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Deployment readiness check for the aiagent project. Verifies the release pipeline, Docker build, and all 7 binary targets are ready before tagging a release. Uses the devops agent.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Full Agent Development Life Cycle pipeline for the aiagent project. Runs story refinement → design → implementation planning (with human approval checkpoint) → implementation → testing → security → database → devops. Each coding phase uses a doer + antagonistic reviewer loop requiring score >= 8/10.
Create a detailed user story for the aiagent project with acceptance criteria and technical breakdown. Uses the story-refiner agent to explore the codebase and produce a structured story artifact.
Database schema + review loop for the aiagent project. The dba agent designs schema changes ensuring JSON/MongoDB storage duality, then the dba-reviewer scores the changes against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.
Architecture design + review loop for the aiagent project. The architect designs a solution following DDD patterns, then the architect-reviewer scores it against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.
DevOps pipeline + review loop for the aiagent project. The devops agent manages CI/CD and Docker changes, then the devops-reviewer scores against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.
Code implementation + review loop for the aiagent project. The developer implements changes following the approved plan, then the developer-reviewer scores the code against the 6 pillars including a mandatory duplication check. Loops until score >= 8/10 or 3 iterations maximum.
| name | deploy |
| description | Deployment readiness check for the aiagent project. Verifies the release pipeline, Docker build, and all 7 binary targets are ready before tagging a release. Uses the devops agent. |
| user-invocable | true |
| argument-hint | v1.5.0 |
| context | fork |
Prepare deployment for:
Use the Agent tool with subagent_type: "devops" to verify deployment readiness.
Pass it the version to release (e.g., v1.5.0) and ask it to:
Verify the codebase is ready:
go fmt ./...
go vet ./...
go mod tidy
go build .
go test ./... -race
Verify cross-compilation works:
GOOS=linux GOARCH=amd64 go build -o /tmp/aiagent-linux-x86_64 .
GOOS=linux GOARCH=arm64 go build -o /tmp/aiagent-linux-arm64 .
GOOS=darwin GOARCH=arm64 go build -o /tmp/aiagent-macos-arm64 .
GOOS=windows GOARCH=amd64 go build -o /tmp/aiagent-windows-x86_64.exe .
Verify Docker build:
docker-compose build
Check go version matches pipeline:
go directive in go.mod with go-version in .github/workflows/release.ymlCheck all 7 targets in pipeline:
Report the release checklist:
## Release Readiness: [version]
- [ ] All tests pass (`go test ./... -race`)
- [ ] Code is formatted (`go fmt ./...`)
- [ ] No vet warnings (`go vet ./...`)
- [ ] Dependencies are tidy (`go mod tidy`)
- [ ] Cross-compilation verified (at least 4 targets)
- [ ] Docker build succeeds
- [ ] Go version consistent between go.mod and pipeline
- [ ] All 7 pipeline targets present
### Next Steps
1. `git tag [version]`
2. `git push origin [version]`
3. GitHub Actions will build and upload release binaries automatically