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Simulate a CRAN reviewer evaluating myIO for acceptance. Adversarial review that flags rejection risks before you submit.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Carry one human-approved myIO package issue through test-first implementation, package checks, and an unmerged PR without releasing or submitting to CRAN. Use for scheduled myIO backlog work.
Research myIO package, chart-engine, MCP, CRAN, compatibility, and performance opportunities and create evidence-backed research candidates. Use for scheduled myIO scouting or inbound enhancement triage.
Run R CMD check --as-cran on the myIO package, parse the output, and map each ERROR/WARNING/NOTE to a concrete fix
End-to-end CRAN submission workflow for myIO — pre-checks, fix cycles, tarball build, cran-comments.md, and resubmission handling. Use when preparing to submit or resubmit to CRAN, or when you receive CRAN reviewer feedback.
Bump version (semver-computed from what's actually merged), finalize NEWS.md, run the full CRAN-readiness gate, build the tarball, tag and create the GitHub Release. Stops before the actual CRAN upload/email confirmation — that step needs the maintainer. Designed for scheduled one-time invocation.
Document and enforce R package versioning strategy for myIO. Covers semantic versioning, backward compatibility policy, deprecation schedules, and CRAN constraints. Use when planning a release, deprecating a function, or documenting versioning decisions.
| name | cran-review |
| description | Simulate a CRAN reviewer evaluating myIO for acceptance. Adversarial review that flags rejection risks before you submit. |
Simulate a CRAN volunteer reviewer evaluating myIO for acceptance. Perform the review directly or use a read-only review subagent when explicitly requested.
Read the core package files:
DESCRIPTIONNAMESPACEcran-comments.mdinst/ directory listing.RbuildignoreIf $ARGUMENTS specifies a focus area, weight that area more heavily but still review everything.
If R CMD check output exists in myIO.Rcheck/00check.log, read it. Otherwise note that check hasn't been run.
Delegate to the cran-reviewer agent with all gathered context.
Return the simulated reviewer email and detailed findings.
/cran-submit — catch issues early/cran-review — verify fixes