asset-inventory
asset-inventory is an code AI skill with a core value of Maintain IT asset inventory and configuration management database. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Maintain IT asset inventory and configuration management database. Track hardware, software, and cloud resources. Use when managing IT assets.
Quick Facts
mkdir -p ./skills/asset-inventory && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/asset-inventory/SKILL.md -o ./skills/asset-inventory/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Asset Inventory
Maintain comprehensive IT asset inventory using automated discovery, AWS Config rules, cloud asset discovery scripts, CMDB integration, and tagging enforcement for compliance and operational visibility.
Asset Categories and Schema
asset_categories:
compute:
cloud:
- EC2 instances / Azure VMs / GCE instances
- Lambda functions / Azure Functions / Cloud Functions
- ECS/EKS clusters and tasks
- Container images in registries
on_premise:
- Physical servers
- Virtual machines (VMware, Hyper-V)
storage:
- S3 buckets / Azure Storage / GCS buckets
- EBS volumes / Managed Disks / Persistent Disks
- RDS instances / Azure SQL / Cloud SQL
- DynamoDB tables / Cosmos DB / Firestore
- EFS / Azure Files / Filestore
network:
- VPCs / VNets / VPC Networks
- Load balancers (ALB, NLB, Azure LB, GCP LB)
- DNS zones and records
- VPN gateways and connections
- CDN distributions
security:
- IAM users, roles, and policies
- KMS keys / Key Vault keys
- Certificates (ACM, Key Vault, Certificate Manager)
- Security groups / NSGs / Firewall rules
- WAF configurations
applications:
- SaaS subscriptions
- Licensed software
- Custom applications
- APIs and integrations
endpoints:
- Laptops and desktops
- Mobile devices
- Printers and peripherals
asset_record_schema:
required_fields:
asset_id: "Unique identifier (auto-generated)"
name: "Human-readable name"
type: "Category from above taxonomy"
provider: "AWS / Azure / GCP / On-Premise / SaaS"
account_or_subscription: "Cloud account ID"
region: "Deployment region/location"
owner: "Team or individual responsible"
data_classification: "Public / Internal / Confidential / Restricted"
environment: "Production / Staging / Development / Sandbox"
status: "Active / Decommissioning / Retired"
created_date: "When the asset was provisioned"
last_seen: "Last automated discovery timestamp"
optional_fields:
cost_center: "For cost allocation"
compliance_scope: "SOC2 / HIPAA / PCI / None"
backup_policy: "Backup schedule reference"
dr_tier: "Critical / Essential / Standard / Non-essential"
expiration_date: "For time-limited resources"
tags: "Key-value pairs from cloud provider"
dependencies: "Upstream and downstream services"AWS Resource Discovery Script
#!/usr/bin/env bash
# aws-asset-discovery.sh - Discover and inventory all AWS resources
OUTPUT_DIR="./asset-inventory/aws/$(date +%Y-%m-%d)"
mkdir -p "$OUTPUT_DIR"
ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)
echo "=== AWS Asset Discovery for Account $ACCOUNT_ID ==="
# EC2 Instances
echo "--- EC2 Instances ---"
aws ec2 describe-instances \
--query 'Reservations[*].Instances[*].{
InstanceId:InstanceId,
Type:InstanceType,
State:State.Name,
AZ:Placement.AvailabilityZone,
VpcId:VpcId,
PrivateIP:PrivateIpAddress,
PublicIP:PublicIpAddress,
LaunchTime:LaunchTime,
Name:Tags[?Key==`Name`].Value|[0],
Owner:Tags[?Key==`Owner`].Value|[0],
Environment:Tags[?Key==`Environment`].Value|[0]
}' --output json | jq 'flatten' > "$OUTPUT_DIR/ec2-instances.json"
# RDS Databases
echo "--- RDS Instances ---"
aws rds describe-db-instances \
--query 'DBInstances[*].{
DBInstanceId:DBInstanceIdentifier,
Engine:Engine,
EngineVersion:EngineVersion,
Class:DBInstanceClass,
Status:DBInstanceStatus,
MultiAZ:MultiAZ,
Encrypted:StorageEncrypted,
Endpoint:Endpoint.Address,
BackupRetention:BackupRetentionPeriod
}' --output json > "$OUTPUT_DIR/rds-instances.json"
# S3 Buckets
echo "--- S3 Buckets ---"
aws s3api list-buckets --query 'Buckets[*].{Name:Name,Created:CreationDate}' --output json | \
jq -c '.[]' | while read -r bucket; do
name=$(echo "$bucket" | jq -r '.Name')
region=$(aws s3api get-bucket-location --b🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply asset-inventory to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is asset-inventory compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for asset-inventory?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install asset-inventory?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/asset-inventory/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.