Update this GraphRAG uv-workspace monorepo's dependencies and repair the resulting breakages so every check and test passes again. Use when asked to update, upgrade, or bump dependencies/packages/versions, refresh or regenerate the lockfile, migrate to a new major of pandas/numpy/pydantic/pyarrow, resolve dependency-related test or lint failures, or run a "dependency sweep" — even if the user only names a single package. Covers editing pyproject.toml version specifiers across the root dev-deps and every packages/* member, re-locking with uv, and fixing code and tests for library API changes (e.g. pandas 3.0). USE FOR: update dependencies, upgrade packages, bump versions, dependency sweep, uv lock, uv sync, refresh lockfile, migrate pandas/numpy, "deps broke the tests", pyproject bump.
Analyze collected vcpkg CI failure evidence, classify regressions and known failures, identify root causes, recommend actions, and generate a report by package and triplet.
Audit a vcpkg port locally. Reads the port metadata and build recipe, installs the port, inspects extracted sources and installed files, and produces a report covering license risks, vendored code, optional dependencies, and other port review suggestions.
Fetch vcpkg Azure DevOps metadata, failed-step logs, and selected artifacts. Use for acquiring CI evidence, not diagnosing or reporting regressions; use analyze-ci-failures for those tasks. Skip when supplied logs are sufficient.
Address findings in an existing report produced by review-vcpkg-pr or review-vcpkg-prs-today, then push fixes for the user to submit to the contributor. Use only for follow-up fixes to those reviews, including batches. Do not use for generic bug fixes, issue resolution, or PRs without an existing review report. Never open a PR.
Review open non-draft microsoft/vcpkg pull requests updated in the last 30 days. Use when asked for batch triage, per-PR review reports, an index grouped by verdict, or grouping competing PRs that modify the same port.
Audit and fix out-of-range output writes in ONNX Runtime operator shape-inference functions. Use when reviewing or fixing a contrib (or standard) op TypeAndShapeInference where a getNumOutputs() guard precedes a write to a higher output index - optional trailing outputs make a smaller output count schema-valid, so getOutputType(index) can run one past the declared outputs at Graph::Resolve.
Patterns and pitfalls for the ONNX domain Attention operator (opset 23/24) CUDA implementation. Use when modifying the dispatch cascade in core/providers/cuda/llm/attention.cc, writing mask/bias CUDA kernels, debugging attention test routing, or adding features to the ONNX Attention op. NOT for contrib domain MultiHeadAttention/GroupQueryAttention.
Use when rebuilding ONNX Runtime CUDA after editing CUTLASS fused-MHA headers (onnxruntime/contrib_ops/cuda/bert/cutlass_fmha/*.h such as kernel_forward.h or fmha_launch_template.h), or when a header edit "passed" an incremental build but test behavior did not change. Explains the nvcc depfile gotcha that produces stale Memory-Efficient-Attention (MEA) kernels and binaries, and how to force a correct recompile. Also covers disk-space frugality on shared GPU dev boxes.
Step-by-step checklist for bumping the pinned ONNX dependency / opset in ONNX Runtime (e.g. ONNX 1.21 / opset 26 → 1.22 / opset 27). Use when integrating a new ONNX release or release-candidate, updating the cmake/deps.txt onnx pin or the cmake/external/onnx submodule, regenerating cmake/patches/onnx/onnx.patch, raising kMaxSupportedOpset, or adding a new opset's CPU kernels. Covers the file taxonomy, archive-hash procedures, patch rebase/mirror rules, the RC→formal strategy, and the optimizer/EP gotchas that the automated audit script misses.
Trigger, re-run, and unblock ONNX Runtime CI checks on a GitHub pull request. Use this skill when a required check is stuck, missing, failed, or needs re-running. Nearly all ORT CI runs as GitHub Actions workflows; only the "Linux Android Emulator QNN CI Pipeline" remains on Azure Pipelines, plus the bot-driven "license/cla" and "Python format" lint checks. Triggers on: rerun CI, retrigger checks, stuck check, missing pipeline, failed CI, license/cla, Python format failure, Doc Gen CI failure, operator docs out of date, /azp run.
Draft ONNX Runtime release notes using preset configurations for full ORT or scoped component releases. Use when generating highlights with PR links, compiling human contributor acknowledgments from compile_contributors.py output, and applying preset path filtering.
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