kernelgen-flagos — Unified GPU Operator Generation Skill

This is a unified entry point that bundles generation and optimization sub-skills into one:

Sub-skill file	Purpose
Generation
`kernelgen-generate.md`	Generate GPU kernels for any Python/Triton repository
`kernelgen-generate-for-flaggems.md`	Specialized generation for FlagGems repositories
`kernelgen-generate-for-vllm.md`	Specialized generation for vLLM repositories
Optimization
`kernelgen-optimize.md`	Optimize existing Triton kernels via MCP iterative optimization (general purpose)
`kernelgen-optimize-for-flaggems.md`	Optimize Triton operators and integrate into FlagGems (3 modes: built-in/external/experimental)
`kernelgen-optimize-for-vllm.md`	Optimize Triton operators and integrate into vLLM (with CustomOp registration)
Platform Specialization
`kernelgen-specialize.md`	Specialize Triton operators to target platforms (e.g., GPU → Ascend NPU) via MCP `specialize_kernel`
`kernelgen-specialize-for-flaggems.md`	Platform specialization + FlagGems integration (4 modes: vendor-ops/vendor-fused/override-builtin/experimental)
Feedback
`kernelgen-submit-feedback.md`	Submit bug reports and feedback via GitHub or email