{"skill":{"slug":"curiousily-getting-things-done-with-pytorch","name":"Getting Things Done With Pytorch","description":"Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER","repository":"https://github.com/curiousily/Getting-Things-Done-with-Pytorch"},"recommended_command":"npx skills add curiousily/Getting-Things-Done-with-Pytorch","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add curiousily/Getting-Things-Done-with-Pytorch","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Getting Things Done With Pytorch\" agent skill from https://github.com/curiousily/Getting-Things-Done-with-Pytorch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Getting Things Done With Pytorch\" as a Claude Code skill from https://github.com/curiousily/Getting-Things-Done-with-Pytorch. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Getting Things Done With Pytorch\" from https://github.com/curiousily/Getting-Things-Done-with-Pytorch into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Repository appears stale","61/100 agent safety score"]},"agent_prompt":"Install the \"Getting Things Done With Pytorch\" agent skill only after reviewing the OpenAgentSkill profile and source repository. Safety gate: Reviewed with permission notes (review). Start with https://www.openagentskill.com/skills/curiousily-getting-things-done-with-pytorch, inspect the trust and audit notes, then use the recommended install handoff: npx skills add curiousily/Getting-Things-Done-with-Pytorch. After installation, summarize changed files, required setup, and a minimal verification result before using the skill for real work.","safety_checklist":["Safety gate: Reviewed with permission notes. Policy: review.","Require human approval before installing into a real workspace.","Review the repository and license before running third-party code.","Prefer a sandbox or isolated project when testing a new skill.","Start with the recommended command, then inspect generated files before committing changes.","Do not execute external side effects, payments, account changes, or credentialed actions without explicit user approval."],"verification_steps":["Open the skill documentation or SKILL.md and identify required setup.","Run the smallest safe example for the target task.","Confirm outputs match the task before allowing broader agent use.","Record any missing credentials, policy risks, or manual approvals needed."],"do_not_auto_install_when":["The repository or license cannot be reviewed.","The skill requires broad credentials or production account access.","The task involves regulated, private, or high-impact data without user approval."],"urls":{"web":"https://www.openagentskill.com/skills/curiousily-getting-things-done-with-pytorch","api":"https://www.openagentskill.com/api/agent/skills/curiousily-getting-things-done-with-pytorch","install_api":"https://www.openagentskill.com/api/skills/curiousily-getting-things-done-with-pytorch/install","repository":"https://github.com/curiousily/Getting-Things-Done-with-Pytorch"},"meta":{"agent_friendly":true,"api_version":"1.0","generated_at":"2026-06-17T13:49:23.696Z"}}