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Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
Passed 18 of 20 test cases with the skill, and 3 of 20 without it.
and 26 more in the full report
17 fixed3 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before publishing our GitHub tag, we want to run unit, integration, e2e, and performance test suites across Node 16, 18, and 20 environments without stopping on the first failure. Provide the release testing CLI command.
| Checked | Without skill | With skill |
|---|---|---|
| Uses claude-flow github release-test command | Missed | Passed |
| Includes fail-fast false flag to ensure complete test execution across environments | Missed | Passed |
The instructions your model reads when the skill loads.
Intelligent release automation and orchestration using AI swarms for comprehensive software releases - from changelog generation to multi-platform deployment with rollback capabilities.
# Plan and create a release
gh release create v2.0.0 \
--draft \
--generate-notes \
--title "Release v2.0.0"
# Orchestrate with swarm
npx claude-flow github release-create \
--version "2.0.0" \
--build-artifacts \
--deploy-targets "npm,docker,github"
# Initialize release swarm
npx claude-flow swarm init --topology hierarchical
# Execute complete release pipeline
npx claude-flow sparc pipeline "Release v2.0.0 with full validation"
test cases passed, vs 3 / 20 without
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