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Skills/Testing & QA
kimtth avatar

Update Llm Pool

kimtth/awesome-azure-openai-llm

This is the maintenance workflow for a living bibliography of high-citation LLM papers pulled from Semantic Scholar and rendered as a numbered markdown list.

GitHub stars
402
last updated
Jun 4, 2026
View on GitHubSave

Install

$ npx -y skills add kimtth/awesome-azure-openai-llm --skill update-llm-pool --agent claude-code

Installs into .claude/skills of the current project.

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What it does

It covers 36 topic areas from RLHF to GraphRAG, with checkpoint-based resumption when you hit rate limits mid-fetch. The workflow handles full refreshes when citation counts go stale, targeted updates for specific topics, and local re-annotation when you just need to recompute topic tags without burning API calls. The source shows careful thought around API etiquette with jitter and delay flags, plus a git-backed annotation mode for rebuilding from committed state. Use this when you're maintaining a research landscape document and need systematic refresh cycles, not for one-off paper additions.

Files

Select a file.

Details

Repository
github.com/kimtth/awesome-azure-openai-llm
Categories
Testing & QA, AI & Agent Building, Automation & Workflows, Cloud & Infrastructure
First seen
Jun 11, 2026

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