release-post
Package Release Post
Create professional R/Python package release blog posts following Tidyverse or Shiny blog conventions.
Quick Start
- Identify the blog platform: Tidyverse (tidyverse.org) or Shiny (shiny.posit.co)
- Verify NEWS.md or changelog exists for the package
- Gather package info: name, version, repository (e.g., "tidyverse/dplyr")
- Follow the workflow below
- Use
scripts/get_contributors.Rto generate acknowledgments - 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:
-
Frontmatter: Platform-specific YAML (see formatting references)
-
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
-
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)
-
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
- Use
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
rlanguage 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 usingusethis::use_tidy_thanks()references/content-guidelines.md: General content best practices (platform-agnostic)references/tidyverse-formatting.md: Tidyverse-specific formatting requirementsreferences/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