Development skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

workflows-managed-workflows

Register and roll out managed workflows from a Kibana plugin using `@kbn/workflows-extensions` and `@kbn/workflows/managed`. Use when adding or modifying a code-owned workflow definition, `registerManagedWorkflowOwner`, `initManagedWorkflowsClient`, `install` / `uninstall` / `ready`, choosing `lifecycle` / `versionStrategy` / `enablement`, authoring `yaml` vs `yamlTemplate`, space-scoped vs global installs, `getWorkflowStatus`, or `execute`, or reviewing PRs that touch managed workflow definitions or rollout. Always ask for the user's plugin id first to locate the correct plugin and definition file paths.

21.18k repo starsObserved in 1 repos
Development
GitHub

add-function-body

Add a function body definition to an ONNX operator, defining how it decomposes into simpler ops. Use when asked to make an op decomposable, add a FunctionBody, implement SetContextDependentFunctionBodyBuilder, or express an op in terms of other ONNX operators.

21.15k repo starsObserved in 1 repos
Development
GitHub

add-op

Add a new ONNX operator or update an existing operator to a new opset version. Use when asked to define an operator schema, register an op, add inputs/outputs/attributes to an op, move an op to old.cc, or bump an op's opset version.

21.15k repo starsObserved in 1 repos
Development
GitHub

add-shape-inference

Add or update type and shape inference for an ONNX operator. Use when asked to implement TypeAndShapeInferenceFunction, propagate shapes, add shape inference tests, fix shape inference bugs, or handle broadcasting logic.

21.15k repo starsObserved in 1 repos
Development
GitHub

onnxtxt

Read or write ONNX text format ("onnxtxt"). Use when authoring `.FunctionBody(R"ONNX(...)")` blocks, writing tests with `onnx.parser.parse_model` / `parse_graph`, using the C++ `OnnxParser`, debugging parser errors, or interpreting `Constant <value = ...>` and body-subgraph syntax.

21.15k repo starsObserved in 1 repos
Development
GitHub

resolve-backport

Resolve merge conflicts in Vitess backport PRs. Use when asked to resolve a backport, fix backport conflicts, or given a backport PR URL/number.

21.14k repo starsObserved in 1 repos
Development
GitHub

add-config-param

Step-by-step guide for adding a new configuration parameter to NetBox, covering both static parameters (settings.py) and dynamic parameters (database-backed, editable via the admin UI). Use when the user asks to add a new configuration option, setting, or parameter to NetBox.

21.10k repo starsObserved in 1 repos
Development
GitHub

cuda-attention-kernel-patterns

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.

21.09k repo starsObserved in 1 repos
Development
GitHub

cuda-cutlass-fmha-incremental-rebuild

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.

21.09k repo starsObserved in 1 repos
Development
GitHub

onnx-opset-bump-checklist

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.

21.09k repo starsObserved in 1 repos
Development
GitHub