Which is more popular, Docling or Skills?

Skills has more GitHub stars (179,472 vs 68,329).

Which is more actively developed, Docling or Skills?

Docling had more commits in the last 90 days (357 vs 14).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Skills is growing faster: +25,889 GitHub stars in the last 30 days vs +1,850 for Docling.
Pick Docling for: get your documents ready for gen AI. Pick Skills for: public repository for Agent Skills.

From GitHub data refreshed daily.

Doclingopen-source

Get your documents ready for gen AI

Public repository for Agent Skills

+Advanced PDF understanding with layout analysis, table structure recognition, and reading order detection
+Supports wide variety of document formats including office documents, images, audio, and markup languages
+Unified DoclingDocument representation simplifies integration with AI workflows and downstream processing

+Official Anthropic implementation provides reliable, well-tested skill patterns and best practices for Claude AI development
+Extensive collection covering diverse domains from creative tasks to enterprise workflows, offering immediate practical value
+Self-contained modular design allows easy customization and extension of existing skills for specific organizational needs

-Processing complex documents with advanced features may require significant computational resources

-Skills are Claude-specific and may not be directly portable to other AI agents or platforms
-Some skills are source-available only (not open source), limiting modification rights for certain components
-Repository serves primarily as demonstration material, requiring thorough testing before production deployment

•Converting research papers and technical documents into AI-ready formats for RAG applications
•Extracting structured data from business documents like invoices, contracts, and reports for automation
•Preparing diverse document collections for training or fine-tuning language models

•Enterprise teams standardizing AI workflows with consistent document creation, branding, and communication processes
•Developers building Claude-powered applications needing reference implementations for complex multi-step tasks
•Organizations creating custom AI skills who need proven architectural patterns from Anthropic's production implementations

Which is more popular, Docling or Skills?: Skills has more GitHub stars (179,472 vs 68,329).
Which is more actively developed, Docling or Skills?: Docling had more commits in the last 90 days (357 vs 14).
Should I use Docling or Skills?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.