brightdata-ci-integration
Configure Bright Data CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Bright Data tests into your build process. Trigger with phrases like "brightdata CI", "brightdata GitHub Actions", "brightdata automated tests", "CI brightdata". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill brightdata-ci-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Bright Data CI Integration ## Overview Set up CI/CD pipelines for Bright Data scraping projects with GitHub Actions. Includes mocked unit tests that run without proxy access and optional live integration tests that verify actual proxy connectivity. ## Prerequisites - GitHub repository with Actions enabled - Bright Data test zone credentials - npm/pnpm project configured ## Instructions ### Step
What does the brightdata-ci-integration skill do?
Configure Bright Data CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Bright Data tests into your build process. Trigger with phrases like "brightdata CI", "brightdata GitHub Actions", "brightdata automated tests", "CI brightdata". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill brightdata-ci-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
