Execute automated smoke tests against a running Docker stack.
npx skills add https://github.com/dixus/claudeframework --skill smoke-dixus
Please help me install this Agent Skill. Skill: smoke Source: https://github.com/dixus/claudeframework/tree/main/.claude/skills/smoke Command: npx skills add https://github.com/dixus/claudeframework --skill smoke-dixus
Running deployments often lacks quick end-to-end validation. This Skill provides a fast, repeatable way to confirm that a Docker stack behaves as expected by executing lightweight smoke tests against a live environment.
Run the smoke tests against the running Docker stack for a spec.
High-intent search queries and answers about installing and using this skill.
To run smoke tests against a Docker stack, execute the skill to automatically detect a test spec, derive the runner from its file extension, and validate critical API routes via health endpoints without modifying application code.
Yes, you can integrate API health-check verification into CI/CD pipelines to catch regressions immediately after deployment by polling container status and health endpoints to verify uptime and end-to-end behavior.
Spec-driven smoke testing is the best way to validate API routes after deployment, automatically locating or creating a smoke test file to execute lightweight end-to-end checks against the live Docker environment.
No, you do not need to modify application code to verify end-to-end behavior; the skill validates API routes and checks container health by interacting with the running Docker stack externally.
Spec-driven smoke testing determines the appropriate test runner by deriving it directly from the file extension of the detected smoke test spec, which can be explicitly specified or automatically selected as the most recently modified.
Lightweight smoke tests provide a fast, repeatable way to confirm critical API routes and uptime immediately after deployment, catching regressions quickly without the overhead of full QA automation suites.
Srujan0798Run post-deploy smoke tests on health endpoints, auth flow, and data pipelines.
cegit27Monitor live production apps for console errors and performance regressions.
yocxy2Merge pull requests and verify production deployment health with canary checks.
qa-amanPlan, execute, and document QA test cycles with structured inputs and summaries.
