Distilly vs Skills

Side-by-side comparison of two AI agent tools

D
Distillyopen-source

Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill(原同事 Skill).

Skillsfree

Public repository for Agent Skills

Metrics

DistillySkills
Stars25.2k179.2k
Star velocity /mo2.1k26.3k
Commits (90d)3114
Releases (6m)00
Overall score0.58241562711531260.6841433824267594

Pros

    • +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

    Cons

      • -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

      Use Cases

        • •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

        FAQ

        Which is more popular, Distilly or Skills?
        Skills has more GitHub stars (179,159 vs 25,175).
        Which is more actively developed, Distilly or Skills?
        Distilly had more commits in the last 90 days (31 vs 14).
        Should I use Distilly or Skills?
        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.