skills/posit-dev/skills/release-post

release-post

SKILL.md

Package Release Post

Create professional R/Python package release blog posts following Tidyverse or Shiny blog conventions.

Quick Start

  1. Identify the blog platform: Tidyverse (tidyverse.org) or Shiny (shiny.posit.co)
  2. Verify NEWS.md or changelog exists for the package
  3. Gather package info: name, version, repository (e.g., "tidyverse/dplyr")
  4. Follow the workflow below
  5. Use scripts/get_contributors.R to generate acknowledgments
  6. Reference the appropriate formatting guide for final polish

Platform Selection

This skill supports two blog platforms with different formatting requirements:

  • Tidyverse blog (tidyverse.org)

    • Uses hugodown
    • R packages primarily
    • More rigid structure and conventions
    • See references/tidyverse-formatting.md
  • Shiny blog (shiny.posit.co)

    • Uses Quarto
    • R and Python packages
    • More flexible, feature-focused structure
    • See references/shiny-formatting.md

First, determine which platform the post is for, then follow the general workflow and apply platform-specific formatting.

General Workflow

These steps apply to both platforms. Content guidelines are based on Tidyverse best practices but adapt them as needed for Shiny posts.

Step 1: Gather Information

Collect required information:

  • Platform: Tidyverse or Shiny blog?
  • Package name and version: e.g., "dplyr 1.2.0" or "shiny 1.9.0"
  • Repository: GitHub repo in "owner/repo" format
  • Package language: R or Python
  • NEWS content: Read the package's NEWS.md, CHANGELOG, or NEWS
  • Package description: One-sentence core purpose
  • Previous release tag: For contributor fetching (optional)
  • Featured image: For frontmatter (optional but recommended)

Step 2: Structure the Post

Create the post outline following this order:

  1. Frontmatter: Platform-specific YAML (see formatting references)

  2. Title and Opening:

    • Title: Package name and version
    • Opening: Announcement with one-sentence package description
    • Installation: Code block with installation command
    • Overview: Brief summary with link to full release notes
  3. Main Content (choose appropriate sections):

    • Migration guide (if breaking changes) - Always first when present
    • Lifecycle changes (deprecations, soft-deprecations, defunct)
    • Feature sections (one per major feature, descriptive headings)
    • Minor improvements (bulleted list)
  4. Acknowledgements (when appropriate):

    • Use scripts/get_contributors.R
    • Format: "A big thank you to all the folks who helped make this release happen:"
    • Comma-separated GitHub links

Step 3: Apply Content Guidelines

Follow the best practices in references/content-guidelines.md:

  • Opening style: "We're [random adjective expressing excitement] to announce the release of..."
  • Section organization: Migration → Lifecycle → Features → Improvements → Acknowledgements
  • Tone: Conversational, professional, enthusiastic but authentic
  • Technical precision: Use exact function names in backticks
  • Focus on benefits: Explain "why" not just "what"
  • Code examples: Realistic, well-commented, properly formatted

Step 4: Transform NEWS Content

Convert NEWS.md bullets to blog-friendly content:

  • Research features thoroughly: Don't just copy NEWS bullets—read function docs, check PRs, understand the context
  • Expand context: Why changes matter, not just what changed
  • Add complete code examples: Show realistic usage with full workflows, not just function signatures
  • Explain concepts first: For unfamiliar features, explain what they are and how they work before showing code
  • Group thematically: Combine related NEWS items into coherent sections
  • Use conversational tone: Transform terse bullets into prose
  • Link documentation: Add relevant links to docs and resources
  • Highlight breaking changes: Make migration paths clear
  • Multi-language parity (Shiny only): For R+Python packages on the Shiny blog, ensure all examples show both languages in tabsets

Step 5: Apply Platform-Specific Formatting

For Tidyverse posts, read references/tidyverse-formatting.md and apply:

  • hugodown frontmatter with slug, photo.url, photo.author
  • Specific slug format: packagename-x-y-z (hyphens replace dots)
  • R code blocks with r language identifier
  • Acknowledgements always included as final section

For Shiny posts, read references/shiny-formatting.md and apply:

  • Quarto frontmatter with YAML anchors for social media
  • Flexible title formatting
  • Use tabsets for Python/R or Express/Core variations
  • Platform-specific code block attributes
  • Acknowledgements optional, varies by post type
  • May use lead paragraphs, callouts, embedded media

Step 6: Generate Acknowledgements

Run the contributor script:

Rscript scripts/get_contributors.R "owner/repo"

Or with a specific starting tag for the previous version (or tag used for last release post):

Rscript scripts/get_contributors.R "owner/repo" "v1.0.0"

Copy the markdown output into the Acknowledgements section.

Step 7: Review and Polish

Platform-agnostic checklist:

  • Frontmatter complete with all required fields
  • Opening clearly states package purpose
  • Installation code block present (both languages if applicable)
  • Sections organized logically
  • Code examples use proper syntax highlighting
  • Function names in backticks with parentheses: `function()`
  • Package names are not backticked or otherwise styled
  • Tone is conversational but not marketing-speak
  • No superlatives ("powerful", "rich", "seamless", etc.)
  • Features explained with context, not just listed
  • Concepts explained before showing code
  • All examples show R and Python variants (if applicable)
  • Links to full release notes included

Platform-specific checklist:

Tidyverse:

  • Slug format: package-x-y-z (hyphens, not dots)
  • Photo URL and author included
  • Acknowledgements section is final section
  • All contributors listed alphabetically

Shiny:

  • YAML anchors used for description (&desc, *desc)
  • Social media cards configured (open-graph, twitter-card)
  • Appropriate filters specified if using tabsets/shinylive
  • Tabsets used for showing paired variants (Python/R, Express/Core)
  • Multi-language tabsets used consistently (for R+Python packages only)

Reference Documentation

Load these as needed for detailed guidance:

Content Guidelines

references/content-guidelines.md - General best practices for all release posts:

  • Post structure and organization
  • Opening style and tone
  • Section hierarchy and organization
  • Code examples and formatting
  • Before/after patterns
  • Acknowledgments conventions

Platform-Specific Formatting

references/tidyverse-formatting.md - Tidyverse blog requirements:

  • hugodown frontmatter structure
  • Slug and title conventions
  • Photo attribution
  • Code block formatting
  • Lifecycle section structure
  • Acknowledgements format

references/shiny-formatting.md - Shiny blog requirements:

  • Quarto frontmatter with YAML anchors
  • Social media card configuration
  • Lead paragraphs and callouts
  • Tabsets for variants
  • Line highlighting and annotations
  • Video embedding
  • Flexible acknowledgements

Resources

  • scripts/get_contributors.R: Fetch formatted contributor list using usethis::use_tidy_thanks()
  • references/content-guidelines.md: General content best practices (platform-agnostic)
  • references/tidyverse-formatting.md: Tidyverse-specific formatting requirements
  • references/shiny-formatting.md: Shiny-specific formatting requirements

Platform-Specific Quick Reference

Tidyverse Post Template

---
output: hugodown::hugo_document
slug: package-x-y-z
title: package x.y.z
date: YYYY-MM-DD
author: Your Name
description: >
    Brief description
photo:
  url: https://unsplash.com/photos/id
  author: Photographer Name
categories: [package]
tags: [package]
---

# package x.y.z

We're pleased to announce the release of package x.y.z...

```r
install.packages("package")
```

...

## Acknowledgements

A big thank you to all the folks who helped make this release happen:

[Contributors from get_contributors.R]

Shiny Post Template

---
title: Package Name x.y.z
description: &desc |
  Brief description of the release.
author: "Your Name"
date: "YYYY-MM-DD"

image: feature.png

open-graph:
  image: feature.png
  description: *desc
twitter-card:
  image: feature.png
  description: *desc
---

# package x.y.z

We're excited to announce package x.y.z...

[Installation for Python or R]

...

Tips

  • Breaking changes first: Put migration guides before features
  • Highlight the wins: Lead with the most exciting features
  • Show don't tell: Use code examples liberally
  • Link generously: Help readers find more information
  • Keep it conversational: Write like you're explaining to a colleague
  • Be authentic: Enthusiasm should feel genuine, not marketing-speak
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