curate

name	curate
description	Guide the R Weekly curation team through preparing a new weekly issue. Reads curatinator_latest.md, classifies posts by section, checks for duplicates, and populates draft.md. Use when an editor wants to process the weekly content pipeline.
disable-model-invocation	true
allowed-tools	Read, Edit, Bash, Grep, WebFetch

R Weekly Release Curation

Live Context

• Current draft: !cat draft.md

Your Task

You are helping the R Weekly curation team prepare the weekly issue. Work through the candidate content from curatinator_latest.md and populate draft.md.

Classification Rules

For each RSS POST, decide:

1. Is it R-related? Fetch and read the actual page content for every item before deciding — do not infer relatedness from the title, author, or domain alone. A post on a known R blogger's site or a stats-adjacent title can still be off-topic (e.g. a general statistics/data-ethics essay with no R content). If not R-related, skip it entirely.
2. Is it already in the draft or flagged as a duplicate? If so, skip it.
3. Which section does it belong to?

Section in draft.md	Use when
### Tutorials	R tutorials showing how to use packages/tools; code is usually embedded
### Insights	Articles about R and data science in general; usually no code
### R in the Real World	Analyses using R on real-world data
### R in Organizations	R use cases in organizations / companies
### R in Academia	R use cases in academic / research settings
### Videos and Podcasts	Videos, screencasts, podcasts about R
### Resources	Books, slides, cheatsheets, websites, longer learning resources
### Gist & Cookbook	Short code snippets, gists, recipes
### Shiny Apps	Shiny applications
### R Internationally	Non-English R content
### R Project Updates	Updates from R Core / R-devel (base R, NEWS)
### Call for Participation	R groups, competitions, community calls
### Upcoming Events in 3 Months	Upcoming R events (max 3 links)
### Grants & Funding	Grants, funding opportunities related to R
### Datasets	Newly released or noteworthy datasets
### Connect	R jobs, communities
### rtistry	Generative art made with R

For CRANberries NEW entries: add under ### New Packages -> **CRAN**. For CRANberries UPDATED entries: add under ### Updated Packages.

Do NOT add anything to ### Highlight — editors vote for that section separately. Do NOT touch ### Quotes of the Week — it uses raw social-embed HTML, added by hand.

Link Format

+ [Title](URL)

For updated packages, preserve the diffify link if present:

+ [{pkgname} version](https://cran.r-project.org/package=pkgname) - [diffify](https://diffify.com/R/pkgname)

Images (optional, editor discretion):

![Alt text](https://raw.githubusercontent.com/...)

Fetching Page Content

To inspect a URL's content before classifying it, use any of:

• WebFetch tool — built-in; use it directly.
• curl https://r.jina.ai/https://www.example.com — fallback if WebFetch fails.
• curl https://defuddle.md/example.com — second fallback. o- npx defuddle parse https://www.example.com --markdown — third fallback if defuddle.md itself is down or rate-limited; runs the same extraction locally with no dependency on the hosted proxy.

Steps

1. Check open PRs with gh pr list --repo rweekly/rweekly.org. If any are open, tell the user and wait for their go-ahead before continuing.
2. Collect content — only if curatinator_latest.md is missing or stale (the Saturday GitHub Action normally refreshes it): Rscript -e 'source("scripts/curatinator.R")'. This scrapes the network and overwrites the file, so skip it when the file is already current.
3. Read curatinator_latest.md (the current draft.md is already loaded in Live Context above). Optionally parse it with Rscript -e 'source("scripts/parse_curinator.R")' for a tidy view.
4. Check duplicates: Rscript -e 'source("scripts/find_duplicates.R"); get_dups()'; skip any flagged URLs.
5. Process RSS POSTS: for each link, classify and add to the correct section in draft.md. Skip non-R content.
6. Process CRANberries NEW: add new CRAN packages under ### New Packages -> **CRAN**.
7. Process CRANberries UPDATED: add updated packages under ### Updated Packages.
8. Edit draft.md using the Edit tool to insert the new links into the appropriate sections.
9. Report a summary:
   • How many RSS posts were added (and to which sections)
   • How many CRAN new/updated packages were added
   • How many items were skipped (not R-related or duplicates)
   • Any items that were ambiguous and need editor review

Keep the existing content and structure of draft.md intact. Add new links at the bottom of each section, above any closing HTML comments.