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-->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003ECreating written tutorials can be a time-consuming and error-prone process, especially when done manually. The AGENTS.md file provides a structured approach to automate this process using AI assistants like Claude, ChatGPT, or Cursor AI.\u003C/p\u003E\n","\u003Cp\u003EThis tutorial walks you through the complete workflow of using AGENTS.md to convert input Jupyter notebooks into properly formatted Snowflake Guides that follow official guidelines.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Snowflake Guides (formerly known as Snowflake Quickstarts) are step-by-step tutorials published on the Snowflake developer site. "Quickstart" is now a content type category within Snowflake Guides, alongside other types like Community Solution, Partner Solution, and Certified Solution.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAbout AGENTS.md\u003C/h3\u003E\n","\u003Cp\u003EThe AGENTS.md file provides instruction and sets of rules to AI coding agents, following the standard format defined at \u003Ca href=\"https://agents.md/\"\u003Ehttps://agents.md/\u003C/a\u003E. This standardized format ensures that AI assistants can reliably interpret and follow project-specific guidelines.\u003C/p\u003E\n","\u003Cp\u003EThe \u003Ca href=\"https://github.com/Snowflake-Labs/snowflake-demo-notebooks/blob/main/Create-Snowflake-Guides-with-AGENTS-md/AGENTS.md\"\u003ESnowflake Guides AGENTS.md\u003C/a\u003E as proposed herein combines this standard format with specific instructions from two official Snowflake resources:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/get-started-with-guides/\"\u003EGet Started with Guides\u003C/a\u003E\u003C/strong\u003E - The official Snowflake Guides creation guide\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/_markdown-template\"\u003EMarkdown Template\u003C/a\u003E\u003C/strong\u003E - The official template structure from the \u003Ccode\u003Esfquickstarts\u003C/code\u003E repository\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EWhile the official markdown template can be used directly to create guides, the AGENTS.md file adds additional value by including:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EAI-specific instructions\u003C/strong\u003E - Guidance for how AI assistants should process and convert documents\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EValidation checklists\u003C/strong\u003E - Pre-publish verification steps to catch common errors\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ECategory reference tables\u003C/strong\u003E - Complete taxonomy analysis for automatically identifying the appropriate categories\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EBest practices\u003C/strong\u003E - Apply best practices in the creation of guides\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EWorkflow automation\u003C/strong\u003E - Structured prompts and output formatting rules\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow the AGENTS.md file structures the conversion process\u003C/li\u003E\u003Cli\u003EThe required metadata fields and their formats\u003C/li\u003E\u003Cli\u003EHow to organize content into the Snowflake Guides template\u003C/li\u003E\u003Cli\u003EBest practices for code blocks, headers, and formatting\u003C/li\u003E\u003Cli\u003EHow to validate your generated guide\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n","\u003Cp\u003EBy the end of this tutorial, you'll be able to:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EConvert a Jupyter notebook into a publish-ready Snowflake Guide\u003C/li\u003E\u003Cli\u003EUse the AGENTS.md file to guide AI assistants through the conversion process\u003C/li\u003E\u003Cli\u003EApply proper metadata, categories, and formatting to meet Snowflake's publishing standards\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EAccess to an AI assistant (Claude, ChatGPT, Cursor AI, or similar)\u003C/li\u003E\u003Cli\u003EA Jupyter notebook to convert into a guide\u003C/li\u003E\u003Cli\u003EBasic understanding of Markdown formatting\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EUnderstanding AGENTS.md\u003C/h2\u003E\n","\u003Cp\u003EThe AGENTS.md file is an instruction set that guides AI assistants through the Snowflake Guide conversion process. It contains:\u003C/p\u003E\n","\u003Ch3\u003EKey Components\u003C/h3\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EComponent\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EPurpose\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EAgent Behavior\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWhat the AI should do on load\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ETemplate Structure\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EThe exact format to follow\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EContent Rules\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFormatting guidelines\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EValidation Checklist\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPre-publish verification\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EThe Conversion Workflow\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003E1. AI asks for author name\n2. AI asks for document to convert\n3. AI processes document:\n   - Extracts content hierarchy\n   - Matches categories\n   - Preserves code snippets\n   - Generates action-verb title\n4. AI outputs ZIP file:\n   - folder-name/\n   └── folder-name.md\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAnatomy of a Snowflake Guide\u003C/h2\u003E\n","\u003Cp\u003EThis section covers the key structural elements that make up a properly formatted Snowflake Guide.\u003C/p\u003E\n","\u003Ch3\u003ERequired Metadata Fields\u003C/h3\u003E\n","\u003Cp\u003EEvery guide begins with metadata. Here's what it looks like:\u003C/p\u003E\n","\u003Ch4\u003EMetadata Example\u003C/h4\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-yaml\"\u003Eauthor: Chanin Nantasenamat\nid: build-business-ready-queries-with-snowflake-semantic-views\ncategories: snowflake-site:taxonomy/solution-center/certification/quickstart, snowflake-site:taxonomy/product/analytics, snowflake-site:taxonomy/product/ai\nlanguage: en\nsummary: Learn how to create Semantic Views in Snowflake to simplify complex SQL queries and build business-friendly abstractions over your data.\nenvironments: web\nstatus: Published\nfeedback link: https://github.com/Snowflake-Labs/sfguides/issues\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch4\u003EMetadata Fields\u003C/h4\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EField\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ERule\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EExample\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eauthor\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAsk user\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EChanin Nantasenamat\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eid\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ELowercase, hyphens, matches filename AND folder\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ebuild-business-ready-queries-with-snowflake-semantic-views\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecategories\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFrom approved list, always include quickstart\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESee category tables in AGENTS.md\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Elanguage\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EValid code: en, es, it, fr, ja, ko, pt_br\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Een\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Esummary\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOne sentence description\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EBrief overview of the guide\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Estatus\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EPublished\u003C/code\u003E or \u003Ccode\u003EArchived\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EPublished\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EContent Structure\u003C/h3\u003E\n","\u003Cp\u003EThe official Snowflake Guides template defines the specific structure that every guide must follow:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOverview\u003C/strong\u003E (with subsections)\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EWhat You'll Learn\u003C/li\u003E\u003Cli\u003EWhat You'll Build\u003C/li\u003E\u003Cli\u003EPrerequisites\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMain Content Sections\u003C/strong\u003E (H2 headings)\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EConclusion And Resources\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EWhat You Learned\u003C/li\u003E\u003Cli\u003ERelated Resources\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EHeader Hierarchy\u003C/h4\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-markdown\"\u003E## Main Section (H2) - Appears in right-side menu\n### Subsection (H3) - For detailed steps\n#### Sub-subsection (H4) - Maximum depth allowed\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EImportant:\u003C/strong\u003E Never go beyond H4 (\u003Ccode\u003E####\u003C/code\u003E). Deeper headings won't render correctly.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch4\u003EExample of Content Structure: Semantic View\u003C/h4\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-markdown\"\u003E## Overview\n### What You'll Learn\n### What You'll Build\n### Prerequisites\n\n## About the TPC-DS Dataset\n### Traditional SQL vs Semantic SQL\n### Query Complexity Framework\n\n## Create Semantic Views\n\n## Traditional vs Semantic SQL\n\n## Simple Questions\n### Store Numbers in Tennessee\n### Customers with Dependents\n### Stores in Midway\n\n## Advanced Questions\n### Customer Count by State\n...\n\n## Conclusion And Resources\n### Question/Schema Complexity: Key Findings\n### Lessons Learned\n### What You Learned\n### Related Resources\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECategory Selection\u003C/h3\u003E\n","\u003Cp\u003ECategories must come from the approved lists stored in AGENTS.md. Here's how the agent selects them:\u003C/p\u003E\n","\u003Ch4\u003EContent Type: Quickstart\u003C/h4\u003E\n","\u003Cp\u003E"Quickstart" is a content type category that must be included in every guide:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Esnowflake-site:taxonomy/solution-center/certification/quickstart\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EOther content types include: Community Solution, Partner Solution, and Certified Solution.\u003C/p\u003E\n","\u003Ch4\u003EMatch Content to Categories\u003C/h4\u003E\n","\u003Cp\u003EFor the Semantic View guide, we matched:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EContent Keywords\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESelected Category\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E"Analytics", "queries", "SQL"\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Esnowflake-site:taxonomy/product/analytics\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E"Semantic Views", "AI-powered"\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Esnowflake-site:taxonomy/product/ai\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch4\u003ECategory Sources in AGENTS.md\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EProduct Categories\u003C/strong\u003E - AI, Analytics, Data Engineering, Platform\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETechnical Use-Cases\u003C/strong\u003E - Ingestion, Transformation, Business Intelligence\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrioritized Features\u003C/strong\u003E - Cortex Analyst, Snowpark, Dynamic Tables\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIndustries\u003C/strong\u003E - Financial Services, Healthcare, Retail\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EValidation Checklist\u003C/h3\u003E\n","\u003Cp\u003EBefore finalizing, the agent runs the generated guide through this checklist provided in AGENTS.md:\u003C/p\u003E\n","\u003Ch4\u003EPre-Publish Verification\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E[ ] Categories are from the approved list\u003C/li\u003E\u003Cli\u003E[ ] ID is lowercase with hyphens (not underscores)\u003C/li\u003E\u003Cli\u003E[ ] ID matches markdown file name (without .md extension)\u003C/li\u003E\u003Cli\u003E[ ] ID matches the folder name containing the markdown file\u003C/li\u003E\u003Cli\u003E[ ] Language tag is populated with valid code\u003C/li\u003E\u003Cli\u003E[ ] Title starts with an action verb\u003C/li\u003E\u003Cli\u003E[ ] Overview section includes all required subsections\u003C/li\u003E\u003Cli\u003E[ ] Prerequisites includes Snowflake account signup link as first item\u003C/li\u003E\u003Cli\u003E[ ] Conclusion starts with "Congratulations! You've successfully..."\u003C/li\u003E\u003Cli\u003E[ ] No HTML is used in the markdown\u003C/li\u003E\u003Cli\u003E[ ] All code snippets are preserved exactly\u003C/li\u003E\u003Cli\u003E[ ] Headers do not exceed H4 (\u003Ccode\u003E####\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003E[ ] H2 headings are 3-4 words max\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003EExample of Guide Validation: Semantic View\u003C/h4\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ECheck\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EStatus\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EID: \u003Ccode\u003Ebuild-business-ready-queries-with-snowflake-semantic-views\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✓ Lowercase, hyphens\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFolder: \u003Ccode\u003Ebuild-business-ready-queries-with-snowflake-semantic-views/\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✓ Matches ID\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFile: \u003Ccode\u003Ebuild-business-ready-queries-with-snowflake-semantic-views.md\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✓ Matches ID\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETitle: "Build Business-Ready Queries..."\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✓ Starts with action verb\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPrerequisites: Snowflake signup link first\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✓ Included\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConclusion: "Congratulations! You've successfully..."\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✓ Correct format\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EExport Format\u003C/h3\u003E\n","\u003Cp\u003EThe AGENTS.md specifies exactly how to package the generated guide.\u003C/p\u003E\n","\u003Ch4\u003EFile Structure\u003C/h4\u003E\n\u003Cpre\u003E\u003Ccode\u003Ebuild-business-ready-queries-with-snowflake-semantic-views/\n└── build-business-ready-queries-with-snowflake-semantic-views.md\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch4\u003EKey Rules\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EFolder name\u003C/strong\u003E = \u003Ccode\u003Eid\u003C/code\u003E field value\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EFile name\u003C/strong\u003E = \u003Ccode\u003Eid\u003C/code\u003E field value + \u003Ccode\u003E.md\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EPackage\u003C/strong\u003E = ZIP file containing the folder\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EDelivery\u003C/strong\u003E = Download ZIP file (i.e. depending on the AI assistant, it may only allow Copy/paste of file contents)\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EComplete Workflow Example\u003C/h2\u003E\n","\u003Cp\u003ELet's walk through how the Semantic View guide was created:\u003C/p\u003E\n","\u003Ch3\u003EStep 1: Reference the agent file\u003C/h3\u003E\n","\u003Cp\u003EEnter the following into the chat box:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E@AGENTS.md\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 2: Provide Author Name\u003C/h3\u003E\n","\u003Cp\u003EAfter a few moments, the AI will ask:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EWelcome! I'll help you convert your document into a Snowflake Guide. Before we begin, please tell me:\n\nWhat is your name? (This will be used as the author)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EI'll go ahead and enter my name:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EChanin Nantasenamat\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 3: Provide Source Document\u003C/h3\u003E\n","\u003Cp\u003ENext, the AI asks:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EPlease provide the document you'd like to convert into a tutorial.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EI'll proceed with referencing the file by entering \u003Ccode\u003E@\u003C/code\u003E followed by the Jupyter notebook filename (without spacing after the \u003Ccode\u003E@\u003C/code\u003E character):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E@build-business-ready-queries-with-snowflake-semantic-views.ipynb\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 4: AI Processes the Input Content\u003C/h3\u003E\n","\u003Cp\u003EThe AI performs the following tasks:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EExtracted the notebook's content and structure\u003C/li\u003E\u003Cli\u003EIdentified 12 queries organized by complexity\u003C/li\u003E\u003Cli\u003EPreserved all SQL code snippets exactly\u003C/li\u003E\u003Cli\u003EMatched categories: Analytics, AI, Quickstart\u003C/li\u003E\u003Cli\u003EGenerated action-verb title: "Build XYZ..."\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 5: Iterative Refinement\u003C/h3\u003E\n","\u003Cp\u003EAfter initial generation, we refined:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EAdded ASCII output examples for each query\u003C/li\u003E\u003Cli\u003EAdded "Why it's simpler" explanations\u003C/li\u003E\u003Cli\u003EAdded Query Complexity Framework section\u003C/li\u003E\u003Cli\u003EFormatted SQL keywords with backticks (\u003Ccode\u003EJOIN\u003C/code\u003E, \u003Ccode\u003EWHERE\u003C/code\u003E, etc.)\u003C/li\u003E\u003Cli\u003EVerified all documentation links are correct\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 6: Final Validation\u003C/h3\u003E\n","\u003Cp\u003ERan through the validation checklist and confirmed all items passed.\u003C/p\u003E\n","\u003Ch3\u003EStep 7: Output Delivery\u003C/h3\u003E\n","\u003Cp\u003EUpon completion, the AI will say:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EI've generated your Snowflake Guide.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis is followed by details of the generated guide:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E### ✅ Tutorial Generated\n+----------------+---------------------------------------------------------------------+\n| Field          | Value                                                               |\n|----------------+---------------------------------------------------------------------|\n| **Author**     | Chanin Nantasenamat                                                 |\n| **Title**      | Build Business-Ready Queries with Snowflake Semantic Views          |\n| **ID**         | `build-business-ready-queries-with-snowflake-semantic-views`        |\n| **Categories** | Quickstart, Analytics, Business Intelligence, Interactive Analytics |\n| **Language**   | English (en)                                                        |\n+----------------+---------------------------------------------------------------------+\n\n### 📁 Files Created\n\nsemantic-view/\n├── build-business-ready-queries-with-snowflake-semantic-views/\n│ └── build-business-ready-queries-with-snowflake-semantic-views.md\n└── build-business-ready-queries-with-snowflake-semantic-views.zip\n\n### 📥 Download Location\n\nYour ZIP file is ready at:\nUsers/chanin/Documents/Cursor/semantic-view/build-business-ready-queries-with-snowflake-semantic-views.zip\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EBest Practices\u003C/h2\u003E\n","\u003Cp\u003EHere are some key best practices:\u003C/p\u003E\n","\u003Ch3\u003EThe Notebook as Source of Truth\u003C/h3\u003E\n","\u003Cp\u003EThe input notebook serves as the \u003Cstrong\u003Esingle source of truth\u003C/strong\u003E for generation of Snowflake Guides. A well-structured notebook contains two essential components that form the core of any guide:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EComponent\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EPurpose\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EExample\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ECode Documentation\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMarkdown cells explaining concepts, context, and expected outcomes\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E"This query retrieves store information filtered by state..."\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ECode Snippets\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EExecutable code cells with SQL queries, Python code, or configurations\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ESELECT * FROM store WHERE s_state = 'TN'\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003EThe AI extracts both components from the notebook and transforms them into the guide format—documentation becomes explanatory prose, and code snippets are preserved exactly as written.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EExample:\u003C/strong\u003E The Semantic View guide was generated from this Jupyter notebook:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/snowflake-demo-notebooks/tree/main/Snowflake_Semantic_View_Business_Ready_Queries\"\u003ESnowflake_Semantic_View_Business_Ready_Queries\u003C/a\u003E - Contains all SQL queries, markdown explanations, and expected outputs that became the guide content.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EContent Fidelity (Preventing Hallucination)\u003C/h3\u003E\n","\u003Cp\u003EThe AGENTS.md enforces strict rules to prevent AI hallucination and ensure all content comes exclusively from the provided input notebook:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ERule\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EDocument-only content\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUse ONLY content from the provided document; do not infer from external sources\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EPreserve code exactly\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMake NO changes to code snippets; preserve exactly as provided\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ERetain structure\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMaintain the hierarchical order of sections and sub-sections from the source\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EDeduce from document\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAll content within template brackets \u003Ccode\u003E[ ]\u003C/code\u003E must come directly from the provided document\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhy this matters:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EEnsures technical accuracy; AI won't invent SQL syntax or function names\u003C/li\u003E\u003Cli\u003EMaintains consistency between the source notebook and the published tutorial\u003C/li\u003E\u003Cli\u003EPrevents outdated or incorrect information from external sources\u003C/li\u003E\u003Cli\u003EMakes fact-checking easier since all content is traceable to the source\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EExample:\u003C/strong\u003E If the source notebook shows a specific SQL query, that exact query must appear in the guide—not a "cleaned up" or "improved" version.\u003C/p\u003E\n","\u003Ch3\u003EFact-Checking Is Essential\u003C/h3\u003E\n","\u003Cp\u003EAfter AI generates the guide, fact-checking against official documentation is critical. The AGENTS.md includes explicit guidance for this in the Iteration section:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhat to verify:\u003C/strong\u003E\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003ETechnical claims\u003C/strong\u003E - Verify SQL syntax, function names, and parameter descriptions against \u003Ca href=\"https://docs.snowflake.com/\"\u003ESnowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ELinks\u003C/strong\u003E - Ensure all URLs in Related Resources are valid and point to current documentation\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETerminology\u003C/strong\u003E - Confirm Snowflake-specific terms match official naming conventions\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cstrong\u003EExample from Semantic View guide:\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EDuring fact-checking, we verified the \u003Ccode\u003ECREATE SEMANTIC VIEW\u003C/code\u003E components against the official documentation:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EConfirmed \u003Ccode\u003EFACTS\u003C/code\u003E refers to row-level expressions (non-aggregated), not aggregates\u003C/li\u003E\u003Cli\u003EVerified \u003Ccode\u003EMETRICS\u003C/code\u003E is the correct term for aggregate expressions (\u003Ccode\u003ESUM\u003C/code\u003E, \u003Ccode\u003ECOUNT\u003C/code\u003E, \u003Ccode\u003EAVG\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EUpdated links to point to current documentation URLs\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAdding Images Post-Generation\u003C/h3\u003E\n","\u003Cp\u003EImages and screenshots can be added \u003Cstrong\u003Eafter\u003C/strong\u003E the guide has been generated through:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EManual addition\u003C/strong\u003E - Capture screenshots and add them to the markdown with proper formatting:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-markdown\"\u003E![description of image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/create-snowflake-guides-with-agents-md/image-name.png)\n\u003C/code\u003E\u003C/pre\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EAdditional vibe coding rounds\u003C/strong\u003E - Ask the AI to suggest where images would be helpful and what they should show, then capture and add them\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cstrong\u003EImage requirements from AGENTS.md:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ENaming: lowercase with hyphens (no underscores, no special characters)\u003C/li\u003E\u003Cli\u003EMaximum file size: 1 MB (GIFs may be larger but should be optimized)\u003C/li\u003E\u003Cli\u003EFormat: PNG or JPG\u003C/li\u003E\u003Cli\u003ELocation: Place in an \u003Ccode\u003Eassets/\u003C/code\u003E folder within the guide directory\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EFormatting\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EFormat SQL keywords\u003C/strong\u003E - Use backticks: \u003Ccode\u003EJOIN\u003C/code\u003E, \u003Ccode\u003EWHERE\u003C/code\u003E, \u003Ccode\u003EGROUP BY\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EKeep H2 headings short\u003C/strong\u003E - 3-4 words maximum\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EUse tables for structured data\u003C/strong\u003E - Quick reference, comparisons\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EAdd summaries\u003C/strong\u003E - Brief descriptions before/after code blocks\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EDocumentation\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EVerify all links\u003C/strong\u003E - Check that documentation URLs are valid\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EInclude multiple resource types\u003C/strong\u003E - Docs, quickstarts, GitHub repos\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EAdd context\u003C/strong\u003E - Explain why each resource is relevant\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EIteration\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EReview generated content\u003C/strong\u003E - AI may need corrections\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EAdd missing context\u003C/strong\u003E - Output examples, explanations\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EFact-check technical claims\u003C/strong\u003E - Verify against official docs\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EPublishing Your Work\u003C/h2\u003E\n","\u003Cp\u003EOnce your guide is validated and ready, submit it to the official Snowflake repositories on GitHub.\u003C/p\u003E\n","\u003Ch3\u003ESubmit Your Jupyter Notebook\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EFork the \u003Ca href=\"https://github.com/Snowflake-Labs/snowflake-demo-notebooks\"\u003Esnowflake-demo-notebooks\u003C/a\u003E repo\u003C/li\u003E\u003Cli\u003ECreate a folder with your notebook name (use underscores, e.g., \u003Ccode\u003ESnowflake_Semantic_View_Business_Ready_Queries\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EAdd your \u003Ccode\u003E.ipynb\u003C/code\u003E file and any supporting files\u003C/li\u003E\u003Cli\u003ESubmit a Pull Request\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003ESubmit Your Guide\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EFork the \u003Ca href=\"https://github.com/Snowflake-Labs/sfquickstarts\"\u003Esfquickstarts\u003C/a\u003E repo\u003C/li\u003E\u003Cli\u003ENavigate to \u003Ccode\u003Esite/sfguides/src/\u003C/code\u003E\u003C/li\u003E\u003Cli\u003EExtract your ZIP file (creates the folder with your markdown file)\u003C/li\u003E\u003Cli\u003ESubmit a Pull Request\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion And Resources\u003C/h2\u003E\n","\u003Cp\u003ECongratulations! You've successfully learned how to use the AGENTS.md file to create Snowflake Guides. You now understand the complete workflow from providing a source document to generating a properly formatted, validated guide.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EAGENTS.md structure\u003C/strong\u003E - Metadata fields, content hierarchy, and category selection\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESource of truth\u003C/strong\u003E - Notebooks provide code documentation and snippets; content fidelity rules prevent hallucination\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EQuality assurance\u003C/strong\u003E - Validation checklist and fact-checking against official docs\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOutput & publishing\u003C/strong\u003E - ZIP packaging and GitHub submission workflow\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EPost-generation\u003C/strong\u003E - Adding images via manual capture or additional AI rounds\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n","\u003Cp\u003EAGENTS.md:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/snowflake-demo-notebooks/blob/main/Create-Snowflake-Guides-with-AGENTS-md/AGENTS.md\"\u003ESnowflake Guides AGENTS.md\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://agents.md/\"\u003EAGENTS.md Guidelines\u003C/a\u003E - The official specification for providing instructions to AI coding agents\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EOfficial Snowflake Guides Resources:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/get-started-with-guides/\"\u003EGet Started with Guides\u003C/a\u003E - Official guide for creating Snowflake Guides\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/_markdown-template\"\u003ESnowflake Guides - Markdown Template\u003C/a\u003E - Official template structure from \u003Ccode\u003Esfquickstarts\u003C/code\u003E repository\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/sfguides\"\u003ESFGuides on GitHub\u003C/a\u003E - Official Snowflake Guides repository\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/\"\u003ESnowflake Documentation\u003C/a\u003E - Official Snowflake docs\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EExample Guides:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"build-business-ready-queries-with-snowflake-semantic-views/\"\u003EBuild Business-Ready Queries with Snowflake Semantic Views\u003C/a\u003E - The example guide used in this tutorial\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EExample Notebooks:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/snowflake-demo-notebooks/tree/main/Snowflake_Semantic_View_Business_Ready_Queries\"\u003ESnowflake_Semantic_View_Business_Ready_Queries\u003C/a\u003E - The input notebook that was converted into the Semantic View guide\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/snowflake-demo-notebooks/tree/main/Create-Snowflake-Guides-with-AGENTS-md\"\u003ECreate Snowflake Guides with AGENTS.md\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EPublishing Your Work:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/snowflake-demo-notebooks\"\u003Esnowflake-demo-notebooks\u003C/a\u003E - Submit your input Jupyter notebooks here\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/sfquickstarts\"\u003Esfquickstarts\u003C/a\u003E - Submit your generated guides here\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EHappy creations!\u003C/p\u003E"],"description":"Learn how to use the AGENTS.md file with AI assistants to convert Jupyter notebooks into properly formatted Snowflake Guides.","title":"Create Snowflake Guides with AGENTS.md","isDeveloperGuidesPage":false,":type":"snowflake-site/components/contentfragment","elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\nCreating written tutorials can be a time-consuming and error-prone process, especially when done manually. The AGENTS.md file provides a structured approach to automate this process using AI assistants like Claude, ChatGPT, or Cursor AI.\n\nThis tutorial walks you through the complete workflow of using AGENTS.md to convert input Jupyter notebooks into properly formatted Snowflake Guides that follow official guidelines.\n\n\u003E **Note:** Snowflake Guides (formerly known as Snowflake Quickstarts) are step-by-step tutorials published on the Snowflake developer site. \"Quickstart\" is now a content type category within Snowflake Guides, alongside other types like Community Solution, Partner Solution, and Certified Solution.\n\n### About AGENTS.md\n\nThe AGENTS.md file provides instruction and sets of rules to AI coding agents, following the standard format defined at [https://agents.md/](https://agents.md/). This standardized format ensures that AI assistants can reliably interpret and follow project-specific guidelines.\n\nThe [Snowflake Guides AGENTS.md](https://github.com/Snowflake-Labs/snowflake-demo-notebooks/blob/main/Create-Snowflake-Guides-with-AGENTS-md/AGENTS.md) as proposed herein combines this standard format with specific instructions from two official Snowflake resources:\n\n1. **[Get Started with Guides](https://www.snowflake.com/en/developers/guides/get-started-with-guides/)** - The official Snowflake Guides creation guide\n2. **[Markdown Template](https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/_markdown-template)** - The official template structure from the `sfquickstarts` repository\n\nWhile the official markdown template can be used directly to create guides, the AGENTS.md file adds additional value by including:\n\n- **AI-specific instructions** - Guidance for how AI assistants should process and convert documents\n- **Validation checklists** - Pre-publish verification steps to catch common errors\n- **Category reference tables** - Complete taxonomy analysis for automatically identifying the appropriate categories\n- **Best practices** - Apply best practices in the creation of guides\n- **Workflow automation** - Structured prompts and output formatting rules\n\n### What You'll Learn\n- How the AGENTS.md file structures the conversion process\n- The required metadata fields and their formats\n- How to organize content into the Snowflake Guides template\n- Best practices for code blocks, headers, and formatting\n- How to validate your generated guide\n\n### What You'll Build\nBy the end of this tutorial, you'll be able to:\n- Convert a Jupyter notebook into a publish-ready Snowflake Guide\n- Use the AGENTS.md file to guide AI assistants through the conversion process\n- Apply proper metadata, categories, and formatting to meet Snowflake's publishing standards\n\n### Prerequisites\n- Access to an AI assistant (Claude, ChatGPT, Cursor AI, or similar)\n- A Jupyter notebook to convert into a guide\n- Basic understanding of Markdown formatting\n\n\u003C!-- ------------------------ --\u003E\n## Understanding AGENTS.md\n\nThe AGENTS.md file is an instruction set that guides AI assistants through the Snowflake Guide conversion process. It contains:\n\n### Key Components\n\n| Component | Purpose |\n|-----------|---------|\n| **Agent Behavior** | What the AI should do on load |\n| **Template Structure** | The exact format to follow |\n| **Content Rules** | Formatting guidelines |\n| **Validation Checklist** | Pre-publish verification |\n\n### The Conversion Workflow\n\n```\n1. AI asks for author name\n2. AI asks for document to convert\n3. AI processes document:\n   - Extracts content hierarchy\n   - Matches categories\n   - Preserves code snippets\n   - Generates action-verb title\n4. AI outputs ZIP file:\n   - folder-name/\n   └── folder-name.md\n```\n\n\u003C!-- ------------------------ --\u003E\n## Anatomy of a Snowflake Guide\n\nThis section covers the key structural elements that make up a properly formatted Snowflake Guide.\n\n### Required Metadata Fields\n\nEvery guide begins with metadata. Here's what it looks like:\n\n#### Metadata Example\n\n```yaml\nauthor: Chanin Nantasenamat\nid: build-business-ready-queries-with-snowflake-semantic-views\ncategories: snowflake-site:taxonomy/solution-center/certification/quickstart, snowflake-site:taxonomy/product/analytics, snowflake-site:taxonomy/product/ai\nlanguage: en\nsummary: Learn how to create Semantic Views in Snowflake to simplify complex SQL queries and build business-friendly abstractions over your data.\nenvironments: web\nstatus: Published\nfeedback link: https://github.com/Snowflake-Labs/sfguides/issues\n```\n\n#### Metadata Fields\n\n| Field | Rule | Example |\n|-------|------|---------|\n| `author` | Ask user | `Chanin Nantasenamat` |\n| `id` | Lowercase, hyphens, matches filename AND folder | `build-business-ready-queries-with-snowflake-semantic-views` |\n| `categories` | From approved list, always include quickstart | See category tables in AGENTS.md |\n| `language` | Valid code: en, es, it, fr, ja, ko, pt_br | `en` |\n| `summary` | One sentence description | Brief overview of the guide |\n| `status` | `Published` or `Archived` | `Published` |\n\n### Content Structure\n\nThe official Snowflake Guides template defines the specific structure that every guide must follow:\n\n1. **Overview** (with subsections)\n   - What You'll Learn\n   - What You'll Build\n   - Prerequisites\n\n2. **Main Content Sections** (H2 headings)\n\n3. **Conclusion And Resources**\n   - What You Learned\n   - Related Resources\n\n#### Header Hierarchy\n\n```markdown\n## Main Section (H2) - Appears in right-side menu\n### Subsection (H3) - For detailed steps\n#### Sub-subsection (H4) - Maximum depth allowed\n```\n\n\u003E **Important:** Never go beyond H4 (`####`). Deeper headings won't render correctly.\n\n#### Example of Content Structure: Semantic View\n\n```markdown\n## Overview\n### What You'll Learn\n### What You'll Build\n### Prerequisites\n\n## About the TPC-DS Dataset\n### Traditional SQL vs Semantic SQL\n### Query Complexity Framework\n\n## Create Semantic Views\n\n## Traditional vs Semantic SQL\n\n## Simple Questions\n### Store Numbers in Tennessee\n### Customers with Dependents\n### Stores in Midway\n\n## Advanced Questions\n### Customer Count by State\n...\n\n## Conclusion And Resources\n### Question/Schema Complexity: Key Findings\n### Lessons Learned\n### What You Learned\n### Related Resources\n```\n\n### Category Selection\n\nCategories must come from the approved lists stored in AGENTS.md. Here's how the agent selects them:\n\n#### Content Type: Quickstart\n\n\"Quickstart\" is a content type category that must be included in every guide:\n\n```\nsnowflake-site:taxonomy/solution-center/certification/quickstart\n```\n\nOther content types include: Community Solution, Partner Solution, and Certified Solution.\n\n#### Match Content to Categories\n\nFor the Semantic View guide, we matched:\n\n| Content Keywords | Selected Category |\n|-----------------|-------------------|\n| \"Analytics\", \"queries\", \"SQL\" | `snowflake-site:taxonomy/product/analytics` |\n| \"Semantic Views\", \"AI-powered\" | `snowflake-site:taxonomy/product/ai` |\n\n#### Category Sources in AGENTS.md\n\n1. **Product Categories** - AI, Analytics, Data Engineering, Platform\n2. **Technical Use-Cases** - Ingestion, Transformation, Business Intelligence\n3. **Prioritized Features** - Cortex Analyst, Snowpark, Dynamic Tables\n4. **Industries** - Financial Services, Healthcare, Retail\n\n### Validation Checklist\n\nBefore finalizing, the agent runs the generated guide through this checklist provided in AGENTS.md:\n\n#### Pre-Publish Verification\n\n- [ ] Categories are from the approved list\n- [ ] ID is lowercase with hyphens (not underscores)\n- [ ] ID matches markdown file name (without .md extension)\n- [ ] ID matches the folder name containing the markdown file\n- [ ] Language tag is populated with valid code\n- [ ] Title starts with an action verb\n- [ ] Overview section includes all required subsections\n- [ ] Prerequisites includes Snowflake account signup link as first item\n- [ ] Conclusion starts with \"Congratulations! You've successfully...\"\n- [ ] No HTML is used in the markdown\n- [ ] All code snippets are preserved exactly\n- [ ] Headers do not exceed H4 (`####`)\n- [ ] H2 headings are 3-4 words max\n\n#### Example of Guide Validation: Semantic View\n\n| Check | Status |\n|-------|--------|\n| ID: `build-business-ready-queries-with-snowflake-semantic-views` | ✓ Lowercase, hyphens |\n| Folder: `build-business-ready-queries-with-snowflake-semantic-views/` | ✓ Matches ID |\n| File: `build-business-ready-queries-with-snowflake-semantic-views.md` | ✓ Matches ID |\n| Title: \"Build Business-Ready Queries...\" | ✓ Starts with action verb |\n| Prerequisites: Snowflake signup link first | ✓ Included |\n| Conclusion: \"Congratulations! You've successfully...\" | ✓ Correct format |\n\n### Export Format\n\nThe AGENTS.md specifies exactly how to package the generated guide.\n\n#### File Structure\n\n```\nbuild-business-ready-queries-with-snowflake-semantic-views/\n└── build-business-ready-queries-with-snowflake-semantic-views.md\n```\n\n#### Key Rules\n\n1. **Folder name** = `id` field value\n2. **File name** = `id` field value + `.md`\n3. **Package** = ZIP file containing the folder\n4. **Delivery** = Download ZIP file (i.e. depending on the AI assistant, it may only allow Copy/paste of file contents)\n\n\n\u003C!-- ------------------------ --\u003E\n## Complete Workflow Example\n\nLet's walk through how the Semantic View guide was created:\n\n### Step 1: Reference the agent file\n\nEnter the following into the chat box:\n```\n@AGENTS.md\n```\n\n### Step 2: Provide Author Name\n\nAfter a few moments, the AI will ask:\n```\nWelcome! I'll help you convert your document into a Snowflake Guide. Before we begin, please tell me:\n\nWhat is your name? (This will be used as the author)\n```\n\nI'll go ahead and enter my name:\n```\nChanin Nantasenamat\n```\n\n### Step 3: Provide Source Document\n\nNext, the AI asks:\n```\nPlease provide the document you'd like to convert into a tutorial.\n```\n\nI'll proceed with referencing the file by entering `@` followed by the Jupyter notebook filename (without spacing after the `@` character):\n```\n@build-business-ready-queries-with-snowflake-semantic-views.ipynb\n```\n\n### Step 4: AI Processes the Input Content\n\nThe AI performs the following tasks:\n- Extracted the notebook's content and structure\n- Identified 12 queries organized by complexity\n- Preserved all SQL code snippets exactly\n- Matched categories: Analytics, AI, Quickstart\n- Generated action-verb title: \"Build XYZ...\"\n\n### Step 5: Iterative Refinement\n\nAfter initial generation, we refined:\n- Added ASCII output examples for each query\n- Added \"Why it's simpler\" explanations\n- Added Query Complexity Framework section\n- Formatted SQL keywords with backticks (`JOIN`, `WHERE`, etc.)\n- Verified all documentation links are correct\n\n### Step 6: Final Validation\n\nRan through the validation checklist and confirmed all items passed.\n\n### Step 7: Output Delivery\n\nUpon completion, the AI will say:\n```\nI've generated your Snowflake Guide.\n```\n\nThis is followed by details of the generated guide:\n```\n### ✅ Tutorial Generated\n+----------------+---------------------------------------------------------------------+\n| Field          | Value                                                               |\n|----------------+---------------------------------------------------------------------|\n| **Author**     | Chanin Nantasenamat                                                 |\n| **Title**      | Build Business-Ready Queries with Snowflake Semantic Views          |\n| **ID**         | `build-business-ready-queries-with-snowflake-semantic-views`        |\n| **Categories** | Quickstart, Analytics, Business Intelligence, Interactive Analytics |\n| **Language**   | English (en)                                                        |\n+----------------+---------------------------------------------------------------------+\n\n### 📁 Files Created\n\nsemantic-view/\n├── build-business-ready-queries-with-snowflake-semantic-views/\n│ └── build-business-ready-queries-with-snowflake-semantic-views.md\n└── build-business-ready-queries-with-snowflake-semantic-views.zip\n\n### 📥 Download Location\n\nYour ZIP file is ready at:\nUsers/chanin/Documents/Cursor/semantic-view/build-business-ready-queries-with-snowflake-semantic-views.zip\n```\n\n\u003C!-- ------------------------ --\u003E\n## Best Practices\n\nHere are some key best practices:\n\n### The Notebook as Source of Truth\n\nThe input notebook serves as the **single source of truth** for generation of Snowflake Guides. A well-structured notebook contains two essential components that form the core of any guide:\n\n| Component | Purpose | Example |\n|-----------|---------|---------|\n| **Code Documentation** | Markdown cells explaining concepts, context, and expected outcomes | \"This query retrieves store information filtered by state...\" |\n| **Code Snippets** | Executable code cells with SQL queries, Python code, or configurations | `SELECT * FROM store WHERE s_state = 'TN'` |\n\nThe AI extracts both components from the notebook and transforms them into the guide format—documentation becomes explanatory prose, and code snippets are preserved exactly as written.\n\n**Example:** The Semantic View guide was generated from this Jupyter notebook:\n- [Snowflake_Semantic_View_Business_Ready_Queries](https://github.com/Snowflake-Labs/snowflake-demo-notebooks/tree/main/Snowflake_Semantic_View_Business_Ready_Queries) - Contains all SQL queries, markdown explanations, and expected outputs that became the guide content.\n\n### Content Fidelity (Preventing Hallucination)\n\nThe AGENTS.md enforces strict rules to prevent AI hallucination and ensure all content comes exclusively from the provided input notebook:\n\n| Rule | Description |\n|------|-------------|\n| **Document-only content** | Use ONLY content from the provided document; do not infer from external sources |\n| **Preserve code exactly** | Make NO changes to code snippets; preserve exactly as provided |\n| **Retain structure** | Maintain the hierarchical order of sections and sub-sections from the source |\n| **Deduce from document** | All content within template brackets `[ ]` must come directly from the provided document |\n\n**Why this matters:**\n- Ensures technical accuracy; AI won't invent SQL syntax or function names\n- Maintains consistency between the source notebook and the published tutorial\n- Prevents outdated or incorrect information from external sources\n- Makes fact-checking easier since all content is traceable to the source\n\n**Example:** If the source notebook shows a specific SQL query, that exact query must appear in the guide—not a \"cleaned up\" or \"improved\" version.\n\n### Fact-Checking Is Essential\n\nAfter AI generates the guide, fact-checking against official documentation is critical. The AGENTS.md includes explicit guidance for this in the Iteration section:\n\n**What to verify:**\n1. **Technical claims** - Verify SQL syntax, function names, and parameter descriptions against [Snowflake Documentation](https://docs.snowflake.com/)\n2. **Links** - Ensure all URLs in Related Resources are valid and point to current documentation\n3. **Terminology** - Confirm Snowflake-specific terms match official naming conventions\n\n**Example from Semantic View guide:**\n\nDuring fact-checking, we verified the `CREATE SEMANTIC VIEW` components against the official documentation:\n- Confirmed `FACTS` refers to row-level expressions (non-aggregated), not aggregates\n- Verified `METRICS` is the correct term for aggregate expressions (`SUM`, `COUNT`, `AVG`)\n- Updated links to point to current documentation URLs\n\n### Adding Images Post-Generation\n\nImages and screenshots can be added **after** the guide has been generated through:\n\n1. **Manual addition** - Capture screenshots and add them to the markdown with proper formatting:\n   ```markdown\n   ![description of image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/create-snowflake-guides-with-agents-md/image-name.png)\n   ```\n\n2. **Additional vibe coding rounds** - Ask the AI to suggest where images would be helpful and what they should show, then capture and add them\n\n**Image requirements from AGENTS.md:**\n- Naming: lowercase with hyphens (no underscores, no special characters)\n- Maximum file size: 1 MB (GIFs may be larger but should be optimized)\n- Format: PNG or JPG\n- Location: Place in an `assets/` folder within the guide directory\n\n### Formatting\n\n1. **Format SQL keywords** - Use backticks: `JOIN`, `WHERE`, `GROUP BY`\n2. **Keep H2 headings short** - 3-4 words maximum\n3. **Use tables for structured data** - Quick reference, comparisons\n4. **Add summaries** - Brief descriptions before/after code blocks\n\n### Documentation\n\n1. **Verify all links** - Check that documentation URLs are valid\n2. **Include multiple resource types** - Docs, quickstarts, GitHub repos\n3. **Add context** - Explain why each resource is relevant\n\n### Iteration\n\n1. **Review generated content** - AI may need corrections\n2. **Add missing context** - Output examples, explanations\n3. **Fact-check technical claims** - Verify against official docs\n\n\u003C!-- ------------------------ --\u003E\n## Publishing Your Work\n\nOnce your guide is validated and ready, submit it to the official Snowflake repositories on GitHub.\n\n### Submit Your Jupyter Notebook\n\n1. Fork the [snowflake-demo-notebooks](https://github.com/Snowflake-Labs/snowflake-demo-notebooks) repo\n2. Create a folder with your notebook name (use underscores, e.g., `Snowflake_Semantic_View_Business_Ready_Queries`)\n3. Add your `.ipynb` file and any supporting files\n4. Submit a Pull Request\n\n### Submit Your Guide\n\n1. Fork the [sfquickstarts](https://github.com/Snowflake-Labs/sfquickstarts) repo\n2. Navigate to `site/sfguides/src/`\n3. Extract your ZIP file (creates the folder with your markdown file)\n4. Submit a Pull Request\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion And Resources\n\nCongratulations! You've successfully learned how to use the AGENTS.md file to create Snowflake Guides. You now understand the complete workflow from providing a source document to generating a properly formatted, validated guide.\n\n### What You Learned\n- **AGENTS.md structure** - Metadata fields, content hierarchy, and category selection\n- **Source of truth** - Notebooks provide code documentation and snippets; content fidelity rules prevent hallucination\n- **Quality assurance** - Validation checklist and fact-checking against official docs\n- **Output & publishing** - ZIP packaging and GitHub submission workflow\n- **Post-generation** - Adding images via manual capture or additional AI rounds\n\n### Related Resources\n\nAGENTS.md:\n- [Snowflake Guides AGENTS.md](https://github.com/Snowflake-Labs/snowflake-demo-notebooks/blob/main/Create-Snowflake-Guides-with-AGENTS-md/AGENTS.md)\n- [AGENTS.md Guidelines](https://agents.md/) - The official specification for providing instructions to AI coding agents\n\nOfficial Snowflake Guides Resources:\n- [Get Started with Guides](https://www.snowflake.com/en/developers/guides/get-started-with-guides/) - Official guide for creating Snowflake Guides\n- [Snowflake Guides - Markdown Template](https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/_markdown-template) - Official template structure from `sfquickstarts` repository\n- [SFGuides on GitHub](https://github.com/Snowflake-Labs/sfguides) - Official Snowflake Guides repository\n- [Snowflake Documentation](https://docs.snowflake.com/) - Official Snowflake docs\n\nExample Guides:\n- [Build Business-Ready Queries with Snowflake Semantic Views](build-business-ready-queries-with-snowflake-semantic-views/) - The example guide used in this tutorial\n\nExample Notebooks:\n- [Snowflake_Semantic_View_Business_Ready_Queries](https://github.com/Snowflake-Labs/snowflake-demo-notebooks/tree/main/Snowflake_Semantic_View_Business_Ready_Queries) - The input notebook that was converted into the Semantic View guide\n- [Create Snowflake Guides with AGENTS.md](https://github.com/Snowflake-Labs/snowflake-demo-notebooks/tree/main/Create-Snowflake-Guides-with-AGENTS-md)\n\nPublishing Your Work:\n- [snowflake-demo-notebooks](https://github.com/Snowflake-Labs/snowflake-demo-notebooks) - Submit your input Jupyter notebooks here\n- [sfquickstarts](https://github.com/Snowflake-Labs/sfquickstarts) - Submit your generated guides here\n\nHappy creations!\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":items":{},":itemsOrder":[],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-9de6cd4269","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-e01c0bdca7",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-95a3d742bf","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-01-16",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-0f9490a31c","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake 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