init-physics-intern

작성자: huggingface

Scaffold a PhysicsIntern research workspace in the current folder.

npx skills add https://github.com/huggingface/physics-intern-claude-plugin --skill init-physics-intern

The PhysicsIntern initializer script is located at:

!echo "${CLAUDE_PLUGIN_ROOT}/scripts/plugin-init.sh"

This is a purely mechanical bootstrap. Do exactly the following and nothing more — do not read, copy, render, or create any files yourself, and do not narrate steps:

  1. First, print this line verbatim to the user:

    ⏳ Initializing the PhysicsIntern workspace. This needs one permission approval — the script writes .claude/ and runs git init, which the sandbox blocks by default. Please approve it when prompted.

  2. Then run that one script, with no arguments, using the Bash tool. The script renders the workspace, scaffolds the directories, and makes the first git commit — it does the entire job in one command. It writes to .claude/ and runs git init, which the sandbox blocks, so Claude Code will ask to run it outside the sandbox (or for permission) — that is expected; approve it. Do not fall back to doing the work by hand if it is denied — just re-run the same script with permission.

  3. Read the script's final RESULT: line, then:

    • If it contains RESULT: initialized, print the following message verbatim and then stop — add nothing else, no file lists, no extra suggestions:

      PhysicsIntern workspace initialized. Two steps to begin:

      1. Edit problem.md — fill in the problem setup and main question.
      2. Exit and restart Claude Code in this folder, then run /survey.
    • If it contains RESULT: already-initialized, tell the user this folder already contains a PhysicsIntern workspace and was left untouched, and stop.

    • If there is no RESULT: line, show the script's output to the user and stop.

huggingface의 다른 스킬

cpu-kernels
huggingface
C++ CPU 커널을 SIMD 내장 함수(AVX2/AVX512)로 작성, 최적화 및 벤치마킹하는 방법에 대한 지침을 제공하며, Hugging Face 커널 생태계를 대상으로 합니다. 포함 사항…
official
generate-openenv-env
huggingface
구체적인 사용 사례(예: "라이브러리 textarena를 위한 환경 생성")로부터 OpenEnv 환경을 생성합니다. 새로운 환경을 설계하거나 구현하라는 요청을 받았을 때 사용하세요.
official
hf-mcp
huggingface
Hugging Face Hub를 MCP 서버 도구를 통해 사용하세요. 모델, 데이터셋, 스페이스, 논문을 검색하고, 저장소 세부 정보를 확인하며, 문서를 가져오고, 컴퓨팅 작업을 실행하고, Gradio를 사용할 수 있습니다…
official
trl-training
huggingface
트랜스포머 언어 모델을 TRL(Transformers Reinforcement Learning)을 사용하여 학습 및 미세 조정합니다. SFT, DPO, GRPO, KTO, RLOO 및 보상 모델 학습을 지원합니다…
official
deploy-hf
huggingface
OpenEnv 환경을 Hugging Face Spaces에 배포합니다. 배포, Hugging Face로 푸시, 또는 스페이스 업데이트를 요청받았을 때 사용하세요.
official
hf-space-recovery
huggingface
Diagnose and recover failing or stuck Hugging Face Space deployments for OpenEnv environments. Use when deploying envs from `envs/` to the Hub (`openenv`…
official
pre-submit-pr
huggingface
풀 리퀘스트를 제출하기 전에 변경 사항을 검증합니다. 린트, 테스트, 정렬 검토 및 RFC 분석을 포함한 포괄적인 검사를 실행합니다. 생성하기 전에 사용합니다…
official
example-skill
huggingface
액션 스모크 테스트용 예제 픽스처 스킬
official