10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 556 ms

1. 1splitting-datasetsdemo or tutorialno passport yet

   skilljeremylongshore/claude-code-plugins-plus-skillsrecord

   • splitting-datasets

     This skill enables Claude to split datasets into training, validation, and testing sets. It is useful when preparing data for machine learning model development. Use this skill when the user requests to split a dataset, create train-test splits, or needs data partitioning for model training. The ski

2. 2datasetsverified and signedpassport

   libraryhuggingface/datasetsrecord71,014,697 downloads/month

   • datasets

3. 3ML Lab MCPfound in code, not yet checkedno passport yet

   MCP serverPushPullCommitPush/ml-mcp

   • dataset_split

     Split a dataset into train/val/test sets

4. 4MCP DS Toolkit Serverfound in code, not yet checkedno passport yet
   • split_dataset

     Split dataset into train/validation/test sets

5. 5semchunkverified and signedpassport

   libraryisaacus-dev/semchunkrecord4,038,219 downloads/month

   • splitting

6. 6data-analyst-mcpfound in code, not yet checkedno passport yet

   MCP serverolegtyshcneko/data-analyst-mcp

   • split_dataset

     Partition a registered dataset into seeded train/test datasets.

7. 7bundle-splittingverified and signedpassport

   skillpatternsdev/skillsrecord

   • bundle-splitting

     Teaches bundle splitting techniques for web performance. Use when your application has a large JavaScript bundle that affects load times or when you need to reduce FCP/LCP.

8. 8io.github.amitsingh-24/pixlintfound in code, not yet checkedno passport yet
   • split_dataset_tool

     Split dataset into train/val/test sets

9. 9ai-ml-mcp-serversfound in code, not yet checkedno passport yet

   MCP servernato1000/ai-ml-mcp-servers

   • split_dataset

     Split a previously loaded dataset into train/test.

10. 10fovuxfound in code, not yet checkedno passport yet

    MCP serverrhkiswani/fovux

    • dataset_split

      Create or re-create train/val/test splits with optional class stratification.