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Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Passed 22 of 23 test cases with the skill, and 4 of 23 without it.
and 20 more in the full report
18 fixed4 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to bootstrap a fresh GitHub Actions pipeline for a newly cloned project. Rather than writing a static .github/workflows/main.yml manually or using `gh workflow new`, what single terminal command should be run to inspect the repo's languages and structure to build an optimal workflow configuration?
| Checked | Without skill | With skill |
|---|---|---|
| Executes `npx ruv-swarm actions generate-workflow`. | Missed | Passed |
| Includes options to analyze codebase structure and detect project languages. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides comprehensive GitHub Actions automation with AI swarm coordination. It integrates intelligent CI/CD pipelines, workflow orchestration, and repository management to create self-organizing, adaptive GitHub workflows.
# Start with a simple workflow
npx ruv-swarm actions generate-workflow \
--analyze-codebase \
--detect-languages \
--create-optimal-pipeline
# Optimize existing workflow
npx ruv-swarm actions optimize \
--workflow ".github/workflows/ci.yml" \
--suggest-parallelization
# Analyze failed runs
gh run view <run-id> --json jobs,conclusion | \
npx ruv-swarm actions analyze-failure \
--suggest-fixes
test cases passed, vs 4 / 23 without
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