rstudio-update-copilot

To update the pinned copilot-language-server version across RStudio, use this skill to modify COPILOT_VERSION strings in multiple files, create a feature branch, and open a pull request. It validates the X.Y.Z format and ensures repository consistency before submission.

Uploading a new copilot-language-server to S3 requires git, the AWS CLI, and access to the rstudio-buildtools S3 bucket. The skill handles the S3 upload and validates the installation in a sandboxed environment before opening a PR.

Yes, the copilot-language-server update workflow applies to both macOS and Linux environments. The skill ensures cross-file version updates and validates the S3 upload and install across these supported platforms before opening a pull request.

The best way to automate a Copilot Language Server version bump in RStudio is using this skill to handle version validation, cross-file updates, S3 delivery, install verification, and pull request creation in a single end-to-end workflow.

The copilot-language-server version bump fails without S3 bucket access because the workflow depends on uploading the new language server version to the rstudio-buildtools S3 bucket and validating the install before opening a pull request.

You need to update the COPILOT_VERSION string when bumping the copilot-language-server to a new X.Y.Z release. The skill ensures all version strings across multiple files remain consistent within the RStudio codebase to prevent installation mismatches.