Salesforce Data Cloud holds large amounts of customer information. You can use custom Python code to transform and process that data. This skill helps you build, test, and deploy those code extensions.
You can create two types of transformations. Batch transformations process data in groups. Real-time transformations work on individual events. Both types let you read from and write to Data Lake Objects and Data Model Objects.
The skill guides you through setting up a project, writing Python code, scanning for permissions, and deploying to Data Cloud. It uses the SF CLI plugin and requires Python 3.11 and Docker for deployment.
Global
mkdir -p ~/.claude/skills/developing-datacloud-code-extensionProject
mkdir -p .claude/skills/developing-datacloud-code-extensionSource Repository
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
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
Power Bi Model Design Reviewgithub/awesome-copilot
Review your Power BI data model design to improve speed and reliability
Power Bi Performance Troubleshootinggithub/awesome-copilot
Find and fix Power BI performance issues with clear step by step guidance