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    moai-domain-ml

    kivo360/moai-domain-ml
    AI & ML
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    SKILL.md

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    About

    Machine learning model training, evaluation, deployment, and MLOps workflows.

    SKILL.md

    Domain Ml Skill

    Skill Metadata

    Field Value
    Skill Name moai-domain-ml
    Version 2.0.0 (2025-10-22)
    Allowed tools Read (read_file), Bash (terminal)
    Auto-load On demand when keywords detected
    Tier Domain

    What It Does

    Machine learning model training, evaluation, deployment, and MLOps workflows.

    Key capabilities:

    • ✅ Best practices enforcement for domain domain
    • ✅ TRUST 5 principles integration
    • ✅ Latest tool versions (2025-10-22)
    • ✅ TDD workflow support

    When to Use

    Automatic triggers:

    • Related code discussions and file patterns
    • SPEC implementation (/alfred:2-run)
    • Code review requests

    Manual invocation:

    • Review code for TRUST 5 compliance
    • Design new features
    • Troubleshoot issues

    Tool Version Matrix (2025-10-22)

    Tool Version Purpose Status
    PyTorch 2.5.0 Primary ✅ Current
    TensorFlow 2.18.0 Primary ✅ Current
    MLflow 2.19.0 Primary ✅ Current

    Inputs

    • Language-specific source directories
    • Configuration files
    • Test suites and sample data

    Outputs

    • Test/lint execution plan
    • TRUST 5 review checkpoints
    • Migration guidance

    Failure Modes

    • When required tools are not installed
    • When dependencies are missing
    • When test coverage falls below 85%

    Dependencies

    • Access to project files via Read/Bash tools
    • Integration with moai-foundation-langs for language detection
    • Integration with moai-foundation-trust for quality gates

    References (Latest Documentation)

    Documentation links updated 2025-10-22


    Changelog

    • v2.0.0 (2025-10-22): Major update with latest tool versions, comprehensive best practices, TRUST 5 integration
    • v1.0.0 (2025-03-29): Initial Skill release

    Works Well With

    • moai-foundation-trust (quality gates)
    • moai-alfred-code-reviewer (code review)
    • moai-essentials-debug (debugging support)

    Best Practices

    ✅ DO:

    • Follow domain best practices
    • Use latest stable tool versions
    • Maintain test coverage ≥85%
    • Document all public APIs

    ❌ DON'T:

    • Skip quality gates
    • Use deprecated tools
    • Ignore security warnings
    • Mix testing frameworks
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    Repository
    kivo360/quickhooks
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