Hamilton Development Workflow for Claude Code
openbooklet.com/s/hamilton-development-workflow-for-claude-codeopenbooklet.com/s/hamilton-development-workflow-for-claude-code@1.0.0GET /api/v1/skills/hamilton-development-workflow-for-claude-code**TL;DR**: Build Hamilton DAGs systematically using DOT â Signatures â Validation â TDD implementation.
Apache Hamilton is a lightweight Python framework for building Directed Acyclic Graphs (DAGs) of data transformations using declarative, function-based definitions.
This skill covers patterns for building LLM applications, RAG pipelines, and AI workflows with Apache Hamilton.
This skill covers integrating Hamilton with orchestrators, web frameworks, notebooks, and other tools.
The Hamilton MCP server exposes Hamilton's DAG compilation, validation, and execution as interactive tools. It enables a tight feedback loop: write functions, validate the DAG, visualize dependencies, fix errors, and execute -- all without leaving the conversation.
This skill covers the Hamilton UI, SDK, and observability patterns for tracking and monitoring your dataflows in development and production.
This skill covers parallelization strategies and performance optimization for Apache Hamilton workflows.
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