Convert R/Python package release notes into Tidyverse or Shiny blog posts.
npx skills add https://github.com/JDenn0514/surveycore --skill release-post-jdenn0514
Please help me install this Agent Skill. Skill: release-post Source: https://github.com/JDenn0514/surveycore/tree/main/.claude/skills/release-post Command: npx skills add https://github.com/JDenn0514/surveycore --skill release-post-jdenn0514
Create release blog posts for R/Python packages by transforming NEWS/changelog content into platform-ready posts that follow Tidyverse (hugodown) or Shiny (Quarto) conventions. This tool also automates acknowledgments by generating contributor lists and ensures proper frontmatter and formatting across platforms.
Provide a complete release blog post for a given package version following the platform guidelines and formatting rules.
High-intent search queries and answers about installing and using this skill.
Generate a package release blog post by extracting release notes from NEWS.md or changelogs and converting them into structured sections. This process translates raw version notes into platform-ready content with proper formatting and frontmatter for immediate publishing.
Tidyverse hugodown and Shiny Quarto formatting differ in their platform-specific styling and frontmatter conventions. Release posts must apply the correct structural rules, optional images, and social media metadata for the intended destination blog platform.
Automate contributor acknowledgements for an R package release post by running contributor scripts that generate a complete list. This built-in workflow extracts contributor data and formats it into a structured Acknowledgements section for the blog post.
Yes, you can cross-post a Python package release announcement to both Tidyverse and Shiny blogs. The workflow supports translating release notes into platform-ready content for multiple languages and formats, facilitating easy cross-platform blog communications.
No, this release post workflow does not require manual formatting of frontmatter or social media metadata. It automatically applies platform-specific styling rules, frontmatter generation, and optional image inclusion to produce ready-to-publish blog content.
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