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Glama

Related Servers

Alternatives to SuperSkill

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to manage, search, plan, and execute reusable skills while automatically enforcing always-on coding and reasoning guidelines. It provides workflow orchestration, permission-controlled execution, dynamic skill registration, and feedback-based ranking.
      9
      6 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Provides dynamic, context-aware code assistant skills through hybrid RAG (vector + knowledge graph), enabling runtime skill discovery, automatic toolchain-based recommendations, and on-demand loading from multiple git repositories.
      20
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to intelligently match tasks to skills through semantic embeddings, track skill effectiveness, detect skill gaps, and discover new skills from external sources.
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to search and retrieve over 89K skills on-demand at runtime, eliminating the need to manually install skills upfront.
      29 PyPI
      132
      MIT

    TDQS

    B3.3/5.0

    Scored across 33 tools

    Disambiguation3/5

    Most tools have distinct purposes, but several pairs blur together: qa_viz redoes knowledge_viz's HTML generation, graph_cross_project reads like a search tool rather than a cross-project graph tool, and capture/learn/extract all create vault items. The descriptions are detailed enough to disambiguate many cases, but a few boundaries are genuinely unclear.

    Naming Consistency3/5

    All names use snake_case and are readable, but there is no consistent verb_noun or noun_verb convention: generate_context/search are verb-led, skill_install is noun+verb, skill_list_installed reverses the pattern, and status/task/template are bare nouns. qa_viz and superskill add product-specific abbreviations/names that don't fit the rest.

    Tool Count2/5

    33 tools is too many for a single server's tool surface; the set spans knowledge vault CRUD, graph visualization, skill management, sessions, env facts, and rollback checkpoints. Several tools could be consolidated (knowledge_viz/qa_viz) or split into separate servers, and the volume makes selection harder.

    Completeness4/5

    The surface covers creation, reading, updating (via write), archival/deletion (prune/deprecate), plus specialized lifecycle tools for skills, sessions, tasks, and learnings. Notable minor gaps include no dedicated skill update, no unlink, and no explicit list/query for decisions, though search/read can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues