tt-mlir

Uplift the TTSim version used by tt-mlir CI and refresh WH/BH simulator skips. Use when updating `.github/workflows/call-test-ttsim.yml`, changing `ttsim-version`, validating WH or BH TTSim golden tests, or triaging simulator-specific pytest skips.

How to add a new operation (op) to the tt-mlir compiler across all layers: TTIR/TTNN dialect definitions, StableHLO composite conversion, TTIR-to-TTNN conversion, EmitC/EmitPy conversions, flatbuffer schema and serialization, runtime implementation, OpModel, ttir_builder, golden functions, and all associated tests. Use this skill whenever the user asks to add an op, implement an op, create a new operation, add support for a TTNN op, or mentions adding an op to the compiler pipeline. Also trigger when the user wants to know what files to change for a new op, or asks about the op-adding workflow.

Given a `.mlir` file (or a directory of `.mlir` files) with TTIR ops, run the same TTIR normalization passes as `D2MFrontendPipeline` before D2M, then produce per-file outputs: `preprocessed.mlir`, `ttir-op-report.txt` (op counts from normalized IR), and `ops.mlir` (one func per unique op configuration, golden-style). Optional: per-pass IR dumps.

Add a new composite op decomposition pattern to the TTMetal pipeline. Use when the user wants to decompose/lower a high-level TTIR op (e.g. rms_norm, sdpa, layer_norm, softmax) into primitive TTIR ops (matmul, add, multiply, etc.) for the D2M/TTMetal backend. Also trigger when the user mentions "decomposition pattern", "decompose op for ttmetal", or "lower op to primitives".

Compile and optionally execute every func.func in an ops.mlir-style snippet file (or every .mlir file in a directory) using `run_ops_mlir_snippets.py`. Use when the user wants to compile or run TTIR op snippets on device, test ops.mlir files, or check which ops compile/execute successfully.

Elementwise TTIR→D2M→TTMetal path: tablegen, TTIRToD2M.cpp, D2MToTTKernel.cpp, and — only when the kernel API callee is new — TTKernelIncludesMap.h (per-op api/compute/eltwise_unary/*.h mapping for JIT). Does not edit D2MGenericRegionOps.cpp or TTKernelToCpp.cpp. Not for reductions, matmul, views, or CCL.

Validate a tt-mlir PR against tt-xla by creating a cherry-picked branch and triggering CI. Invoked as: /validate-tt-mlir-against-tt-xla <PR number or URL>. Use this skill whenever the user wants to test, validate, qualify, or check a tt-mlir PR in tt-xla, or mentions running uplift qualification test suite, or asks to trigger tt-xla CI for a tt-mlir change. Also triggers when the user mentions "xla validate", "xla test", or "validate in xla".

Add full builder API support (@tag, @parse, @split) for a TTIR op. Use this skill whenever the user wants to add builder support for a new TTIR op, upgrade an existing _op_proxy-based op to use @tag/@parse/@split decorators, or asks about how to add builder API for an op in ttir_builder.py. Also trigger when the user mentions adding tag/parse/split for an op, or wants to make an op work with the parse/split test infrastructure.