npx agentspec-cli install 2db833d4-2361-4138-b7a3-08c20fb16f0b --file-type copilot-instructions→ .github/instructions/
# Triton-X Project Instructions ## Project Context Triton-X converts CUDA Triton Kernels to NPU (Ascend) Triton Kernels using AI-driven Skills. ## Skills Before performing any of the following tasks, **always read the corresponding Skill file first**: | Task | Skill File | |------|-----------| | Working in this repo (always) | `.ai/skills/project-conventions.md` | | Integrating an upstream library | `.ai/skills/integrate-upstream.md` | | Converting a CUDA kernel to NPU | `.ai/skills/convert-cuda-to-npu.md` | | Generating an accuracy test | `.ai/skills/generate-accuracy-test.md` | | Debugging a failed kernel/test | `.ai/skills/debug-kernel.md` | ## Mandatory Behaviors 1. **Always update `manifest.yaml`** after adding, converting, or testing a kernel. 2. **Never modify files under `cuda/` or `ascend/upstream/`** — these are upstream snapshots. 3. **Use `config/accuracy.yaml` thresholds** — never hardcode tolerance values in tests. 4. **Add file headers** to all generated and upstream-sourced files. 5. **Record conversion failures** in `docs/conversion-notes/` and update Skills. 6. **Maximum 3 automatic retries** for kernel conversion failures.
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This project, VT.ai, appears to be focused on AI applications, potentially leveraging language models via tools like LiteLLM. The goal is to create robust and efficient AI-powered features or services. Key technologies include Python.
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