skrawcz opened a new pull request, #1460:
URL: https://github.com/apache/hamilton/pull/1460
This commit adds a comprehensive Claude Code plugin/skill that provides
AI-powered assistance for Hamilton DAG development.
Features:
- Create Hamilton modules with proper patterns and decorators
- Understand and explain existing DAGs
- Apply function modifiers (@parameterize, @config.when, @check_output, etc.)
- Convert Python scripts to Hamilton modules
- Debug issues (circular dependencies, missing nodes, etc.)
- Optimize pipelines with caching and parallelization
- Generate tests and documentation
- LLM/RAG workflow patterns
- Integration patterns (Airflow, FastAPI, Streamlit, etc.)
Structure:
- .claude/skills/hamilton/ - Auto-available for Hamilton contributors
- .claude/plugins/hamilton/ - Installable plugin for external users
- docs/ecosystem/claude-code-plugin.md - User documentation
Installation for users:
/plugin marketplace add apache/hamilton /plugin install hamilton --scope
user
All files include Apache 2.0 license headers.
Contributing: Users can file issues or submit PRs to improve the skill.
## Changes
- adds claude skill
- adds documentation
## How I tested this
- with claude -- likely can be improved still (need to audit the skill a bit
more)
## Notes
## Checklist
- [ ] PR has an informative and human-readable title (this will be pulled
into the release notes)
- [ ] Changes are limited to a single goal (no scope creep)
- [ ] Code passed the pre-commit check & code is left cleaner/nicer than
when first encountered.
- [ ] Any _change_ in functionality is tested
- [ ] New functions are documented (with a description, list of inputs, and
expected output)
- [ ] Placeholder code is flagged / future TODOs are captured in comments
- [ ] Project documentation has been updated if adding/changing
functionality.
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