upgrade-dependency

To upgrade a dependency safely, specify the package name, old version, and new version. The Skill updates the appropriate files, then runs install, build, and tests to verify compatibility.

Yes, dependency upgrades support multiple ecosystems. The process detects and updates common files like package.json, pom.xml, requirements.txt, pyproject.toml, and go.mod automatically.

The best way to automate dependency versioning is using parameter-driven inputs for package name and target versions. This triggers an automated validation workflow that runs installation, builds, and tests.

Dependency upgrade verification works by parsing package files, applying the version updates, and executing a validation workflow. It runs build and test commands to catch breaking changes, reporting modified files and outcomes.

Upgrading project dependencies modifies ecosystem-specific package files. This includes package.json, pom.xml, requirements.txt, pyproject.toml, and go.mod, depending on your project's language and framework.

You should validate dependency upgrades with a build process to ensure new versions do not introduce breaking changes. Running install, build, and tests verifies compatibility and maintains project stability across updates.