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awesome-student-ai-skills

awesome-student-ai-skills

by cuic19053-hue
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Python
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    TDQS

    A3.9/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a distinct role: listing templates, listing tracks, routing a query, fetching metadata, fetching data-collection requirements, generating a document, and simulating review. The only near-overlap is get_skill_info vs get_skill_requirements, but the descriptions clearly separate metadata/config from required-field checklists.

    Naming Consistency5/5

    All seven tools follow a consistent snake_case verb_noun pattern (list_*, route_*, get_*, generate_*, simulate_*). The naming is predictable and readable throughout.

    Tool Count5/5

    Seven tools is well-scoped for the domain: discovery, routing, requirements gathering, generation, and review are each covered by one or two tools. No tool feels redundant or missing at this count.

    Completeness4/5

    The set covers the core lifecycle from finding a track and gathering requirements to generating a .docx and simulating review. Minor gaps remain around explicitly editing/updating an already generated document or inspecting existing outputs, but agents can work around this by regenerating after review.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing

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