This skill helps you get a deep learning project ready to run. It sets up a conda environment and prepares checkpoint and dataset paths. You also get cache location hints and setup notes. Everything is done carefully to match the instructions in the project's README file.
It is useful for researchers and engineers who want to reproduce results from a public repo. The skill avoids making big changes. It keeps the setup simple and safe. It also lists any missing dependencies or missing files so you can fix them before you start training.
Global
mkdir -p ~/.claude/skills/env-and-assets-bootstrapProject
mkdir -p .claude/skills/env-and-assets-bootstrapSource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning
Power Bi Model Design Reviewgithub/awesome-copilot
Review your Power BI data model design to improve speed and reliability