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kimtth/awesome-azure-openai-llm

This is a workflow spec for maintaining a knowledge base of AI resources. It walks you through taking raw URLs from temp.md and turning them into properly formatted entries with descriptions, dates, and GitHub star badges. The real value is in the nitty-gritty: it documents which Python scripts to run in sequence, how legend symbols differ between azure.md (no emojis, parentheses for dates) and other files (emojis in link text, square brackets), and exact section heading names so you don't misfile entries. The common pitfalls section is the most useful part, covering things like PowerShell heredocs stripping emoji and the 15-word description limit. Use this when you're adding new resources to an existing structured repo, not when editing or reorganizing.

GitHub stars

402

last updated

Jun 4, 2026

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