand all lines: docs/ai_builder/features/agent_toolkit.md
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@@ -42,4 +42,4 @@ Skills add reusable Reflex-specific workflows to a local coding assistant. The A
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Use MCP for current structured documentation and component context. Use Skills for repeatable setup, development, validation, and debugging behavior. They can be used together.
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For the complete onboarding workflow, see [AI Onboarding](/docs/ai/integrations/ai-onboarding/).
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For the complete onboarding workflow, see the [Agent Toolkit guide](/docs/ai/integrations/agent-toolkit/).
Everything you need to onboard your AI coding assistant to Reflex.
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If you are building Reflex apps with AI, combine current docs, structured MCP context, and local skills so the assistant can plan, code, run, and debug with the same assumptions as the Reflex docs.
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The Agent Toolkit gives AI coding assistants the Reflex context they need to plan, code, run, and debug with the same assumptions as the Reflex docs.
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```python eval
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onboarding_resources()
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agent_toolkit_resources()
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```
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## Prerequisite: Choose Your Workflow
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## Reflex Docs for Agents
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You can give your assistant current Reflex documentation in a few ways.
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You can give your assistant current Reflex documentation in a few ways, whether it reads Markdown directly or queries the docs over MCP. Each tab below covers one approach and when to reach for it.
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`````md tabs
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Every docs page has a Markdown version that agents can read directly. Add `.md` to the docs path:
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