codex-advisor

Get a cross-model second opinion from gpt-5.5 on your current approach. Use before substantive work (writing, editing, committing to an interpretation), when stuck (errors recurring, approach not converging), when changing approach, or before declaring a task done. The reviewer sees your opening task plus recent work from the session transcript.

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저장소: archibate/dotfiles-claude
최근 소스 활동: 2026년 6월 3일 06:24
감지된 SKILL.md 언어: 영어
스타: 39
포크: 10

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.

npx skills add https://github.com/archibate/dotfiles-claude --skill codex-advisor

명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.

로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

파일 탐색기

3 개 파일

SKILL.md

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writing-prompt

Create or edit agent-facing/LLM prompts using modern prompt-engineering practices. Use this skill before editing agent-facing docs, rule files, references, skills, memory, or any form of LLM prompt. Also use it before writing LLM tests or evaluations. This is mandatory: NEVER skip this skill before writing agent-facing text; MUST use it before editing a file that will be fed to AI agents.

2026-08-22

cpp-oop-style

High-quality C++ OOP coding style (archibate / parallel101 lineage) that overrides sloppy AI-default C++. Use this skill WHENEVER writing, editing, refactoring, or reviewing C++ code (.cpp / .h / .hpp / .cc / .cxx), designing C++ classes, interfaces, APIs, or libraries, or when the user mentions C++ design, OOP, design patterns, dependency injection, RAII, or "clean / modern C++". Apply it even when the user does not explicitly ask for a style: the default way models write C++ leans on free functions, public mutable state, raw new/delete, sentinel return codes, and long loose parameter lists — this skill replaces all of that with abstract-class-or-data-class design, dependency injection, type-rich APIs, value-based error handling, and RAII ownership.

2026-08-21

cpp-hpc-optimization

Evidence-driven C++ high-performance computing design, profiling, and optimization across algorithmic time/space complexity, data layout, cache and memory behavior, numerics, SIMD, multicore scheduling, and CPU/accelerator pipelines. Use before designing or changing computation-intensive kernels, high-throughput data structures, performance-critical loops, SIMD/OpenMP/TBB/CUDA code, mixed-precision or sparse representations, or when investigating throughput, latency, scaling, cache, bandwidth, compiler-vectorization, or profiling problems.

2026-08-20

이 저장소의 모든 Skills 보기

name	codex-advisor
description	Get a cross-model second opinion from gpt-5.5 on your current approach. Use before substantive work (writing, editing, committing to an interpretation), when stuck (errors recurring, approach not converging), when changing approach, or before declaring a task done. The reviewer sees your opening task plus recent work from the session transcript.
compatibility	Claude Code
allowed-tools	Bash(consult.py:)

name	codex-advisor
description	Get a cross-model second opinion from gpt-5.5 on your current approach. Use before substantive work (writing, editing, committing to an interpretation), when stuck (errors recurring, approach not converging), when changing approach, or before declaring a task done. The reviewer sees your opening task plus recent work from the session transcript.
compatibility	Claude Code
allowed-tools	Bash(consult.py:)

codex-advisor

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이 저장소의 다른 Skills

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