MinerU vs Skill_Seekers

Side-by-side comparison of two AI agent tools

Short answer

  • MinerU is growing faster: +3,732 GitHub stars in the last 30 days vs +350 for Skill_Seekers.
  • Pick MinerU for: transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows. Pick Skill_Seekers for: convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict.

From GitHub data refreshed daily.

MinerUfree

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

S
Skill_Seekersopen-source

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

Metrics

MinerUSkill_Seekers
Stars81.0k15.1k
Star velocity /mo3.7k350
Commits (90d)905110
Releases (6m)108
Downloads (30d, npm + PyPI)96.9K17.7K
Overall score0.87967997966343580.6782102447520774

Pros

  • +专门针对 LLM 优化的输出格式，确保转换后的 Markdown/JSON 能够被 AI 模型高质量理解和处理
  • +支持复杂 PDF 文档的结构化解析，保持表格、图像和文本布局的完整性
  • +提供 Python SDK 和 Web 应用双重接口，既适合程序化集成也支持交互式使用

    Cons

    • -主要专注于 PDF 处理，对其他文档格式的支持可能有限
    • -复杂文档的处理质量可能依赖于原始文档的质量和结构清晰度
    • -大规模批量处理时可能需要考虑计算资源和处理时间的平衡

      Use Cases

      • •构建 RAG（检索增强生成）系统时，将企业内部 PDF 文档转换为向量数据库可索引的格式
      • •为 AI 代理开发智能文档分析功能，自动提取和结构化合同、报告中的关键信息
      • •建立知识管理系统，将历史文档资料转换为可搜索和可查询的结构化数据
        View MinerU DetailsView Skill_Seekers Details

        FAQ

        Which is more popular, MinerU or Skill_Seekers?
        MinerU has more GitHub stars (81,025 vs 15,094).
        Which is more actively developed, MinerU or Skill_Seekers?
        MinerU had more commits in the last 90 days (905 vs 110).
        Should I use MinerU or Skill_Seekers?
        Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.