Automate smoke-testing of start scripts across Bun monorepo workspaces.
npx skills add https://github.com/vitaliytv/7n --skill n-start-check
Please help me install this Agent Skill. Skill: n-start-check Source: https://github.com/vitaliytv/7n/tree/main/.cursor/skills/n-start-check Command: npx skills add https://github.com/vitaliytv/7n --skill n-start-check
This Skill automates the verification of workspace startup in a Bun monorepo, identifying immediate crashes or configuration issues before they impact development.
Run the n-start-check skill from the root of your repository to verify that all workspaces start correctly without errors.
High-intent search queries and answers about installing and using this skill.
To run smoke tests in a Bun monorepo, you execute the skill from the repository root. It automatically scans workspaces and sequentially executes start scripts to identify initialization failures and configuration errors.
Automated smoke testing for Bun monorepos is the process of sequentially executing workspace start scripts to verify service readiness. It identifies immediate crashes, missing dependencies, and configuration issues before they impact development.
Yes, you need the @nitra/cursor CLI to automate workspace scanning in a Bun monorepo. The CLI is required to manage process execution, workspace detection, and state restoration during smoke testing.
Yes, smoke testing start scripts can safely revert file system changes in a Bun monorepo. The skill manages side-effects by identifying and restoring any file modifications caused by test runs to maintain repository integrity.
The best way to catch initialization failures in a Bun monorepo is using automated smoke testing. It sequentially verifies each workspace's start script to immediately detect service crashes and missing dependencies.
Workspace startup fails during automated Bun monorepo checks due to initialization failures, missing dependencies, or configuration errors. The smoke test isolates these issues by executing start scripts sequentially across detected workspaces.
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