LlamaHub vs Skill_Seekers

Side-by-side comparison of two AI agent tools

LlamaHubopen-source

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

S
Skill_Seekersopen-source

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

Metrics

LlamaHubSkill_Seekers
Stars3.5k15.1k
Star velocity /mo-2.4064171122994651.3k
Commits (90d)0112
Releases (6m)08
Overall score0.115292173552247270.7063764383146335

Pros

  • +Extensive community-contributed collection of data loaders and integrations for popular LLM frameworks
  • +Simplified data ingestion with ready-to-use connectors for major platforms like Google Workspace, Notion, and Slack
  • +Well-documented examples and Jupyter notebooks demonstrating real-world data agent implementations

    Cons

    • -Repository is archived and read-only, with no new development or maintenance
    • -All functionality has been migrated to the main llama-index repository, making this version obsolete
    • -Installation may be deprecated as the PyPI package redirects users to the updated implementation

      Use Cases

      • •Legacy projects that need to maintain compatibility with older LlamaIndex versions
      • •Learning from historical examples of data loader implementations and patterns
      • •Understanding the evolution of LlamaIndex's integration ecosystem before consulting current documentation

        FAQ

        Which is more popular, LlamaHub or Skill_Seekers?
        Skill_Seekers has more GitHub stars (15,059 vs 3,460).
        Which is more actively developed, LlamaHub or Skill_Seekers?
        Skill_Seekers had more commits in the last 90 days (112 vs 0).
        Should I use LlamaHub or Skill_Seekers?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.
        LlamaHub vs Skill_Seekers (2026): GitHub Stats, Features & Which to Choose