From myai-tools
将 Docker 镜像同步到阿里云容器镜像服务(ACR)。支持单镜像和批量同步，自动轮询状态并返回 ACR 拉取地址。 触发词（中文）：同步镜像、镜像同步、docker镜像同步、ACR同步、阿里云镜像同步、同步到ACR、镜像搬运、 镜像迁移、把xxx镜像同步、帮我同步、拉取镜像到ACR、同步nginx、同步redis、同步某个镜像、镜像转存、 Docker Hub到阿里云、海外镜像同步、gcr.io同步、quay.io同步、ghcr.io同步、k8s镜像同步、gcr镜像、 quay镜像、ghcr镜像、docker.io镜像同步。 触发词（英文）：sync docker image、sync image to acr、image sync、mirror docker image、 docker image sync、sync nginx、sync redis、sync to aliyun、acr sync、container image sync。 使用场景：(1) 用户想将 Docker Hub/Google Container Registry/Quay/GitHub Container Registry 等海外镜像同步到阿里云 ACR；(2) 用户提到"同步"和"镜像"的组合；(3) 用户需要获取镜像的 ACR 拉取地址； (4) 用户提到"ACR"、"阿里云镜像"相关操作；(5) 批量同步多个镜像。
npx claudepluginhub lpx0312/myai-plugins --plugin myai-toolsThis skill uses the workspace's default tool permissions.
执行前需配置以下环境变量：
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
执行前需配置以下环境变量：
export IMAGE_SYNC_API_BASE="http://192.168.0.180:10003/api/v1"
export IMAGE_SYNC_USERNAME="XXXX"
export IMAGE_SYNC_PASSWORD="XXXX"
Windows (PowerShell):
$env:IMAGE_SYNC_API_BASE="http://192.168.0.180:10003/api/v1"
$env:IMAGE_SYNC_USERNAME="XXXX"
$env:IMAGE_SYNC_PASSWORD="XXXX"
建议将这些配置添加到
~/.bashrc或系统环境变量中持久化。
TOKEN=$(curl -sS -X POST "$IMAGE_SYNC_API_BASE/auth/login" \
-H "Content-Type: application/json" \
-d "{\"username\":\"$IMAGE_SYNC_USERNAME\",\"password\":\"$IMAGE_SYNC_PASSWORD\"}" | jq -r '.token')
Token 有效期 24 小时，后续请求需携带 Authorization: Bearer $TOKEN。
单镜像：
curl -sS -X POST "$IMAGE_SYNC_API_BASE/sync/submit" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN" \
-d '{"images":["nginx:latest"],"architecture":"amd64"}'
批量镜像：
curl -sS -X POST "$IMAGE_SYNC_API_BASE/sync/batch" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN" \
-d '{
"images": [
{"source_image": "nginx:latest", "architecture": "amd64"},
{"source_image": "redis:alpine", "architecture": "amd64"}
],
"max_concurrent": 3
}'
返回 task_id 用于查询状态。
# 等待 3-10 秒后首次查询，之后每 5-15 秒轮询一次
curl -sS -H "Authorization: Bearer $TOKEN" \
"$IMAGE_SYNC_API_BASE/sync/status/$TASK_ID" \
| jq '.images.records[] | {source:.original_image, acr:.acr_image, status:.sync_status}'
状态说明：
status): pending → running → completed/failed/partial_successsync_status): pending → syncing → success/failedacr_image 字段，同步成功后才有值#!/bin/bash
# 同步镜像并获取 ACR 地址
# 1. 登录
TOKEN=$(curl -sS -X POST "$IMAGE_SYNC_API_BASE/auth/login" \
-H "Content-Type: application/json" \
-d "{\"username\":\"$IMAGE_SYNC_USERNAME\",\"password\":\"$IMAGE_SYNC_PASSWORD\"}" | jq -r '.token')
# 2. 提交
TASK_ID=$(curl -sS -X POST "$IMAGE_SYNC_API_BASE/sync/submit" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN" \
-d '{"images":["nginx:latest"],"architecture":"amd64"}' | jq -r '.task_id')
echo "Task ID: $TASK_ID"
# 3. 轮询（最多 30 分钟）
for i in {1..120}; do
sleep 15
RESULT=$(curl -sS -H "Authorization: Bearer $TOKEN" \
"$IMAGE_SYNC_API_BASE/sync/status/$TASK_ID")
STATUS=$(echo "$RESULT" | jq -r '.status')
if [[ "$STATUS" == "completed" || "$STATUS" == "failed" || "$STATUS" == "partial_success" ]]; then
echo "$RESULT" | jq '.images.records[] | {source:.original_image, acr:.acr_image, status:.sync_status}'
break
fi
echo "[$i] Status: $STATUS, waiting..."
done
| 接口 | 方法 | 说明 |
|---|---|---|
/auth/login | POST | 登录获取 Token |
/sync/submit | POST | 单镜像同步 |
/sync/batch | POST | 批量同步 |
/sync/status/:taskId | GET | 查询任务状态 |
amd64 和 arm64/sync/batch/status/:taskId（勿用）