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xllm
xllm contient 4 skills collectées depuis xLLM-AI, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Review code changes for quality, security, performance, and correctness following project-specific standards. Use when reviewing pull requests, examining git diffs, or when the user asks for a code review. This skill should be used proactively — when the user asks for a review without specifying commits, automatically detect the current branch and diff against the main branch.
Add or update xLLM unit tests in the repository. Use when Codex needs to create a new C++/CUDA/NPU/MLU unit test, place a test under tests/, wire it into CMake with cc_test, update an existing test target, choose platform gates, or validate test naming and dependencies against current xLLM test conventions.
Use when the user wants to add, modify, debug, or review an xLLM TileLang Ascend kernel or specialization, including Python kernel definitions, generated Ascend-C source, runtime wrapper dispatch, TileLang CMake wiring, and NPU tests.
Use when the task involves Git operations for the public xLLM repository, including choosing branch or tag names, preparing commits and pull requests, backporting fixes, checking repo-specific review expectations, or drafting commit messages from actual diffs.