Five skills covering the full R package lifecycle: init, quality, check notes, CI gates, and collaboration/release.
Plugin r-package-dev from marketplace r-package-dev-marketplace in shajoezhu/skills_codebuddy_rpackagedev. Commands read from the repo's manifest — 1 month ago.
r-package-check-notesDrive R CMD check to zero errors, warnings and notes in a package that sets enforce-note-blocklist — the eight blocked NOTE patterns, what causes each, and how to fix it. Use when R CMD check fails, when a CI check job reports a NOTE, or when cleaning up a package before release or CRAN submission.
r-package-ci-gatesMap of the insightsengineering/r.pkg.template CI jobs (R CMD check, non-CRAN check, coverage, linter, roxygen, gitleaks, spelling, links, version, version bump, licenses, grammar) — what each enforces, when it runs, and how to reproduce it locally before pushing. Use when working in an R package tha
r-package-collaborationPut an R package under version control and ship it — git/GitHub setup and SSH keys, branch and pull-request workflow, semantic versioning, git tags and GitHub releases, GitHub Actions CI via r-lib/actions, and a pkgdown documentation site on GitHub Pages. Use when the user asks to version, tag, rele
r-package-initScaffold and structure a new R package the "good software engineering practice" way — design docs, usethis setup, DESCRIPTION fields, R/ and roxygen2 documentation, NAMESPACE, tests/data/vignettes folders, and the document-check-build-install loop. Use when the user wants to create a new R package,
r-package-qualityRaise the quality of an R package — apply clean code rules (CCR#1-10), write testthat unit/integration/snapshot tests, raise coverage with covr, format with styler and lint with lintr, and gate on devtools::check(). Use when the user asks to refactor, test, lint, add assertions, improve coverage, or
r-package-check-notesUse this agent to drive R CMD check to zero errors, warnings and notes — diagnose and fix the eight blocked note-blocklist patterns and other check output, following the ERROR → WARNING → NOTE severity ladder. Trigger when R CMD check fails, when a CI check job reports a NOTE or WARNING, or when cle
r-package-ci-gatesUse this agent to explain and reproduce the insightsengineering/r.pkg.template CI jobs locally and get a change ready to push — map a failing CI job (r-cmd, r-cmd-non-cran, coverage, linter, roxygen, gitleaks, spelling, links, version, vbump, audit, licenses, grammar) to the local command that repro
r-package-collaborationUse this agent to put an R package under version control and ship it — git/GitHub and SSH key setup, the branch and pull-request workflow, semantic versioning, git tags vs GitHub releases, GitHub Actions CI via r-lib/actions, and a pkgdown documentation site on GitHub Pages. Trigger when the user as
r-package-qualityUse this agent to raise the quality of an existing R package — refactor toward the clean code rules, write testthat unit/integration/snapshot tests, raise covr coverage, format with styler, lint with lintr, and gate on devtools::check(). Trigger when the user asks to refactor, add tests, improve cov
Generate natively editable PPTX from PDF / DOCX / URL / Markdown — real DrawingML shapes, text boxes, charts, and animations. Note: run `pip install -r requirements.txt` inside the installed plugin directory for the Python post-processing scripts to work.
1 skill
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
8 skills · 1 MCP server
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
6 skills · 11 MCP servers
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.
6 skills · 7 commands · 2 agents
Developer experience essentials: GitHub Actions debugging, conversation half/quarter-cloning, context handoffs, research (Reddit and Hacker News), private GitHub search, and Claude Code version checks
9 skills
Nine-skill stack for top-5 economics manuscripts (AER / AER: Insights / AEJ): topic selection, modern causal identification (DiD / IV / RDD / SCM / Bartik), referee-anticipating robustness, Keith-Head-style introductions, AER booktabs tables, AEA Data and Code Availability deposits (openICPSR-ready), submission preflight, and R&R rebuttal letters. Ships Stata / R / Python templates and classic-AER-paper exemplars.
15 skills
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