
Skill
init-physics-intern
scaffold PhysicsIntern research workspaces
Description
Scaffold a PhysicsIntern research workspace in the current folder.
SKILL.md
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:
- First, print this line verbatim to the user:
⏳ Initializing the PhysicsIntern workspace. This needs one permission approval — the script writes
.claude/and runsgit init, which the sandbox blocks by default. Please approve it when prompted. - 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 runsgit 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. - 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:
- Edit
problem.md— fill in the problem setup and main question. - Exit and restart Claude Code in this folder, then run
/survey.
- Edit
- 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.
- If it contains
More from Hugging Face
View publishertrain-sentence-transformers
train sentence-transformers models
sentence-transformers
May 8Deep LearningHugging FaceLLMPython +1trl-training
train and fine-tune LLMs with TRL
trl
Apr 6AI InfrastructureDeep LearningHugging FaceLLM +1hf-cli
manage Hugging Face Hub resources via CLI
skills
Apr 6CLIDatasetsHugging FaceLLMhf-cloud-aws-context-discovery
discover local AWS environment context
skills
Jul 8AWSCLIConfigurationhf-cloud-python-env-setup
set up Python environments for AWS
skills
Jul 8AI InfrastructureAWSEngineeringPythonhf-cloud-sagemaker-deployment-planner
plan model deployments to Amazon SageMaker
skills
Jul 8AI InfrastructureAWSDeploymentHugging Face