Cloud Cost Optimization
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
Manage EC2 instances, AMIs, and auto-scaling groups. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ec2 --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aws-ec2 .claude/skills/aws-ec2 && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "aws-ec2" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ec2 into .claude/skills/aws-ec2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ec2", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ec2Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ec2 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aws-ec2 .agents/skills/aws-ec2 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aws-ec2" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ec2 into .agents/skills/aws-ec2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ec2", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ec2 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aws-ec2 .cursor/skills/aws-ec2 && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aws-ec2" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ec2 into .cursor/skills/aws-ec2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ec2", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/aws-ec2--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ec2 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aws-ec2 .gemini/skills/aws-ec2 && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aws-ec2" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ec2 into .gemini/skills/aws-ec2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ec2", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills aws-ec2Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aws-ec2 .github/skills/aws-ec2 && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aws-ec2" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ec2 into .github/skills/aws-ec2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ec2", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ec2 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aws-ec2 .opencode/skills/aws-ec2 && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aws-ec2" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ec2 into .opencode/skills/aws-ec2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ec2", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
aws-ec2Manage EC2 instances, AMIs, and auto-scaling groups. An agent skill from sickn33/agentic-awesome-skills.
AWS Ec2 is an agent skill from sickn33/agentic-awesome-skills. Manage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
It sits in DevOps & Cloud. It works with Amazon Web Services. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
awsdnfwgetFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
aws-codedeploy-us-east-1.s3.us-east-1.amazonaws.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
AWS Ec2 loads about 3.4k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 361 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 361 words, ~3,390 tokens.
.claude/skills/aws-ec2/SKILL.md (or your agent's skills folder).Deploy and manage Amazon EC2 compute instances for production, staging, and development workloads.
aws configure)ec2:*, autoscaling:*, elasticloadbalancing:*, iam:PassRoleaws-vpc))aws ec2 create-key-pair --key-name my-key --query 'KeyMaterial' --output text > my-key.pem)| Category | Types | Use Case |
|---|---|---|
| General Purpose | t3, t3a, m6i, m7g | Web servers, small databases, dev/test |
| Compute Optimized | c6i, c7g | Batch processing, media encoding, ML inference |
| Memory Optimized | r6i, r7g, x2idn | In-memory caches, large databases |
| Storage Optimized | i3, i4i, d3 | Data warehousing, distributed file systems |
| Accelerated | p4d, g5, inf2 | ML training, GPU rendering, inference |
| Burstable | t3.micro-t3.2xlarge | Low-steady-state with occasional bursts |
# Launch a production web server
aws ec2 run-instances \
--image-id ami-0abcdef1234567890 \
--instance-type t3.medium \
--key-name my-key \
--security-group-ids sg-12345678 \
--subnet-id subnet-12345678 \
--iam-instance-profile Name=EC2AppProfile \
--metadata-options "HttpTokens=required,HttpEndpoint=enabled" \
--block-device-mappings '[{
"DeviceName": "/dev/xvda",
"Ebs": {
"VolumeSize": 30,
"VolumeType": "gp3",
"Iops": 3000,
"Throughput": 125,
"Encrypted": true
}
}]' \
--tag-specifications 'ResourceType=instance,Tags=[
{Key=Name,Value=web-server-01},
{Key=Environment,Value=production},
{Key=Team,Value=platform}
]' \
--user-data file://userdata.sh
# Launch with IMDSv2 required (security best practice)
aws ec2 run-instances \
--image-id ami-0abcdef1234567890 \
--instance-type t3.micro \
--metadata-options "HttpTokens=required,HttpPutResponseHopLimit=1,HttpEndpoint=enabled" \
--tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=secure-instance}]'#!/bin/bash
# userdata.sh - Bootstrap a web server on Amazon Linux 2023
set -euxo pipefail
# System updates
dnf update -y
# Install and start web server
dnf install -y nginx
systemctl enable nginx
systemctl start nginx
# Install CloudWatch agent
dnf install -y amazon-cloudwatch-agent
/opt/aws/amazon-cloudwatch-agent/bin/amazon-cloudwatch-agent-ctl \
-a fetch-config -m ec2 \
-s -c ssm:AmazonCloudWatch-linux
# Install CodeDeploy agent
dnf install -y ruby wget
cd /home/ec2-user
wget https://aws-codedeploy-us-east-1.s3.us-east-1.amazonaws.com/latest/install
chmod +x ./install
./install auto
# Signal CloudFormation (if launched via CFN)
# /opt/aws/bin/cfn-signal -e $? --stack ${AWS::StackName} --resource ASG --region ${AWS::Region}# Create a launch template with full configuration
aws ec2 create-launch-template \
--launch-template-name web-server-template \
--version-description "v1 - AL2023 with nginx" \
--launch-template-data '{
"ImageId": "ami-0abcdef1234567890",
"InstanceType": "t3.medium",
"KeyName": "my-key",
"SecurityGroupIds": ["sg-12345678"],
"IamInstanceProfile": {"Name": "EC2AppProfile"},
"MetadataOptions": {
"HttpTokens": "required",
"HttpEndpoint": "enabled"
},
"BlockDeviceMappings": [{
"DeviceName": "/dev/xvda",
"Ebs": {
"VolumeSize": 30,
"VolumeType": "gp3",
"Encrypted": true
}
}],
"TagSpecifications": [{
"ResourceType": "instance",
"Tags": [
{"Key": "Environment", "Value": "production"},
{"Key": "ManagedBy", "Value": "launch-template"}
]
}],
"Monitoring": {"Enabled": true},
"UserData": "'"$(base64 -w0 userdata.sh)"'"
}'
# Create a new version of the launch template
aws ec2 create-launch-template-version \
--launch-template-name web-server-template \
--source-version 1 \
--version-description "v2 - updated AMI" \
--launch-template-data '{"ImageId": "ami-0newami1234567890"}'
# Set the default version
aws ec2 modify-launch-template \
--launch-template-name web-server-template \
--default-version 2# Create ASG with mixed instances (on-demand + spot)
aws autoscaling create-auto-scaling-group \
--auto-scaling-group-name web-asg \
--mixed-instances-policy '{
"LaunchTemplate": {
"LaunchTemplateSpecification": {
"LaunchTemplateName": "web-server-template",
"Version": "$Default"
},
"Overrides": [
{"InstanceType": "t3.medium"},
{"InstanceType": "t3a.medium"},
{"InstanceType": "m5.large"}
]
},
"InstancesDistribution": {
"OnDemandBaseCapacity": 2,
"OnDemandPercentageAboveBaseCapacity": 25,
"SpotAllocationStrategy": "capacity-optimized"
}
}' \
--min-size 2 --max-size 10 --desired-capacity 4 \
--vpc-zone-identifier "subnet-aaa,subnet-bbb" \
--target-group-arns "arn:aws:elasticloadbalancing:us-east-1:123456789012:targetgroup/web-tg/abc123" \
--health-check-type ELB \
--health-check-grace-period 300 \
--tags '[
{"Key":"Name","Value":"web-asg","PropagateAtLaunch":true},
{"Key":"Environment","Value":"production","PropagateAtLaunch":true}
]'
# Create target tracking scaling policy (target 60% CPU)
aws autoscaling put-scaling-policy \
--auto-scaling-group-name web-asg \
--policy-name cpu-target-tracking \
--policy-type TargetTrackingScaling \
--target-tracking-configuration '{
"PredefinedMetricSpecification": {
"PredefinedMetricType": "ASGAverageCPUUtilization"
},
"TargetValue": 60.0,
"ScaleInCooldown": 300,
"ScaleOutCooldown": 60
}'
# Create scheduled scaling for known traffic patterns
aws autoscaling put-scheduled-update-group-action \
--auto-scaling-group-name web-asg \
--scheduled-action-name scale-up-morning \
--recurrence "0 8 * * MON-FRI" \
--min-size 4 --max-size 20 --desired-capacity 8
aws autoscaling put-scheduled-update-group-action \
--auto-scaling-group-name web-asg \
--scheduled-action-name scale-down-evening \
--recurrence "0 20 * * MON-FRI" \
--min-size 2 --max-size 10 --desired-capacity 2# Request Spot instances
aws ec2 request-spot-instances \
--spot-price "0.05" \
--instance-count 3 \
--type "one-time" \
--launch-specification '{
"ImageId": "ami-0abcdef1234567890",
"InstanceType": "c5.xlarge",
"KeyName": "my-key",
"SecurityGroupIds": ["sg-12345678"],
"SubnetId": "subnet-12345678"
}'
# Check current Spot prices
aws ec2 describe-spot-price-history \
--instance-types t3.medium t3a.medium m5.large \
--availability-zone us-east-1a \
--product-descriptions "Linux/UNIX" \
--start-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--query "SpotPriceHistory[].{Type:InstanceType,Price:SpotPrice,AZ:AvailabilityZone}" \
--output table
# Create a Spot Fleet request
aws ec2 request-spot-fleet \
--spot-fleet-request-config '{
"IamFleetRole": "arn:aws:iam::123456789012:role/aws-ec2-spot-fleet-role",
"TargetCapacity": 10,
"SpotPrice": "0.10",
"AllocationStrategy": "capacityOptimized",
"LaunchSpecifications": [
{"ImageId": "ami-xxx", "InstanceType": "c5.xlarge", "SubnetId": "subnet-aaa"},
{"ImageId": "ami-xxx", "InstanceType": "c5a.xlarge", "SubnetId": "subnet-bbb"}
]
}'# Create an AMI from a running instance
aws ec2 create-image \
--instance-id i-0abc123def456 \
--name "web-server-$(date +%Y%m%d)" \
--description "Web server golden AMI" \
--no-reboot \
--tag-specifications 'ResourceType=image,Tags=[
{Key=Name,Value=web-server-golden},
{Key=Version,Value=2026.03.24}
]'
# Copy AMI to another region for disaster recovery
aws ec2 copy-image \
--source-image-id ami-0abcdef1234567890 \
--source-region us-east-1 \
--region us-west-2 \
--name "web-server-dr-copy"
# Deregister old AMIs and delete associated snapshots
aws ec2 deregister-image --image-id ami-old123
aws ec2 delete-snapshot --snapshot-id snap-old123
# Share AMI with another AWS account
aws ec2 modify-image-attribute \
--image-id ami-0abcdef1234567890 \
--launch-permission "Add=[{UserId=987654321098}]"# List running instances with key details
aws ec2 describe-instances \
--filters "Name=instance-state-name,Values=running" \
--query "Reservations[].Instances[].{ID:InstanceId,Type:InstanceType,IP:PrivateIpAddress,Name:Tags[?Key=='Name']|[0].Value,State:State.Name}" \
--output table
# Stop and start instances
aws ec2 stop-instances --instance-ids i-0abc123def456
aws ec2 start-instances --instance-ids i-0abc123def456
# Resize an instance (stop first)
aws ec2 stop-instances --instance-ids i-0abc123def456
aws ec2 wait instance-stopped --instance-ids i-0abc123def456
aws ec2 modify-instance-attribute \
--instance-id i-0abc123def456 \
--instance-type '{"Value": "t3.large"}'
aws ec2 start-instances --instance-ids i-0abc123def456
# Get console output for debugging boot issues
aws ec2 get-console-output --instance-id i-0abc123def456
# Get instance screenshot (helps debug GUI issues)
aws ec2 get-console-screenshot --instance-id i-0abc123def456resource "aws_launch_template" "web" {
name_prefix = "web-"
image_id = data.aws_ami.amazon_linux.id
instance_type = "t3.medium"
iam_instance_profile {
name = aws_iam_instance_profile.web.name
}
metadata_options {
http_tokens = "required"
http_endpoint = "enabled"
}
block_device_mappings {
device_name = "/dev/xvda"
ebs {
volume_size = 30
volume_type = "gp3"
encrypted = true
}
}
user_data = base64encode(file("userdata.sh"))
tag_specifications {
resource_type = "instance"
tags = {
Name = "web-server"
Environment = "production"
}
}
}
resource "aws_autoscaling_group" "web" {
name = "web-asg"
min_size = 2
max_size = 10
desired_capacity = 4
vpc_zone_identifier = [aws_subnet.private_a.id, aws_subnet.private_b.id]
target_group_arns = [aws_lb_target_group.web.arn]
health_check_type = "ELB"
launch_template {
id = aws_launch_template.web.id
version = "$Latest"
}
tag {
key = "Name"
value = "web-asg"
propagate_at_launch = true
}
}
resource "aws_autoscaling_policy" "cpu" {
name = "cpu-target-tracking"
autoscaling_group_name = aws_autoscaling_group.web.name
policy_type = "TargetTrackingScaling"
target_tracking_configuration {
predefined_metric_specification {
predefined_metric_type = "ASGAverageCPUUtilization"
}
target_value = 60.0
}
}| Problem | Cause | Fix |
|---|---|---|
Instance stuck in pending | Insufficient capacity | Try a different AZ or instance type |
| Cannot SSH to instance | Security group or NACL blocks port 22 | Check SG ingress rules and route tables |
| Instance immediately terminates | EBS volume limit or AMI issue | Check describe-instances for StateReason |
| IMDSv1 deprecation warnings | Metadata options not set | Set HttpTokens=required in launch template |
| User data not running | Script missing shebang or not base64 | Verify #!/bin/bash header; check /var/log/cloud-init-output.log |
| Spot instance terminated | Capacity reclaimed by AWS | Use capacity-optimized allocation and diversify types |
| ASG not replacing unhealthy | Health check grace period too short | Increase grace period to cover app boot time |
| EBS throughput bottleneck | gp2 volume too small for IOPS | Migrate to gp3 and set explicit IOPS/throughput |
aws-vpc) - VPC networking, subnets, and security groupsaws-iam) - Instance profiles and rolesaws-cost-optimization) - Rightsizing and Spot strategiesterraform-aws) - Infrastructure as Code deploymentcloudformation) - AWS-native IaC templates© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/aws-ec2 of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
AWS Ec2 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AWS Ec2 this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Cloud Cost Optimizationwshobson/agents | 40k | 14 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Review Docshashicorp/terraform-provider-aws | 11k | — | ~1.3k | Automated safety check: Pass | MPL-2.0 | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| Terravision Cloud Diagramspatrickchugh/terravision | 1.6k | — | ~5.6k | Automated safety check: Notes | AGPL-3.0-only |
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
hashicorp/terraform-provider-aws
Review a Terraform AWS Provider PR's end-user documentation (website/docs//.markdown): whether docs are needed, description openings, argument/attribute style, section structure, tags wording, code…
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
patrickchugh/terravision
Draw cloud architecture diagrams for AWS, Azure or GCP with the official provider icon sets, using TerraVision.
glincker/thesvg
Fetch brand SVG logos and cloud architecture icons (AWS, Azure, GCP) from theSVG.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Works with
Categories
Manage EC2 instances, AMIs, and auto-scaling groups. An agent skill from sickn33/agentic-awesome-skills. AWS Ec2 is an agent skill from sickn33/agentic-awesome-skills. Manage EC2 instances, AMIs, and auto-scaling groups.
AWS Ec2 fits situations like: deploying compute resources on AWS.
Run `npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a claude-code`. Or copy the skill folder (skills/aws-ec2 in sickn33/agentic-awesome-skills) into .claude/skills/aws-ec2 in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a codex`. Or copy the skill folder (skills/aws-ec2 in sickn33/agentic-awesome-skills) into .agents/skills/aws-ec2 in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill aws-ec2 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-ec2, .gemini/skills/aws-ec2, .github/skills/aws-ec2 and .opencode/skills/aws-ec2 in your project.
Going by SKILL.md and its folder, AWS Ec2 needs the command-line tools its instructions call (aws, dnf and wget). Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..
SKILL.md names 1 domain. In commands or code: aws-codedeploy-us-east-1.s3.us-east-1.amazonaws.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
AWS Ec2 is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with AWS Ec2: Cloud Cost Optimization (wshobson/agents, 40k stars), Review Docs (hashicorp/terraform-provider-aws, 11k stars), AWS Cdk Development (zxkane/aws-skills, 367 stars) and Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.