Run bulk code jobs without token drain

Executes Python locally against multiple files or a complex workflow in one shot, then feeds results back to Claude. Cuts token spend 90% on tasks like batch transcoding, parsing, or refactoring.

Best for: Engineers processing 10+ files or running iterative transformations without bleeding tokens.

Engineering / pipelines-dataatomicfor-engineersneeds-integrationfrom-file

Topics

ai-agentsai-toolsanthropicautomationclaude-codeclaude-skillsdeveloper-toolspluginsproductivity

Source

Creator's repository · mhattingpete/claude-skills-marketplace

View on GitHub

License: Apache-2.0