소스 정보
- 저장소
- microwind/ai-skills
- 최근 소스 활동
- 2026년 3월 26일 14:58
- 감지된 SKILL.md 언어
- 중국어
- 스타
- 68
- 포크
- 17
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/microwind/ai-skills --skill docker명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | Docker容器化 |
| description | 当实施Docker容器化时,分析容器架构设计,优化容器性能,解决容器相关问题。验证容器配置,设计微服务架构,和最佳实践。 |
| license | MIT |
Docker容器化是现代应用部署的核心技术。不当的容器化会导致资源浪费、性能问题和安全风险。在设计容器化方案前需要仔细分析应用需求。
核心原则: 好的容器化应该提升部署效率和可移植性,同时保证资源利用率。坏的容器化会增加运维复杂性,甚至影响应用性能。
始终:
触发短语:
问题:
容器资源配置不合理,导致性能问题
错误示例:
- CPU和内存限制过高或过低
- 没有设置资源限制
- 忽略资源使用监控
- 不合理的重启策略
解决方案:
1. 根据应用需求设置合理资源限制
2. 实施资源监控和告警
3. 优化容器启动参数
4. 配置合适的重启策略
问题:
Docker网络配置不当导致通信问题
错误示例:
- 使用默认桥接网络
- 端口映射冲突
- DNS解析问题
- 网络安全配置缺失
解决方案:
1. 使用自定义网络
2. 合理规划端口映射
3. 配置DNS服务
4. 实施网络隔离和安全策略
问题:
容器数据持久化和存储管理不当
错误示例:
- 数据存储在容器内部
- 没有备份策略
- 存储卷权限问题
- 存储空间不足
解决方案:
1. 使用数据卷持久化数据
2. 实施定期备份策略
3. 正确配置存储权限
4. 监控存储使用情况
import docker
import json
import time
import psutil
from typing import List, Dict, Any, Optional, Tuple
from dataclasses import dataclass
from collections import defaultdict
@dataclass
class ContainerMetrics:
"""容器指标"""
container_id: str
name: str
status: str
cpu_usage: float
memory_usage: float
memory_limit: float
network_io: Dict[str, int]
block_io: Dict[str, int]
pid_count: int
uptime: float
@dataclass
class ContainerIssue:
"""容器问题"""
container_id: str
severity: str # critical, high, medium, low
type: str
message: str
suggestion: str
metric_value: Optional[float] = None
class DockerContainerAnalyzer:
def __init__():
.client = docker.from_env()
.containers: [ContainerMetrics] = []
.issues: [ContainerIssue] = []
() -> [, ]:
:
containers = .client.containers.(=)
container containers:
metrics = .analyze_container(container.)
metrics:
.containers.append(metrics)
report = {
: (containers),
: ([c c containers c.status == ]),
: .containers,
: .issues,
: .generate_resource_summary(),
: .generate_recommendations(),
: .calculate_health_score()
}
report
Exception e:
{: }
() -> [ContainerMetrics]:
:
container = .client.containers.get(container_id)
stats = container.stats(stream=)
cpu_usage = .calculate_cpu_usage(stats)
memory_usage, memory_limit = .calculate_memory_usage(stats)
network_io = .calculate_network_io(stats)
block_io = .calculate_block_io(stats)
pid_count = stats.get(, {}).get(, )
uptime = .calculate_uptime(container)
metrics = ContainerMetrics(
container_id=container.,
name=container.name,
status=container.status,
cpu_usage=cpu_usage,
memory_usage=memory_usage,
memory_limit=memory_limit,
network_io=network_io,
block_io=block_io,
pid_count=pid_count,
uptime=uptime
)
.check_container_issues(metrics)
metrics
Exception e:
()
() -> :
:
cpu_stats = stats.get(, {})
precpu_stats = stats.get(, {})
cpu_delta = cpu_stats.get(, {}).get(, ) - \
precpu_stats.get(, {}).get(, )
system_cpu_delta = cpu_stats.get(, ) - \
precpu_stats.get(, )
system_cpu_delta > :
cpu_usage = (cpu_delta / system_cpu_delta) * \
(cpu_stats.get(, {}).get(, [])) *
:
cpu_usage =
(cpu_usage, )
Exception:
() -> [, ]:
:
memory_stats = stats.get(, {})
memory_usage = memory_stats.get(, )
memory_limit = memory_stats.get(, )
memory_usage, memory_limit
Exception:
,
() -> [, ]:
:
networks = stats.get(, {})
total_rx = (net.get(, ) net networks.values())
total_tx = (net.get(, ) net networks.values())
{
: total_rx,
: total_tx,
: total_rx + total_tx
}
Exception:
{: , : , : }
() -> [, ]:
:
blkio_stats = stats.get(, {})
io_service_bytes = blkio_stats.get(, [])
total_read = (item.get(, ) item io_service_bytes
item.get() == )
total_write = (item.get(, ) item io_service_bytes
item.get() == )
{
: total_read,
: total_write,
: total_read + total_write
}
Exception:
{: , : , : }
() -> :
:
container.status == :
info = container.attrs
started_at = info.get(, {}).get(, )
started_at:
start_time = time.strptime(started_at[:], )
uptime = time.time() - time.mktime(start_time)
uptime
Exception:
() -> :
metrics.cpu_usage > :
.issues.append(ContainerIssue(
container_id=metrics.container_id,
severity=,
=,
message=,
suggestion=,
metric_value=metrics.cpu_usage
))
metrics.memory_limit > :
memory_percent = (metrics.memory_usage / metrics.memory_limit) *
memory_percent > :
.issues.append(ContainerIssue(
container_id=metrics.container_id,
severity=,
=,
message=,
suggestion=,
metric_value=memory_percent
))
metrics.status == :
.issues.append(ContainerIssue(
container_id=metrics.container_id,
severity=,
=,
message=,
suggestion=
))
metrics.pid_count > :
.issues.append(ContainerIssue(
container_id=metrics.container_id,
severity=,
=,
message=,
suggestion=,
metric_value=metrics.pid_count
))
() -> [, ]:
.containers:
{}
total_cpu = (c.cpu_usage c .containers)
total_memory = (c.memory_usage c .containers)
total_memory_limit = (c.memory_limit c .containers c.memory_limit > )
running_containers = [c c .containers c.status == ]
{
: total_cpu,
: total_memory,
: total_memory_limit,
: (total_memory / total_memory_limit * ) total_memory_limit > ,
: (running_containers),
: total_cpu / (running_containers) running_containers ,
: total_memory / (running_containers) running_containers
}
() -> [[, ]]:
recommendations = []
issue_counts = defaultdict()
issue .issues:
issue_counts[issue.] +=
issue_counts[] > :
recommendations.append({
: ,
: ,
: ,
:
})
issue_counts[] > :
recommendations.append({
: ,
: ,
: ,
:
})
resource_summary = .generate_resource_summary()
resource_summary.get(, ) > :
recommendations.append({
: ,
: ,
: ,
:
})
recommendations
() -> :
.containers:
score =
issue .issues:
issue.severity == :
score -=
issue.severity == :
score -=
issue.severity == :
score -=
issue.severity == :
score -=
running_containers = ([c c .containers c.status == ])
total_containers = (.containers)
total_containers > :
running_ratio = running_containers / total_containers
score = score * running_ratio
(, (score))
:
():
.client = docker.from_env()
() -> [, ]:
:
networks = .client.networks.()
network_analysis = []
network networks:
analysis = {
: network.name,
: network.,
: network.attrs.get(, ),
: network.attrs.get(, ),
: (network.attrs.get(, {})),
: network.attrs.get(, ),
: []
}
analysis[] == analysis[] == :
analysis[].append({
: ,
: ,
:
})
analysis[] > :
analysis[].append({
: ,
: ,
:
})
network_analysis.append(analysis)
{
: (networks),
: network_analysis,
: .generate_network_recommendations(network_analysis)
}
Exception e:
{: }
() -> [[, ]]:
recommendations = []
bridge_networks = ([n n networks n[] == ])
overlay_networks = ([n n networks n[] == ])
bridge_networks > :
recommendations.append({
: ,
: ,
:
})
overlay_networks == (networks) > :
recommendations.append({
: ,
: ,
:
})
recommendations
:
():
.client = docker.from_env()
() -> [, ]:
:
volumes = .client.volumes.()
volume_analysis = []
volume volumes:
analysis = {
: volume.name,
: volume.attrs.get(, ),
: volume.attrs.get(, ),
: volume.attrs.get(, ),
: volume.attrs.get(, {}),
: .estimate_volume_usage(volume),
: []
}
analysis[] == :
analysis[].append({
: ,
: ,
:
})
volume_analysis.append(analysis)
{
: (volumes),
: volume_analysis,
: .generate_storage_recommendations(volume_analysis)
}
Exception e:
{: }
() -> [, ]:
:
mountpoint = volume.attrs.get(, )
mountpoint os.path.exists(mountpoint):
stat = os.statvfs(mountpoint)
total = stat.f_blocks * stat.f_frsize
free = stat.f_bfree * stat.f_frsize
used = total - free
{
: total,
: used,
: free,
: (used / total * ) total >
}
Exception:
{: , : , : , : }
() -> [[, ]]:
recommendations = []
local_volumes = ([v v volumes v[] == ])
local_volumes > :
recommendations.append({
: ,
: ,
:
})
high_usage_volumes = [v v volumes v[].get(, ) > ]
high_usage_volumes:
recommendations.append({
: ,
: ,
:
})
recommendations
():
container_analyzer = DockerContainerAnalyzer()
container_report = container_analyzer.analyze_all_containers()
()
()
()
()
network_manager = DockerNetworkManager()
network_report = network_manager.analyze_networks()
()
()
storage_manager = DockerStorageManager()
storage_report = storage_manager.analyze_volumes()
()
()
__name__ == :
main()
import docker
import yaml
import json
from typing import List, Dict, Any, Optional
from pathlib import Path
class DockerContainerOptimizer:
def __init__(self):
self.client = docker.from_env()
self.optimizations = []
def optimize_container_config(self, container_name: str) -> Dict[str, Any]:
"""优化容器配置"""
try:
container = self.client.containers.get(container_name)
# 获取当前配置
current_config = self.get_container_config(container)
# 分析优化建议
optimization_plan = self.analyze_optimization_opportunities(current_config)
# 生成优化后的配置
optimized_config = self.generate_optimized_config(current_config, optimization_plan)
return {
'container_name': container_name,
'current_config': current_config,
'optimization_plan': optimization_plan,
'optimized_config': optimized_config,
'estimated_improvements': self.estimate_improvements(current_config, optimized_config)
}
Exception e:
{: }
() -> [, ]:
:
info = container.attrs
config = {
: container.name,
: info.get(, {}).get(, ),
: info.get(, {}).get(, []),
: info.get(, {}).get(, []),
: info.get(, {}).get(, {}),
: info.get(, []),
: info.get(, {}).get(, {}),
: {
: info.get(, {}).get(, ),
: info.get(, {}).get(, ),
: info.get(, {}).get(, )
},
: info.get(, {}).get(, ),
: info.get(, {}).get(, ),
: info.get(, {}).get(, )
}
config
Exception e:
Exception()
() -> [[, ]]:
opportunities = []
config[][] == :
opportunities.append({
: ,
: ,
: ,
: ,
:
})
config[][] == :
opportunities.append({
: ,
: ,
: ,
: ,
:
})
config[]:
opportunities.append({
: ,
: ,
: ,
: ,
:
})
config[]:
opportunities.append({
: ,
: ,
: ,
: ,
:
})
restart_policy = config.get(, {})
restart_policy.get() == :
opportunities.append({
: ,
: ,
: ,
: ,
:
})
config[] == :
opportunities.append({
: ,
: ,
: ,
: ,
:
})
sensitive_env_vars = []
env config[]:
(key env.upper() key [, , , ]):
sensitive_env_vars.append(env)
sensitive_env_vars:
opportunities.append({
: ,
: ,
: ,
: ,
:
})
opportunities
() -> [, ]:
optimized_config = current_config.copy()
opportunity opportunities:
opportunity[] == :
opportunity[] == :
optimized_config[][] = * *
opportunity[] == :
optimized_config[][] =
opportunity[] == :
opportunity[] == :
optimized_config[] =
opportunity[] == :
optimized_config[] =
opportunity[] == :
opportunity[] == :
optimized_config[] = {
: ,
:
}
opportunity[] == :
opportunity[] == :
optimized_config[] =
optimized_config
() -> [, ]:
improvements = {
: ,
: ,
: ,
:
}
current_config[] optimized_config[]:
improvements[] +=
current_config[] optimized_config[]:
improvements[] +=
current_config[][] == optimized_config[][] > :
improvements[] +=
improvements[] +=
restart_policy = current_config.get(, {}).get(, )
optimized_restart_policy = optimized_config.get(, {}).get(, )
restart_policy == optimized_restart_policy != :
improvements[] +=
current_config[] == optimized_config[] != :
improvements[] +=
improvements[] = (
improvements[] +
improvements[] +
improvements[]
) //
improvements
() -> [, ]:
:
(compose_file, , encoding=) f:
compose_content = yaml.safe_load(f)
optimizations = []
services = compose_content.get(, {})
service_name, service_config services.items():
service_optimizations = .analyze_service_config(service_name, service_config)
optimizations.extend(service_optimizations)
optimized_compose = .generate_optimized_compose(compose_content, optimizations)
{
: compose_content,
: optimizations,
: optimized_compose,
: {
: (optimizations),
: ([o o optimizations o[] == ]),
: ([o o optimizations o[] == ])
}
}
Exception e:
{: }
() -> [[, ]]:
optimizations = []
deploy_config = service_config.get(, {})
deploy_config.get():
optimizations.append({
: service_name,
: ,
: ,
: ,
:
})
service_config.get():
optimizations.append({
: service_name,
: ,
: ,
: ,
:
})
logging_config = service_config.get(, {})
logging_config.get():
optimizations.append({
: service_name,
: ,
: ,
: ,
:
})
optimizations
() -> [, ]:
optimized_compose = original_compose.copy()
services = optimized_compose.get(, {})
optimization optimizations:
service_name = optimization[]
service_config = services.get(service_name, {})
optimization[] == :
service_config:
service_config[] = {}
service_config[][] = {
: {
: ,
:
},
: {
: ,
:
}
}
optimization[] == :
service_config[] = {
: [, , , ],
: ,
: ,
:
}
optimization[] == :
service_config[] = {
: ,
: {
: ,
:
}
}
services[service_name] = service_config
optimized_compose[] = services
optimized_compose
():
optimizer = DockerContainerOptimizer()
container_optimization = optimizer.optimize_container_config()
()
opt container_optimization[]:
()
compose_optimization = optimizer.generate_docker_compose_optimization()
()
()
__name__ == :
main()