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Glama

Related Servers

Alternatives to SuperSkill

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    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
      11 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.
      69 PyPI
      20
      MIT
    • A
      license
      Not graded
      quality
      F
      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.
      134
      MIT

    TDQS

    B3.1/5.0

    Scored across 52 tools

    Disambiguation2/5

    Many tools overlap in purpose: capture, extract, learn, decide, task, and brainstorm all store different knowledge artifacts, while status, stats, doctor, telemetry, hygiene_report, watchdog, resume, and session all report on project/session state. Descriptions help somewhat, but an agent faces multiple plausible choices for common actions like recalling context, recording knowledge, or checking health.

    Naming Consistency3/5

    Naming mixes single-word nouns and verbs (spec, tickets, gate, read, write) with prefixed snake_case families (worktree_*, skill_*, graph_*, knowledge_*). The groupings are readable, but there is no single consistent verb_noun pattern across all 52 tools.

    Tool Count1/5

    52 tools is far beyond the typical concise MCP surface and exceeds the rubric's 50+ extreme mismatch threshold. Even with broad knowledge, skill, worktree, and hygiene domains, this many tools creates a high selection burden and likely includes low-frequency operations better exposed as actions within fewer multiplexed tools.

    Completeness4/5

    The surface is extensive and covers most domains it names: vault read/write/search/link/capture/extract, skill install/list/remove/validate, worktree lifecycle, spec/ticket/evidence/gate workflows, graph traversal, and session coordination. Only minor gaps exist, such as explicit edit/delete operations for individual vault notes beyond deprecate/prune, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues