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feat: add Offshore in Sn.Vincent to llms.txt hub #426
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WalkthroughA new MDX content file is added to the websites data directory with YAML frontmatter containing metadata fields (name, description, website, llmsUrl, llmsFullUrl, category, publishedAt) and a markdown description section. This is purely static content with no code or logic modifications. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~5 minutes Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
📜 Recent review detailsConfiguration used: CodeRabbit UI Review profile: CHILL Plan: Pro Knowledge base: Disabled due to 📒 Files selected for processing (1)
🧰 Additional context used🔍 Remote MCP Linearfor focused research. Let me search for information about the website being added and verify the PR details more directly:Perfect! The website is verified. Now let me check if the llms.txt file is actually accessible at the URL:Excellent! Now I have comprehensive context. Let me compile the final summary. Summary of Additional Context for PR #426 ReviewWebsite VerificationThe website truststvincent.com belongs to St. Vincent Trust & Escrow Ltd, an officially licensed entity with License Number #51 RA 2019, operating as a financial fiduciary, trustee, and agent in St. Vincent and the Grenadines. The organization is described as "your singular solution for diverse offshore services." Business Operations ClassificationThe PR correctly categorizes this addition as "business-operations." St. Vincent and the Grenadines stands out as an attractive offshore jurisdiction due to its favorable tax laws for foreign investment, offering a tax-efficient environment for both individuals and companies. llms.txt Hub ContextThe llms.txt file is a standardized way to provide information about how LLM-powered tools and services should interact with documentation and codebase, and the repository serves as a central hub for discovering and sharing llms.txt implementations across different projects and platforms. The standard helps guide AI models on how to interpret and use documentation, standardize documentation access for LLM-powered tools, improve accuracy of AI responses about projects, and enhance developer experience with AI-powered tools. Key Items for Review
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🔇 Additional comments (3)
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This PR adds Offshore in Sn.Vincent to the llms.txt hub.
Submitted by: mitchell
Website: https://truststvincent.com/
llms.txt: https://truststvincent.com/llms.txt
llms-full.txt: https://truststvincent.com/llms-full.txt
Category: business-operations
This PR was created via admin token for a user without GitHub repository access.
Please review and merge if appropriate.
Summary by CodeRabbit