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GitHub 저장소

NeverC

NeverC에는 NeverSight에서 수집한 skills 6개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
6
Stars
3
업데이트
2026-07-07
Forks
1
직업 범위
직업 카테고리 1개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

compiler-development
소프트웨어 개발자

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
소프트웨어 개발자

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
소프트웨어 개발자

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
소프트웨어 개발자

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
소프트웨어 개발자

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
소프트웨어 개발자

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