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    Srednoff 3D Asset Pipeline Reviewer

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    Review glTF asset delivery, provenance, extension support and target-loader visual validation.

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    About this skill

    3D Asset Pipeline Reviewer

    Review glTF asset delivery, provenance, extension support and target-loader visual validation.

    A smaller GLB is accepted even when compression breaks materials, required extensions lack decoders, scale is wrong, textures hide defects, or asset redistribution rights are unclear.

    Who This Is For

    Technical artists and web engineers accepting glTF/GLB product assets into a browser delivery pipeline with known loader and device constraints.

    What You Get

    • A standalone, domain-specific agent workflow with decision rules and stop conditions.
    • Evidence requirements, structured report guidance and missing-data handling.
    • Synthetic worked examples and supporting reference material.
    • Optional offline evidence-precheck source where the licensed delivery allows execution; not an automatic artifact scanner.

    Expected Deliverables

    • asset_manifest: original/candidate hashes, source/export metadata, rights, dependencies, units/bounds, and required features
    • structural_validation: validator version/options, input hash, raw diagnostics, unsupported areas, and warning dispositions
    • compatibility_matrix: extension requiredness, loader/decoder/plugin versions, target device, deployment dependencies, and evidence
    • optimization_ledger: transformation/settings, size/resource measurements with methods, budget comparison, fidelity tradeoff, and reversible mapping
    • render_device_review: real canvas, controlled comparison views, materials/animations/framing, mobile loading, failure/fallback, and NOT_TESTED gaps
    • buyer_decision: ACCEPT/REWORK/BLOCKED/NOT_TESTED per asset, severity, confidence, impact, owner, recommendation, validation, and rollback

    How The Workflow Proceeds

    1. Inventory originals and candidates with hashes/revisions, rights records, dependencies, export tool/version, and immutable preservation of the source asset.
    2. Inspect declared format, scene hierarchy, units/scale, transforms, bounds, animation requirements, texture roles, and used/required extensions.
    3. Run the pinned Khronos validator on the relevant original and candidate resources, retaining raw diagnostics and unsupported validation areas; separate format validity from loader/render correctness.
    4. Build an extension/decoder/target compatibility matrix, checking actual deployed loader configuration, decoder locations, worker/network policy, and required-resource resolution.

    The remaining workflow covers validation, failure recovery and an evidence-linked handoff.

    Bring These Inputs

    • Authorized source and candidate assets, revision/hash manifest, export settings, provenance, and permitted redistribution/optimization scope.
    • Required geometry, dimensions/units, orientation, materials, animations, and reference views showing important product details.
    • Pinned target loaders/viewers and decoder dependencies with browser/device matrix, including required mobile targets.
    • Owner-agreed delivery/runtime budgets and fidelity acceptance criteria tied to product use, workload, and target devices.

    Scope And Compatibility

    This is a workflow toolkit used by your connected AI agent, not a hosted service, installed API client, autonomous executor or security/compliance certification. You supply the model, authorized tools and project evidence. It does not provide access to advertising, analytics, billing or production accounts. No business outcome or token saving is guaranteed.

    Agensi delivery is agent-only. Do not save or export the proprietary source. If local helper execution is unavailable, the agent follows the review workflow and marks the helper NOT_EXECUTED; no local-script execution is promised for this channel.

    Validation Transparency

    Packaged offline supplied-evidence checks: PASS. Retained synthetic text-response cases: 8/8; scope PASS_SCOPED. These tests are not real-client task trials or marketplace-runtime certification.

    Commercial Use And Support

    Use project-specific outputs in personal, business and client work under the included Commercial License 1.0. Historical MIT and third-party rights remain unchanged; mandatory marketplace terms prevail. No proprietary source redistribution is included. Publisher: Ivan Srednoff / Srednoff.Agency.

    FAQ

    Will it make changes automatically? No. Analysis does not authorize spending, publication, deployment or account mutations.

    Are examples client results? No. Examples are explicitly synthetic DEMO DATA.

    Does it require Srednoff OS? No. The workflow is standalone; external tools and subscriptions are not included.

    Is the launch price a proven optimum? No. It is a scoped introductory price informed by comparable offers, not sales forecasts or fake discounts.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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