R Package Check logo

R Package Check

CommunityPopular
pedrohcgs
r-package-check

Run the full R package release gate — regenerate docs, run the test suite, run R CMD check --as-cran, and triage every ERROR / WARNING / NOTE against CRAN policy before a release or submission. Use when the user says "check my R package", "R CMD check", "is this package CRAN-ready", "run devtools::check", "prepare for CRAN submission", or points at a directory containing a DESCRIPTION file. Produces a check report + CRAN-submission checklist in `quality_reports/`.

Overview

Publisherpedrohcgs
Repositoryclaude-code-my-workflow
Skill namer-package-check
Stars
1.6K
Forks
3.1K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by pedrohcgs on GitHub. Read the source before you install it.

Installation

Install the R Package Check AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/r-package-check
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/pedrohcgs/claude-code-my-workflow.git /tmp/claude-code-my-workflow
mkdir -p .claude/skills
cp -r /tmp/claude-code-my-workflow/.claude/skills/r-package-check .claude/skills/r-package-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable R Package Check in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads R Package Check on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so R Package Check is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/r-package-check — R Package Release Gate

Run the document → test → check → triage pipeline that decides whether an R package is releasable, then review the source for the issues R CMD check cannot see.

Input: $ARGUMENTS — the package root (a directory containing DESCRIPTION). If blank, autodetect by searching upward/within the working directory for DESCRIPTION.


Constraints

  • Follow .claude/rules/r-package-conventions.md — the CRAN-readiness bar (0 errors, 0 warnings, explained notes) is the gate.
  • Treat man/ and NAMESPACE as generated — regenerate with devtools::document(); never hand-edit them.
  • Run the r-package-reviewer agent on the source before declaring the package releasable.
  • Do not bump the version or write to CRAN. This skill checks; the human decides when to submit.

Workflow Phases

Phase 0: Pre-Flight Report

markdown
## Pre-Flight Report — R Package Check

**Package:** [name + version from DESCRIPTION]
**Root:** [path]
**Exported functions:** [from NAMESPACE / `@export` count]
**Dependencies:** Imports [list] · Suggests [list] · Depends [list]
**Toolchain available:** devtools [✓/✗], roxygen2 [✓/✗], testthat [✓/✗], R CMD [✓/✗], covr [✓/✗]
**Plan:** document → test → check --as-cran → triage → review

Detect the toolchain with a quick probe; if devtools/R CMD is missing, stop and tell the user what to install.

bash
Rscript -e 'cat("devtools:", requireNamespace("devtools", quietly=TRUE),
               "roxygen2:", requireNamespace("roxygen2", quietly=TRUE),
               "testthat:", requireNamespace("testthat", quietly=TRUE),
               "covr:", requireNamespace("covr", quietly=TRUE), "\n")'

Phase 1: Document

Regenerate man/ + NAMESPACE and detect drift (generated docs that were not committed):

bash
Rscript -e 'devtools::document("[pkg]")'
git -C "[pkg]" status --short man/ NAMESPACE   # any diff = generated docs were stale

If git status shows changes, flag: the committed man//NAMESPACE were out of sync with the roxygen blocks.

Phase 2: Test

bash
Rscript -e 'devtools::test("[pkg]")'

Report failures and (if covr is available, Phase 4) coverage of exported functions.

Phase 3: Check (--as-cran)

Run the full check. This is slow (minutes) — background-launch and stream with the Monitor tool rather than blocking:

bash
Rscript -e 'devtools::check("[pkg]", args = "--as-cran")'
# or: R CMD build [pkg] && R CMD check --as-cran [pkg]_*.tar.gz

Then triage every result into a table:

ResultTierCRAN-policy meaningAction
…ERROR / WARNING / NOTE…fix / justify
  • ERROR / WARNING → must fix before submission.
  • NOTE → fix if cheap; otherwise write the justification you'd put in cran-comments.md (e.g., "New submission", "Found the following (possibly) invalid URLs … the URL is correct and reachable").

Phase 4: Coverage (optional)

bash
Rscript -e 'covr::package_coverage("[pkg]")'

Report per-function coverage; flag exported functions with 0% coverage.

Phase 5: Source Review

Delegate to the r-package-reviewer agent:
"Review the package source at [pkg]"

The agent is read-only and returns its report; save it to quality_reports/[pkg]_package_review.md. Address Critical (CRAN-policy violations) and High (check WARNINGs) findings.

Phase 6: Release Gate + Report

Save a report to quality_reports/[package]_package_check.md and present a verdict:

markdown
## Release Gate — [package] [version]
- R CMD check --as-cran: E errors, W warnings, N notes
- Tests: P passed, F failed
- Coverage: X% of exported functions
- r-package-reviewer: C critical, H high
- **Verdict:** RELEASABLE / FIX-FIRST / POLICY-VIOLATION

### CRAN-submission checklist
[ ] 0 errors, 0 warnings; each note justified in cran-comments.md
[ ] Version bumped + NEWS.md updated
[ ] devtools::check_win_devel() / R-hub on other platforms (note: run separately)
[ ] Reverse-dependency check if this is an update (revdepcheck)

Important

  • --as-cran or it doesn't count. A plain R CMD check misses the policy checks that actually gate submission.
  • Generated files are generated. If docs drift, the fix is devtools::document(), not editing .Rd.
  • The gate is 0/0/explained. 0 errors, 0 warnings, every remaining note justified — nothing less is "CRAN-ready."
  • This skill does not submit. Cross-platform checks (win-devel, R-hub) and the actual devtools::release() are the maintainer's call.

Long-running checks: use the Monitor tool

R CMD check --as-cran and covr can run for several minutes. Don't block on them, and don't poll with sleep: start the Monitor tool with a command that runs the check itself, tees the full output to a log, and prints only the lines you would act on, e.g. Rscript -e 'devtools::check("[pkg]", args = "--as-cran")' 2>&1 | tee quality_reports/r-package-check.log | grep --line-buffered -E 'ERROR|WARNING|NOTE|Status:|[Ee]rror'. The watch ends when the check exits; set timeout_ms above the default 5 minutes (max 3600000). The filter must match failure as well as success, because silence looks the same as "still running". If you only need one notice when the check finishes, run it with Bash run_in_background: true instead and read the log when the job reports its exit. Monitor has no job-id parameter, so it cannot attach to a job already running in the background; see data-analysis/SKILL.md for the log-and-tail variant.

Frequently asked questions

What does the R Package Check AI skill do?

Run the full R package release gate — regenerate docs, run the test suite, run R CMD check --as-cran, and triage every ERROR / WARNING / NOTE against CRAN policy before a release or submission. Use when the user says "check my R package", "R CMD check", "is this package CRAN-ready", "run devtools::check", "prepare for CRAN submission", or points at a directory containing a DESCRIPTION file. Produces a check report + CRAN-submission checklist in `quality_reports/`.

Why use R Package Check on TypingMind?

Because you install it once and use it with any model. R Package Check is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install R Package Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/r-package-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use R Package Check?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with R Package Check?

As many as you like. As long as a model supports skills, you can use R Package Check with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the R Package Check AI skill free?

Yes. It is published on GitHub by pedrohcgs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇