6f3a0ea38e
- Created a new HTML page (`index.html`) for the interactive LLM context builder, allowing users to select and combine different `crawl4ai` context files. - Implemented JavaScript functionality (`llmtxt.js`) to manage component selection, context types, and file downloads. - Added CSS styles (`llmtxt.css`) for a terminal-themed UI. - Introduced a new Markdown file (`build.md`) detailing the requirements and functionality of the context builder. - Updated the navigation in `mkdocs.yml` to include links to the new context builder and demo apps. - Added a new Markdown file (`why.md`) explaining the motivation behind the new context structure and its benefits for AI coding assistants.
21 lines
456 B
Plaintext
21 lines
456 B
Plaintext
# Demo: Login Flow with Blockly
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# This script can be created visually using Blockly blocks
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GO https://example.com/login
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WAIT `#login-form` 5
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# Check if already logged in
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IF (EXISTS `.user-avatar`) THEN GO https://example.com/dashboard
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# Fill login form
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CLICK `#email`
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TYPE "demo@example.com"
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CLICK `#password`
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TYPE "password123"
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# Submit form
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CLICK `button[type="submit"]`
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WAIT `.dashboard` 10
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# Success message
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EVAL `console.log('Login successful!')` |