This automates the tedious work of keeping citation counts fresh in your documentation's best_practices.md file, specifically for the RAG and Agent research sections that filter papers with 100+ citations. It pulls updated counts from Semantic Scholar using the update_citation_counts.py script, which you'd run after fetch_popular_papers.py sets your baseline. The workflow is straightforward: fetch, update, review. One thing to note is that you'll still need to manually verify if papers should move around in the rankings or if Semantic Scholar's data looks off. It's narrowly scoped, so don't expect it to add new papers or reorganize your sections, just keep the numbers current.

GitHub stars
402
last updated
Jun 4, 2026

Install

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

Installs into .claude/skills of the current project.

Files

The script refreshes Semantic Scholar counts in place for the RAG Research and Agent Research sections (ranked by cite count >=100). It does not add papers.

.venv\Scripts\python.exe code/update_citation_counts.py --dry-run
.venv\Scripts\python.exe code/update_citation_counts.py

Afterwards, check section/best_practices.md and manually reorder entries if the ranking changed.

Sponsors

Details

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

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