Docker Wrap
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About this skill
Problem
When Docker work moves from local builds into scripts, CI, or GitHub Actions, commands often end up scattered across shell history, README notes, and one-off scripts. Tasks like docker build, docker compose, image cleanup, and log inspection are simple in isolation, but they become harder to reuse or debug when an agent needs a consistent context. Docker Wrap is not a replacement for Docker; it focuses on wrapping these scattered actions into describable engineering flows.
How To Use It
Based on the wrap, github, and automation tags, this skill fits best with:
- Fixed entry points: turning common Docker commands, checks, and caveats into explicit steps instead of ad-hoc terminal commands.
- Automation handoff: using it as a checklist, flow description, or helper layer within existing GitHub or CI workflows.
- Reduced ambiguity: making “what to run first” and “which output to inspect” readable for model execution.
Keep the scope in mind: the current SKILL.md does not disclose specific commands, templates, or execution scripts, so it should not be treated as a full Docker management platform. For private registry authentication, multi-arch builds, production deployment, or complex networking, rely on the repository’s existing CI setup, Docker documentation, and local validation.
Use Cases
- Before local image builds, turn `docker build`, cache cleanup, and common failure checks into fixed steps.
- Add reusable notes for Docker tasks in GitHub Actions instead of leaving commands scattered in script comments.
- Before an agent runs Docker flows, specify files, outputs, and auth states to check, reducing ad-hoc commands.
- During CI failure triage, break log checks, image builds, and compose service checks into traceable steps.
Best For
- Engineering teams maintaining Docker images or CI scripts who want repeated commands turned into explainable flows.
- Developers using agents for development tasks who need explicit prechecks and failure-triage entry points.
- GitHub Actions maintainers who want Docker steps moved from personal habits into shared checklists.
- Backend engineers debugging local build failures who want common error checks and cleanup steps fixed down.
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