菜单
Update scripts/py/requirements.json entries (URLs + sha256sum) for models/tools, validate hash changes, and keep downloads deterministic without committing artifacts. Use when adding or refreshing model/tool downloads.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Add or revise a model configuration JSON under model_configuration_files/ and ensure it is exercised by CTest (test/CMakeLists.txt) for the relevant backend; optionally onboard a new model end-to-end (downloads/sha256 entries, backend prompt/template quirks, tests, README updates). Use when onboarding a new model, updating supported models, or fixing model-related load/inference/test failures.
Build and run the benchmarking tools in this repository (including llm-bench-cli) across supported backends, and triage benchmark build/runtime issues (shared libs placement, model paths, threads/tokens, JNI off). Use when changing benchmark code, adding metrics, comparing performance, or verifying benchmark binaries for a backend.
Configure, build, and run CTest for this repository using CMake presets (native, x-android-aarch64, x-linux-aarch64), including common cache flags (LLM_FRAMEWORK, BUILD_JNI_LIB, USE_KLEIDIAI, BUILD_BENCHMARK, CPU_ARCH) and failure triage steps. Use when asked to run tests, reproduce build/CI failures, or diagnose CMake/CTest/JNI issues for this project.
Debug failing LLM integration tests caused by model output drift, incorrect context/runtime parameters (contextSize, batchSize, threads), prompt/template mismatches, or backend/framework regressions. Use when tests fail and you need to see the model response, reproduce a single failing CTest, or trace issues into src/cpp/frameworks (llama.cpp, onnxruntime-genai, mnn, executorch).
Run fast “session start / doctor” checks for this repository (toolchain + wiring sanity, framework version report, optional upstream update check), optionally generate a debug bundle, and when needed bump pinned backend framework versions with build+ctest verification. Use at session start or when upgrading llama.cpp/onnxruntime-genai/mnn/executorch pins.
Cross-compile for Android (x-android-aarch64 preset), optionally build tests/benchmarks, and outline adb push/run steps. Use when building for Android targets or diagnosing Android toolchain issues.
| name | llm-update-downloads |
| description | Update scripts/py/requirements.json entries (URLs + sha256sum) for models/tools, validate hash changes, and keep downloads deterministic without committing artifacts. Use when adding or refreshing model/tool downloads. |
Use this when adding or refreshing entries in scripts/py/requirements.json.
Windows note: if python3 isn’t available, use python (or py -3) for the scripts below.
scripts/py/requirements.json.url, destination, and sha256sum.resources_downloaded/ (but never commit the artifacts).python3 skills/llm-add-model-support/scripts/sha256_file.py <file>
cmake --preset=native -B build
Tip: avoid large downloads unless explicitly requested.
README.md.resources_downloaded/ or download.log.