What is the 'CRAN mindset' mentioned in the skill?

The CRAN mindset refers to writing code for a minimal, non-interactive environment with no network access, no interactive prompts, and strict limits on runtime and file system writes.

How does this skill help with CRAN rejections?

It helps you interpret the reviewer's feedback and triage specific ERRORs or NOTEs, providing guidance on how to fix them or document them appropriately in cran-comments.md for resubmission.

Can it help with DESCRIPTION file errors?

Yes, the skill validates high-frequency failure surfaces in the DESCRIPTION file, such as Title case compliance, missing 'cph' roles, and URL formatting.

Does this work with the Surveyverse framework?

Yes, it includes specific quality gates and conventions for Surveyverse projects, which take precedence over generic R package guidance.

Does it support local R package checks?

Yes, it provides a tool map for running local checks via devtools::check() and R CMD build to ensure your package is clean before it ever reaches CRAN servers.

CRAN Package Submission

Name: CRAN Package Submission
Author: JDenn0514

byJDenn0514

0•

データサイエンスとML

Guides the full-arc CRAN submission workflow for R packages, from initial preparation and check triage to reviewer responses.

This skill provides a comprehensive framework for navigating the rigorous CRAN submission process for R packages. It assists developers in executing R CMD check with the --as-cran flag, triaging errors, warnings, and notes, and generating essential documentation like cran-comments.md. By enforcing best practices from the Surveyverse and generic R package conventions, it helps ensure packages meet CRAN's strict requirements for metadata, documentation, and non-interactive environments, significantly reducing the likelihood of submission rejection.

主な機能

01Guidance on cross-platform testing using Win-builder and R-hub

020 GitHub stars

03Streamlined generation of cran-comments.md and NEWS.md files

04Automated R CMD check interpretation and triage of ERRORS, WARNINGS, and NOTEs

05Structured framework for responding to CRAN reviewer feedback point-by-point

06Validation of DESCRIPTION metadata, documentation compliance, and URL integrity

ユースケース

01Preparing a new R package for its maiden submission to CRAN

02Formulating technical justifications for CRAN NOTEs in cran-comments.md

03Resolving complex R CMD check failures during a package update cycle

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jdenn0514/surveycore cran

For use in Claude.ai and ChatGPT

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