skills/aws-cost-cleanup/SKILL.md
Automated cleanup of unused AWS resources to reduce costs
npx skillsauth add aaaaqwq/agi-super-skills aws-cost-cleanupInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Automate the identification and removal of unused AWS resources to eliminate waste.
Use this skill when you need to automatically clean up unused AWS resources to reduce costs and eliminate waste.
Storage
Compute
Networking
#!/bin/bash
# cleanup-unused-ebs.sh
echo "Finding unattached EBS volumes..."
VOLUMES=$(aws ec2 describe-volumes \
--filters Name=status,Values=available \
--query 'Volumes[*].VolumeId' \
--output text)
for vol in $VOLUMES; do
echo "Would delete: $vol"
# Uncomment to actually delete:
# aws ec2 delete-volume --volume-id $vol
done
#!/bin/bash
# cleanup-old-snapshots.sh
CUTOFF_DATE=$(date -d '90 days ago' --iso-8601)
aws ec2 describe-snapshots --owner-ids self \
--query "Snapshots[?StartTime<='$CUTOFF_DATE'].[SnapshotId,StartTime,VolumeSize]" \
--output text | while read snap_id start_time size; do
echo "Snapshot: $snap_id (Created: $start_time, Size: ${size}GB)"
# Uncomment to delete:
# aws ec2 delete-snapshot --snapshot-id $snap_id
done
#!/bin/bash
# release-unused-eips.sh
aws ec2 describe-addresses \
--query 'Addresses[?AssociationId==null].[AllocationId,PublicIp]' \
--output text | while read alloc_id public_ip; do
echo "Would release: $public_ip ($alloc_id)"
# Uncomment to release:
# aws ec2 release-address --allocation-id $alloc_id
done
# Apply lifecycle policy to transition old objects to cheaper storage
cat > lifecycle-policy.json <<EOF
{
"Rules": [
{
"Id": "Archive old objects",
"Status": "Enabled",
"Transitions": [
{
"Days": 90,
"StorageClass": "STANDARD_IA"
},
{
"Days": 180,
"StorageClass": "GLACIER"
}
],
"NoncurrentVersionExpiration": {
"NoncurrentDays": 30
},
"AbortIncompleteMultipartUpload": {
"DaysAfterInitiation": 7
}
}
]
}
EOF
aws s3api put-bucket-lifecycle-configuration \
--bucket my-bucket \
--lifecycle-configuration file://lifecycle-policy.json
#!/usr/bin/env python3
# calculate-savings.py
import boto3
from datetime import datetime, timedelta
ec2 = boto3.client('ec2')
# Calculate EBS volume savings
volumes = ec2.describe_volumes(
Filters=[{'Name': 'status', 'Values': ['available']}]
)
total_size = sum(v['Size'] for v in volumes['Volumes'])
monthly_cost = total_size * 0.10 # $0.10/GB-month for gp3
print(f"Unattached EBS Volumes: {len(volumes['Volumes'])}")
print(f"Total Size: {total_size} GB")
print(f"Monthly Savings: ${monthly_cost:.2f}")
# Calculate Elastic IP savings
addresses = ec2.describe_addresses()
unused = [a for a in addresses['Addresses'] if 'AssociationId' not in a]
eip_cost = len(unused) * 3.65 # $0.005/hour * 730 hours
print(f"\nUnused Elastic IPs: {len(unused)}")
print(f"Monthly Savings: ${eip_cost:.2f}")
print(f"\nTotal Monthly Savings: ${monthly_cost + eip_cost:.2f}")
print(f"Annual Savings: ${(monthly_cost + eip_cost) * 12:.2f}")
import boto3
from datetime import datetime, timedelta
def lambda_handler(event, context):
ec2 = boto3.client('ec2')
# Delete unattached volumes older than 7 days
volumes = ec2.describe_volumes(
Filters=[{'Name': 'status', 'Values': ['available']}]
)
cutoff = datetime.now() - timedelta(days=7)
deleted = 0
for vol in volumes['Volumes']:
create_time = vol['CreateTime'].replace(tzinfo=None)
if create_time < cutoff:
try:
ec2.delete_volume(VolumeId=vol['VolumeId'])
deleted += 1
print(f"Deleted volume: {vol['VolumeId']}")
except Exception as e:
print(f"Error deleting {vol['VolumeId']}: {e}")
return {
'statusCode': 200,
'body': f'Deleted {deleted} volumes'
}
Discovery Phase (Read-only)
Validation Phase
Execution Phase (Dry-run first)
Verification Phase
Discovery
Execution
Automation
# Run cleanup across multiple accounts
for account in $(aws organizations list-accounts \
--query 'Accounts[*].Id' --output text); do
echo "Checking account: $account"
aws ec2 describe-volumes \
--filters Name=status,Values=available \
--profile account-$account
done
# Create CloudWatch alarm for cost anomalies
aws cloudwatch put-metric-alarm \
--alarm-name high-cost-alert \
--alarm-description "Alert when daily cost exceeds threshold" \
--metric-name EstimatedCharges \
--namespace AWS/Billing \
--statistic Maximum \
--period 86400 \
--evaluation-periods 1 \
--threshold 100 \
--comparison-operator GreaterThanThreshold
Medium Risk Actions:
Always:
# Analyze and cleanup in one command
kiro-cli chat "Use aws-cost-cleanup to find and remove unused resources"
# Generate cleanup script
kiro-cli chat "Create a safe cleanup script for my AWS account"
# Schedule automated cleanup
kiro-cli chat "Set up weekly automated cleanup using aws-cost-cleanup"
testing
AI驱动的智能浏览器自动化工具。使用LLM理解页面并自动执行任务,比传统Playwright更智能、更省token。适用于复杂交互、动态页面、需要智能决策的浏览器操作。Chrome浏览器优先。
tools
网页登录态管理。使用 fast-browser-use (fbu) 管理各平台登录状态,定期检查可用性,新平台授权时自动保存 profile。
development
Monitor and report on API provider quotas, balances, and usage. Query official providers (Moonshot, DeepSeek, xAI, Google AI Studio) and relay/proxy providers (Xingjiabiapi, Aixn, WoW) via their billing APIs. Also checks subscription services (Brave Search, OpenRouter). Generates quota reports. Triggers on "查额度", "API余额", "quota check", "billing report", "api balance", "供应商额度", "中转站余额", "费用报告", "check balance", "how much credit".
development
# A股基金监控 Skill A股基金净值监控,支持实时估值和盘后净值,自动判断交易日/节假日。 ## 用法 ### 快速监控(命令行) ```bash # 默认配置,输出到控制台 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh # 推送到群(使用--push参数) bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --push # 监控指定基金 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --codes "000979 002943" ``` ### Agent调用 ``` 执行A股基金监控任务。 1. 读取配置文件: ~/clawd/skills/a-fund-monitor/config.json 2. 获取实时净值数据 3. 非交易日自动切换为简短报告 配置文件格式: { "funds": [ {"code": "000979", "name": "景顺长城沪港深精选股票