pipeline-plugin-development

To develop a BK-CI pipeline plugin, you use this skill to generate starter templates, wire pipeline Atoms, and configure task.json for standardized inputs and outputs. It provides concrete implementation steps across multiple languages.

Yes, you can build BK-CI pipeline plugins using Python, Java, NodeJS, and Golang. The skill provides multi-language examples and guidance for implementing, testing, and deploying plugins in your preferred environment.

The best way to debug a BK-CI pipeline plugin locally is to follow the skill's dedicated debugging procedures. It provides concrete steps to iterate, run local debug sessions, and verify plugin inputs and outputs before publishing.

Yes, you need local toolchains and SDKs installed to create BK-CI pipeline plugins. This skill assumes your development environment is pre-configured and provides implementation guidance rather than handling the underlying SDK installation.

To publish a pipeline plugin to BK-CI, follow the skill's release procedures after configuring task.json and verifying local debug sessions. It outlines the necessary steps to deploy your plugin for automating pipeline tasks.