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Trackdub

github.com/MesilimLLC/Trackdub

SkillAddedReview
code-review

.github/skills/code-review/SKILL.md

Review pull requests in the Trackdub public core (Mesililm-LLC/Trackdub). Use for Copilot code review, PR review, architecture checks, dependency-direction violations, model/license safety, fake readiness, runtime planner routing, and honest test evidence. Prefer this skill whenever reviewing diffs, pull requests, or suggesting review comments in this repository.

76

gh-stack

.claude/skills/gh-stack/SKILL.md

Manages stacked PRs and splits multi-part work into reviewable branches with gh-stack. Use for stack creation, viewing, edits, push, submit, sync, rebase, merge, or checkout; when asked to split or isolate work for review; whenever a user mentions a stack, branch layers, dependent PRs, or gh stack; or when a stack is checked out.

78

trackdub-media-cleanup

.claude/skills/trackdub-media-cleanup/SKILL.md

Diagnose and verify media cleanup in Trackdub projects.

56

windows-ml

.claude/skills/windows-ml/SKILL.md

Windows ML (WinML, Microsoft.Windows.AI.MachineLearning) guidance in three evidence tiers - Microsoft Learn canon, ONNX Runtime/GenAI source and NuGet facts, and dated Trackdub observations. Use whenever work touches Windows ML or WinML, ExecutionProviderCatalog, EnsureReadyAsync/TryRegister, GetEpDevices, execution provider selection or registration, onnxruntime.dll conflicts, Microsoft.ML.OnnxRuntimeGenAI.WinML, DirectML availability, EP-context compilation, or a Windows ML / ONNX Runtime upgrade, even when the user only says "DirectML is broken" or "why doesn't the NPU show up".

64

windows-ml

.agents/skills/windows-ml/SKILL.md

Windows ML (WinML, Microsoft.Windows.AI.MachineLearning) guidance in three evidence tiers. Tier 1 is canonical Microsoft Learn documentation. Tier 2 is ONNX Runtime / ONNX Runtime GenAI source and NuGet package facts. Tier 3 is Trackdub's own dated observations. Covers model setup, all Windows ML execution providers (CPU, DirectML, OpenVINO, QNN, VitisAI, MIGraphX, NvTensorRtRtx, experimental WebGPU), deployment, ExecutionProviderCatalog install and registration, OrtEpDevice selection, EP-context compilation and caching, ONNX Runtime GenAI on Windows ML, and diagnostics. Use whenever work touches Windows ML or WinML, ExecutionProviderCatalog, EnsureReadyAsync/TryRegister, GetEpDevices, onnxruntime.dll conflicts, Microsoft.ML.OnnxRuntimeGenAI.WinML, DirectML availability, or a Windows ML / ONNX Runtime upgrade, even when the user only says "DirectML is broken" or "why doesn't the NPU show up".

72

xerj

.claude/skills/xerj/SKILL.md

Definition-first code search over locally indexed repos (xerj search / xerj def)

60