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Docker Cicd Patterns | Skills Pool

Skill-Datei

Docker Cicd Patterns

Use this skill when creating or modifying Dockerfiles, docker-compose files, GitHub Actions workflows, or deployment pipelines. Triggers on: container builds, CI/CD configuration, deployment automation, Azure Container App Jobs, Docker Hub, or any mention of "Docker", "container", "GitHub Actions", "workflow", "CI/CD", "pipeline", "deploy", or "build".

CodeHalwell0 Sterne04.03.2026

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Kategorien: CI/CD

Skill-Inhalt

Docker & CI/CD Patterns — DoclingOptimisation

Dockerfile Standards

Multi-stage build: builder (compile deps, pre-fetch models) + runtime (slim, non-root)
Base image: python:3.14-slim-bookworm (pinned, not :latest)
Non-root user: docling:docling
uv for package management — uv sync --frozen --no-dev
Models pre-fetched at build time (no network at runtime)
CPU-only PyTorch from https://download.pytorch.org/whl/cpu
.dockerignore excludes .git, .claude, .history, .firecrawl, logs, research docs

Docker Compose (Local Dev)

Compose-native limits (mem_limit, cpus) for Docker Desktop
Volume mounts: ./input:/home/docling/input:ro, ./output:/home/docling/output
Default threads: for local benchmarking

Verwandte Skills

Schnellinstallation

Docker Cicd Patterns

npx skillvault add CodeHalwell/codehalwell-doclingoptimisation-claude-skills-docker-cicd-patterns-skill-md

Skill herunterladen Repository öffnen

Autor: CodeHalwell
Sterne: 0
Aktualisiert: 04.03.2026
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01Docker & CI/CD Patterns — DoclingOptimisation

DOCLING_NUM_THREADS=10

Azure Container App Job

This is a batch/one-shot workload — use Container App Jobs, NOT revision-based apps
CPU profile: 4 vCPUs / 8 Gi, set DOCLING_NUM_THREADS=4
GPU profile: NC8as-T4 / 8 vCPUs / 56 Gi, requires CUDA PyTorch build, set DOCLING_DEVICE=cuda
Container registry: Docker Hub (migration to ACR planned)

GitHub Actions

Separate CI (lint, format-check, type-check) from CD (build, push to Docker Hub)
Use astral-sh/setup-uv@v4 for uv in CI
Use --frozen for reproducible installs
Pin action versions
Use concurrency groups to cancel redundant runs
For Docker Hub: use docker/login-action@v3 + docker/build-push-action@v6

Image Tagging

latest for main branch
sha-<short-sha> for every push
Semantic version tags for releases

02

Dockerfile Standards

03Docker Compose (Local Dev)

04Azure Container App Job

05GitHub Actions

06Image Tagging

Softwareentwickler

Github

GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.

Openclaw Parallels Smoke

End-to-end Parallels smoke, upgrade, and rerun workflow for OpenClaw across macOS, Windows, and Linux guests. Use when Codex needs to run, rerun, debug, or interpret VM-based install, onboarding, gateway smoke tests, latest-release-to-main upgrade checks, fresh snapshot retests, or optional Discord roundtrip verification under Parallels.

Update Screenshots

Download screenshot baselines from the latest CI run and commit them. Use when asked to update, accept, or refresh component screenshot baselines from CI, or after the screenshot-test GitHub Action reports differences. This skill should be run as a subagent.

microsoft184.0k

Azure Pipelines

Use when validating Azure DevOps pipeline changes for the VS Code build. Covers queueing builds, checking build status, viewing logs, and iterating on pipeline YAML changes without waiting for full CI runs.

microsoft184.0k

Deployment Patterns

部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单。

Deployment Patterns

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up deployment infrastructure or planning releases.

Softwareentwickler