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feat: add jobdata API to llms.txt hub #497
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WalkthroughA new MDX content file is added to document the jobdata API, containing YAML frontmatter with metadata (name, description, website, llms URLs, category, publishedAt) and static markdown documentation. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
📜 Recent review detailsConfiguration used: Organization UI Review profile: CHILL Plan: Pro 📒 Files selected for processing (1)
🧰 Additional context used🔍 Remote MCPBased on my research, here's the relevant context found for reviewing this pull request: JobData API - Service Legitimacy & VerificationJobData API provides access to full job post data in JSON format from thousands of companies hiring globally across all industries. The service aggregates job listings from different ATS and HR software providers. All API endpoints are publicly accessible, and without a valid API key there is a maximum of ~10 requests per hour that can be made for testing purposes, which should be sufficient to get a sneak peek into how the API works. llms.txt Standard - Format & PurposeThe llms.txt file is a standardized way to provide information about how LLM-powered tools and services should interact with your documentation and codebase, and serves as a central hub for discovering and sharing llms.txt implementations across different projects and platforms. The standard includes two files: /llms.txt (a streamlined view of documentation navigation to help AI systems quickly understand a site's structure) and /llms-full.txt (a comprehensive file containing all documentation in one place), both using Markdown formatting. The llms.txt file uses Markdown to structure information rather than a classic structured format such as XML, because these files are expected to be read by language models and agents. llms.txt Hub Repository ContextThe llms.txt standard helps guide AI models on how to interpret and use documentation, standardize documentation access for LLM-powered tools, improve accuracy of AI responses, enhance developer experience with AI-powered tools, and set clear boundaries for AI interaction with content. Projects are organized into primary categories (AI & ML, Developer Tools, Data & Analytics, Integration & Automation, Infrastructure & Cloud, Security & Identity) and secondary categories (personal, agency, e-commerce, education, media, international, other). The PR categorizes JobData API under "data-analytics," which aligns with the repository's established organizational structure. ⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
🔇 Additional comments (2)
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This PR adds jobdata API to the llms.txt hub.
Submitted by: llmstxt
Website: https://jobdataapi.com
llms.txt: https://jobdataapi.com/llms.txt
llms-full.txt: https://jobdataapi.com/llms-full.txt
Category: data-analytics
This PR was created via admin token for a user without GitHub repository access.
Please review and merge if appropriate.
Summary by CodeRabbit
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