Find the top 20 GitHub repos by total stars that do book/paper ingestion — preferably transforming them into skills or mind maps — avoiding repos with the same features. For each: its 5 main features, and 10 bullets covering Windows 11 install, LLM integration, and 3 examples of use increasing in difficulty.
The shortlist covers 20 feature-diversified repositories — one row per project — with current GitHub API stargazer counts gathered 2026-10-08, ranging from 176,826 to 2,803 stars. Discovery merged 2,599 unique web results; 30 likely finalists received live GitHub API checks; projects with overlapping roles were cut so each entry plays a distinct part. Three transform content into the preferred outputs: book-to-skill compiles books into Agent Skills, qiaomu-anything-to-notebooklm makes mind maps and study artifacts, and Paper2Any produces editable figures, slides, and knowledge-base mind maps.
Bar length = current total GitHub stars. Colour marks the transformation emphasis: black = turns content into skills, mind maps, or knowledge graphs; grey = ingestion, parsing, or RAG. Hover or tap a bar for the repo's role and tags; click to jump to its card.
Each card gives the role badge, five features, and ten numbered Windows 11 / LLM-integration steps ending in three examples of rising difficulty. Examples are suggested workflows derived from each project's stated purpose, not claims copied from upstream.
| # | Repository | Stars | Distinct role | Tags | Lang | Updated | Source |
|---|
Method: 20 GitHub repositories for book/paper/PDF/EPUB ingestion, one row each, ranked by live GitHub API stargazer counts taken 2026-10-08; stars are volatile snapshots, not quality scores. Discovery merged 2,599 unique web results; 30 finalists got live API checks; generic frameworks and near-duplicate feature sets were excluded. Evidence spans 11 independent source hosts; no single URL backs more than 2 of the 20 rows (10%). Windows guidance preserves upstream commands where published; where upstream gives no native Windows recipe, Docker Desktop or WSL2 is recommended and that gap is stated. Examples are conservatively derived suggested workflows. Long feature and command text was shortened for space.