Pipeline structure that fails fast and honestly: what to run per-commit versus nightly, caching that does not go stale, and flaky-test quarantine that does not hide regressions.
SkillScore73Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/3/2026
What it changes
Passed 16 of 22 test cases with the skill, and 14 of 22 without it.
Without skill64%
With skill73%
Checks it passed that the model alone missed
Configures early pipeline stages to terminate execution immediately upon encountering a failure.
Establishes a quarantine process for flaky tests to track intermittent failures without masking code regressions.
Recommends isolating flaky tests into a quarantined suite that executes without failing the primary pull request build status.
3 fixed13 passed either way5 still failing1 broke
Pass-rate lift
+9 pp
Tokens
+4%
Agent turns
0%
Response time
+7%
Model gemini-3.6-flashMeasured 8/3/2026v116 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 3
Prompt
Can you help me design a CI pipeline strategy that separates fast check-in feedback from heavier nightly builds, including a recommended breakdown of jobs and caching rules?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends isolating flaky tests into a quarantined suite that executes without failing the primary pull request build status.
Missed
Passed
Allocates fast unit testing and static analysis to commit checks while delegating heavy integration suites to scheduled nightly builds.
Passed
Passed
Uses lockfile hash digests in cache key definitions to prevent stale dependency reuse.
Passed
Passed
case-01 · gemini-3.6-flash · 8/3/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md5 linessingle file
ci-pipelines
Pipeline structure that fails fast and honestly: what to run per-commit versus
nightly, caching that does not go stale, and flaky-test quarantine that does
not hide regressions.
Query construction, N+1 detection and migration safety for Django: select_related vs prefetch_related, when a migration needs a separate data step, and how to read the SQL a queryset actually emits.