feat: rigging pr decorator for robopage prs

[GangGreenTemperTatum]

AI-Generated Summary

PR Summary

Overview of Changes

The recent pull request incorporates significant enhancements aimed at automating the generation and updating of pull request descriptions within the project's GitHub workflow. Central to these improvements are the addition of a new pull request template, the introduction of a Python script (rigging_pr_decorator.py) for dynamically creating PR descriptions leveraging AI, and the establishment of a GitHub Actions workflow (rigging_pr_description.yml). These components are designed to collaborate seamlessly, using the diff text of PRs to generate informative and standardized descriptions automatically.

Key Modifications

1. New PR Template Addition: A PULL_REQUEST_TEMPLATE.md file has been added to standardize PR submissions, encouraging contributors to follow a uniform structure for their descriptions, although it allows the description to be initially left blank for automated population.
2. Dynamic PR Description Script: The rigging_pr_decorator.py script introduces the functionality to parse PR diffs and generate descriptive content. This script uses the rigging library along with AI (presumed to be a text-generating AI like GPT) to synthesize pertinent summaries from PR diffs.
3. GitHub Actions Workflow Integration: The rigging_pr_description.yml workflow configures GitHub Actions to automatically invoke the description script upon PR creation or update, ensuring that every PR is accompanied by a detailed, generated summary.

Potential Impact

• Streamlined PR Review Process: Automating PR descriptions can significantly increase the efficiency of the review process by providing clear, concise summaries of the changes, which can be particularly beneficial for larger or more complex PRs.
• Enhanced Contributor Experience: New or infrequent contributors can follow the provided PR template, reducing the entry barrier for contributions and ensuring consistency across submissions.
• Improved Project Documentation: Automated, standardized descriptions enhance the documentation of changes over time, creating a more navigable and understandable project history.

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