AgentSkillsCN

devops-packaging-service-flow

服务打包脚手架的分步流程。关键词：打包、服务、流程。

SKILL.md
--- frontmatter
name: devops-packaging-service-flow
description: "Step-by-step flow for service packaging scaffolding. Keywords: packaging, service, flow."

Flow: HTTP Service Packaging

This doc contains the step-by-step flow. For inputs, tools, outputs, and safety, see /.system/skills/ssot/repo/scaffolding/devops-packaging-service/SKILL.md.

Step-by-Step Flow (AI + Human)

Step 1: Collect Parameters (AI -> Human)

AI asks human for:

  1. •Service name for the image
  2. •Which module to package
  3. •Service port
  4. •Optional: base image, registry URL

Human checkpoint: Confirm parameters before proceeding.

Step 2: Validate Inputs (AI)

AI validates:

  • •Module exists and has source code
  • •Service name follows naming conventions
  • •Port is valid

Step 3: Preview Changes (AI)

AI runs orchestrator with --dry-run:

bash
python scripts/devops/scaffold/devops_packaging_service.py   --service-name "<service_name>"   --module-id "<module_id>"   --port 8080   --dry-run

AI presents planned_changes to human.

Human checkpoint: Review and approve planned changes.

Step 4: Execute Scaffold (AI)

AI runs orchestrator without --dry-run:

bash
python scripts/devops/scaffold/devops_packaging_service.py   --service-name "<service_name>"   --module-id "<module_id>"   --port 8080

Step 5: Review Generated Files (AI + Human)

AI presents generated files for review:

  • •Dockerfile
  • •Build script
  • •Packaging configuration

Human checkpoint: Review generated files and customize if needed.

Step 6: Record in Workdocs (AI)

AI records scaffold execution in /ops/packaging/workdocs/:

  • •Service name and module
  • •Configuration decisions
  • •Follow-up tasks (build, push, deploy)