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Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation.
Passed 20 of 23 test cases with the skill, and 15 of 23 without it.
and 5 more in the full report
6 fixed14 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Define the apply job in a Terraform `.gitlab-ci.yml` pipeline that auto-approves execution using a saved plan artifact, depends on the plan stage, and runs manually on main.
| Checked | Without skill | With skill |
|---|---|---|
| Includes dependencies pointing to plan job | Passed | Passed |
| Executes terraform apply with -auto-approve flag | Missed | Passed |
The instructions your model reads when the skill loads.
Comprehensive GitLab CI/CD pipeline patterns for automated testing, building, and deployment.
Create efficient GitLab CI pipelines with proper stage organization, caching, and deployment strategies.
stages:
- build
- test
- deploy
variables:
DOCKER_DRIVER: overlay2
DOCKER_TLS_CERTDIR: "/certs"
build:
stage: build
image: node:20
script:
- npm ci
- npm run build
artifacts:
paths:
- dist/
expire_in: 1 hour
cache:
key: ${CI_COMMIT_REF_SLUG}
test cases passed, vs 15 / 23 without
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