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GitHub 仓库

NeverC

NeverC 收录了来自 NeverSight 的 6 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。

已收集 skills
6
Stars
3
更新
2026-07-07
Forks
1
职业覆盖
1 个职业分类 · 已分类 100%
仓库浏览

这个仓库中的 skills

compiler-development
软件开发工程师

Expertise in compiler development using LLVM infrastructure including frontend design, IR generation, optimization passes, and code generation. Use this skill when building custom programming languages, implementing DSL compilers, or working on compiler internals.

2026-07-07
dynamic-instrumentation
软件开发工程师

Expertise in LLVM-based dynamic binary instrumentation, runtime tracing, and program monitoring. Use this skill when implementing runtime analysis tools, code coverage systems, profilers, or dynamic security monitors.

2026-07-07
github-ci-runtime-debugging
软件开发工程师

Use when a CI/CD pipeline (GitHub Actions or similar) surfaces a runtime bug that is platform-specific ("fails on linux-x64 but passes on arm64/macos/windows"), intermittent/flaky (different tests fail each run, segfaults, "Segmentation fault (core dumped)", non-deterministic), or does not reproduce locally ("works on my machine"). Covers reproducing in a CI-matching environment (Docker + qemu for cross-arch hosts), reusing prebuilt CI artifacts instead of rebuilding, distinguishing a tool/compiler crash from a built-program crash, determinism / ASLR / data-race triage, pushing a minimal workflow_dispatch debug job to a real runner, and capturing core-dump backtraces. Trigger phrases: "CI fails but works locally", "only fails on x64/arm64", "flaky test", "random segfault in CI", "core dumped", "can't reproduce the CI crash".

2026-06-12
llvm-optimization
软件开发工程师

Expertise in LLVM optimization passes, performance tuning, and code transformation techniques. Use this skill when implementing custom optimizations, analyzing pass behavior, improving generated code quality, or understanding LLVM's optimization pipeline.

2026-05-19
mlir-development
软件开发工程师

Expertise in MLIR (Multi-Level Intermediate Representation) and CIR (Clang IR) development for domain-specific compilation and high-level optimizations. Use this skill when building ML compilers, domain-specific languages, or working with multi-level compilation pipelines.

2026-05-18
ralph
软件开发工程师

Self-referential completion loop for AI CLI tools. Re-runs the agent on the same task across turns with fresh context each iteration, until the completion promise is detected or max iterations is reached.

2026-05-18