OpenAgentSkill Registry Manifest
Skill: Getting Things Done With Pytorch
Slug: curiousily-getting-things-done-with-pytorch
Category: robotics-iot
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

Agent fit:
- Decision: 76/100 Strong shortlist
- Primary fit: Coding agents
- Role: Companion skill

Supply profile:
- Track: Coding and developer agents
- Scenario: Coding agents
- Applicable agents: Claude Code, CLI, Codex, Cursor, Jupyter Notebook
- Maintenance: 2y since push
- Risk: Needs review

Trust:
- Trust score: 86/100 Production candidate
- Audit: 77/100 Needs review

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: curiousily
- Claim URL: https://www.openagentskill.com/skills/curiousily-getting-things-done-with-pytorch#claim-this-skill

Install:
npx skills add curiousily/Getting-Things-Done-with-Pytorch

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