Senior DevOps Toolkit
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
Deploy containers on ECS and Fargate. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ecs-fargate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ecs-fargate --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-ecs-fargate .claude/skills/aws-ecs-fargate && 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-ecs-fargate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ecs-fargate into .claude/skills/aws-ecs-fargate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ecs-fargate", 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-ecs-fargateType 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-ecs-fargate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ecs-fargate --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-ecs-fargate .agents/skills/aws-ecs-fargate && 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-ecs-fargate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ecs-fargate into .agents/skills/aws-ecs-fargate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ecs-fargate", 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-ecs-fargate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ecs-fargate --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-ecs-fargate .cursor/skills/aws-ecs-fargate && 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-ecs-fargate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ecs-fargate into .cursor/skills/aws-ecs-fargate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ecs-fargate", 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-ecs-fargate--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-ecs-fargate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-ecs-fargate --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-ecs-fargate .gemini/skills/aws-ecs-fargate && 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-ecs-fargate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ecs-fargate into .gemini/skills/aws-ecs-fargate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ecs-fargate", 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-ecs-fargateInstalls 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-ecs-fargate -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-ecs-fargate .github/skills/aws-ecs-fargate && 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-ecs-fargate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ecs-fargate into .github/skills/aws-ecs-fargate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ecs-fargate", 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-ecs-fargate -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-ecs-fargate --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-ecs-fargate .opencode/skills/aws-ecs-fargate && 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-ecs-fargate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-ecs-fargate into .opencode/skills/aws-ecs-fargate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-ecs-fargate", 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-ecs-fargateDeploy containers on ECS and Fargate. An agent skill from sickn33/agentic-awesome-skills.
AWS Ecs Fargate is an agent skill from sickn33/agentic-awesome-skills. Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.
Its SKILL.md is about 3k 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, covering Cloud networking, Deployment and Containers. It works with Amazon Web Services and Docker. 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 1c7bdea. 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:
awsdockerFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use aws and docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DB_PASSWORDAPI_KEYFrom 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 Ecs Fargate loads about 3k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 311 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 1c7bdea, republished under its MIT licence (© sickn33). 311 words, ~2,962 tokens.
.claude/skills/aws-ecs-fargate/SKILL.md (or your agent's skills folder).Run containerized applications on Amazon ECS with Fargate serverless compute or EC2 launch type.
ecs:*, ecr:*, elasticloadbalancing:*, logs:*, iam:PassRoleaws-vpc))# Create an ECS cluster with Container Insights enabled
aws ecs create-cluster \
--cluster-name production \
--capacity-providers FARGATE FARGATE_SPOT \
--default-capacity-provider-strategy '[
{"capacityProvider": "FARGATE", "weight": 1, "base": 2},
{"capacityProvider": "FARGATE_SPOT", "weight": 3}
]' \
--settings '[{"name": "containerInsights", "value": "enabled"}]'
# List clusters
aws ecs list-clusters
# Describe cluster details
aws ecs describe-clusters --clusters production --include STATISTICS ATTACHMENTS# Create ECR repository
aws ecr create-repository \
--repository-name myapp \
--image-scanning-configuration scanOnPush=true \
--encryption-configuration encryptionType=KMS
# Authenticate Docker to ECR
aws ecr get-login-password --region us-east-1 | \
docker login --username AWS --password-stdin 123456789012.dkr.ecr.us-east-1.amazonaws.com
# Build, tag, and push
docker build -t myapp:latest .
docker tag myapp:latest 123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
docker push 123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest{
"family": "myapp",
"networkMode": "awsvpc",
"requiresCompatibilities": ["FARGATE"],
"cpu": "512",
"memory": "1024",
"executionRoleArn": "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
"taskRoleArn": "arn:aws:iam::123456789012:role/ecsTaskRole",
"containerDefinitions": [
{
"name": "myapp",
"image": "123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest",
"essential": true,
"portMappings": [
{
"containerPort": 8080,
"protocol": "tcp"
}
],
"environment": [
{"name": "NODE_ENV", "value": "production"},
{"name": "PORT", "value": "8080"}
],
"secrets": [
{
"name": "DB_PASSWORD",
"valueFrom": "arn:aws:secretsmanager:us-east-1:123456789012:secret:myapp/db-password"
},
{
"name": "API_KEY",
"valueFrom": "arn:aws:ssm:us-east-1:123456789012:parameter/myapp/api-key"
}
],
"healthCheck": {
"command": ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"],
"interval": 30,
"timeout": 5,
"retries": 3,
"startPeriod": 60
},
"logConfiguration": {
"logDriver": "awslogs",
"options": {
"awslogs-group": "/ecs/myapp",
"awslogs-region": "us-east-1",
"awslogs-stream-prefix": "ecs",
"awslogs-create-group": "true"
}
},
"ulimits": [
{"name": "nofile", "softLimit": 65536, "hardLimit": 65536}
]
}
]
}# Register the task definition
aws ecs register-task-definition --cli-input-json file://task-definition.json
# List task definition revisions
aws ecs list-task-definitions --family-prefix myapp
# Deregister an old revision
aws ecs deregister-task-definition --task-definition myapp:1# Create the CloudWatch log group first
aws logs create-log-group --log-group-name /ecs/myapp
aws logs put-retention-policy --log-group-name /ecs/myapp --retention-in-days 30
# Create ECS service with load balancer
aws ecs create-service \
--cluster production \
--service-name myapp \
--task-definition myapp:2 \
--desired-count 3 \
--launch-type FARGATE \
--platform-version LATEST \
--deployment-configuration '{
"deploymentCircuitBreaker": {"enable": true, "rollback": true},
"maximumPercent": 200,
"minimumHealthyPercent": 100
}' \
--network-configuration '{
"awsvpcConfiguration": {
"subnets": ["subnet-private-a", "subnet-private-b"],
"securityGroups": ["sg-app"],
"assignPublicIp": "DISABLED"
}
}' \
--load-balancers '[{
"targetGroupArn": "arn:aws:elasticloadbalancing:us-east-1:123456789012:targetgroup/myapp-tg/abc123",
"containerName": "myapp",
"containerPort": 8080
}]' \
--service-registries '[{
"registryArn": "arn:aws:servicediscovery:us-east-1:123456789012:service/srv-abc123"
}]' \
--enable-execute-command \
--propagate-tags SERVICE# Rolling update - update task definition and force new deployment
aws ecs update-service \
--cluster production \
--service myapp \
--task-definition myapp:3 \
--force-new-deployment
# Watch deployment progress
aws ecs describe-services \
--cluster production \
--services myapp \
--query "services[0].deployments[].{Status:status,Running:runningCount,Desired:desiredCount,TaskDef:taskDefinition}" \
--output table
# Wait for service to stabilize
aws ecs wait services-stable --cluster production --services myapp
# Exec into a running container for debugging
aws ecs execute-command \
--cluster production \
--task arn:aws:ecs:us-east-1:123456789012:task/production/abc123 \
--container myapp \
--interactive \
--command "/bin/sh"# Register ECS service as a scalable target
aws application-autoscaling register-scalable-target \
--service-namespace ecs \
--resource-id service/production/myapp \
--scalable-dimension ecs:service:DesiredCount \
--min-capacity 2 \
--max-capacity 20
# Target tracking policy - scale on CPU utilization
aws application-autoscaling put-scaling-policy \
--service-namespace ecs \
--resource-id service/production/myapp \
--scalable-dimension ecs:service:DesiredCount \
--policy-name cpu-target-tracking \
--policy-type TargetTrackingScaling \
--target-tracking-scaling-policy-configuration '{
"PredefinedMetricSpecification": {
"PredefinedMetricType": "ECSServiceAverageCPUUtilization"
},
"TargetValue": 70.0,
"ScaleInCooldown": 300,
"ScaleOutCooldown": 60
}'
# Scale on request count per target (ALB)
aws application-autoscaling put-scaling-policy \
--service-namespace ecs \
--resource-id service/production/myapp \
--scalable-dimension ecs:service:DesiredCount \
--policy-name request-count-tracking \
--policy-type TargetTrackingScaling \
--target-tracking-scaling-policy-configuration '{
"PredefinedMetricSpecification": {
"PredefinedMetricType": "ALBRequestCountPerTarget",
"ResourceLabel": "app/my-alb/abc123/targetgroup/myapp-tg/def456"
},
"TargetValue": 1000.0,
"ScaleInCooldown": 300,
"ScaleOutCooldown": 60
}'resource "aws_ecs_cluster" "main" {
name = "production"
setting {
name = "containerInsights"
value = "enabled"
}
}
resource "aws_ecs_task_definition" "myapp" {
family = "myapp"
network_mode = "awsvpc"
requires_compatibilities = ["FARGATE"]
cpu = 512
memory = 1024
execution_role_arn = aws_iam_role.ecs_execution.arn
task_role_arn = aws_iam_role.ecs_task.arn
container_definitions = jsonencode([{
name = "myapp"
image = "${aws_ecr_repository.myapp.repository_url}:latest"
essential = true
portMappings = [{
containerPort = 8080
protocol = "tcp"
}]
logConfiguration = {
logDriver = "awslogs"
options = {
awslogs-group = aws_cloudwatch_log_group.myapp.name
awslogs-region = "us-east-1"
awslogs-stream-prefix = "ecs"
}
}
healthCheck = {
command = ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
interval = 30
timeout = 5
retries = 3
startPeriod = 60
}
}])
}
resource "aws_ecs_service" "myapp" {
name = "myapp"
cluster = aws_ecs_cluster.main.id
task_definition = aws_ecs_task_definition.myapp.arn
desired_count = 3
launch_type = "FARGATE"
deployment_circuit_breaker {
enable = true
rollback = true
}
network_configuration {
subnets = aws_subnet.private[*].id
security_groups = [aws_security_group.app.id]
assign_public_ip = false
}
load_balancer {
target_group_arn = aws_lb_target_group.myapp.arn
container_name = "myapp"
container_port = 8080
}
enable_execute_command = true
propagate_tags = "SERVICE"
}# Tail logs from CloudWatch
aws logs tail /ecs/myapp --follow --since 1h
# Get logs for a specific task
aws logs get-log-events \
--log-group-name /ecs/myapp \
--log-stream-name "ecs/myapp/abc123def456" \
--start-from-head
# Filter logs for errors
aws logs filter-log-events \
--log-group-name /ecs/myapp \
--filter-pattern "ERROR" \
--start-time $(date -d '1 hour ago' +%s000)| Problem | Cause | Fix |
|---|---|---|
| Task stuck in PROVISIONING | No available capacity in subnets | Check subnet availability and capacity provider |
| Task fails immediately | Container crashes on startup | Check CloudWatch logs; run image locally first |
| Health check failing | App not ready within startPeriod | Increase startPeriod; verify health endpoint |
| Cannot pull ECR image | Execution role missing ECR permissions | Attach AmazonECSTaskExecutionRolePolicy |
| Service stuck at 0 running | Security group blocks ALB health check | Allow ALB SG to reach container port |
| Exec command fails | SSM agent not initialized | Ensure enableExecuteCommand is true; check task role |
| High Fargate costs | Not using Fargate Spot for tolerant workloads | Add FARGATE_SPOT capacity provider |
| Container OOM killed | Memory limit too low | Increase memory in task definition; check for leaks |
| Slow deployments | minimumHealthyPercent too high | Set to 50% for faster rolling updates |
docker-management) - Container fundamentalscontainer-registries) - ECR and image managementaws-vpc) - Networking for ECS tasksaws-iam) - Task and execution rolesterraform-aws) - Infrastructure as Code deployment© 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-ecs-fargate of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1c7bdea
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 Ecs Fargate 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 Ecs Fargate this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~3k | Automated safety check: Pass | MIT | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| Monstermq Broker Configvogler75/monster-mq | 143 | — | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Aspire DeploymentCommunityToolkit/Aspire | 627 | — | ~4.5k | Automated safety check: Notes | MIT | |
| Ec2 Deployadam-s/intercept | 189 | — | ~1.9k | Automated safety check: Warn | MIT | |
| Frontmcp Deploymentagentfront/frontmcp | 146 | — | ~9.2k | Automated safety check: Notes | Apache-2.0 |
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
vogler75/monster-mq
Guide for configuring, deploying, and operating the MonsterMQ broker.
CommunityToolkit/Aspire
WORKFLOW SKILL — Deploy Aspire apps from AppHost models to Docker Compose, Kubernetes, Azure, AWS, or preview Radius.
adam-s/intercept
Deploy to EC2 production server. An agent skill from adam-s/intercept.
agentfront/frontmcp
A skill your agent uses when deploying, building for production, packaging, or shipping a FrontMCP server.
serithemage/serverless-openclaw
Deploys Serverless OpenClaw CDK stacks to AWS. An agent skill from serithemage/serverless-openclaw.
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
Deploy containers on ECS and Fargate. An agent skill from sickn33/agentic-awesome-skills. AWS Ecs Fargate is an agent skill from sickn33/agentic-awesome-skills. Deploy containers on ECS and Fargate.
AWS Ecs Fargate fits situations like: running containerized workloads on AWS; tasks that involve Cloud networking; tasks that involve Deployment.
Run `npx skills add sickn33/agentic-awesome-skills --skill aws-ecs-fargate -a claude-code`. Or copy the skill folder (skills/aws-ecs-fargate in sickn33/agentic-awesome-skills) into .claude/skills/aws-ecs-fargate in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill aws-ecs-fargate -a codex`. Or copy the skill folder (skills/aws-ecs-fargate in sickn33/agentic-awesome-skills) into .agents/skills/aws-ecs-fargate 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-ecs-fargate -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-ecs-fargate, .gemini/skills/aws-ecs-fargate, .github/skills/aws-ecs-fargate and .opencode/skills/aws-ecs-fargate in your project.
Going by SKILL.md and its folder, AWS Ecs Fargate needs the command-line tools its instructions call (aws and docker) and credentials named DB_PASSWORD and API_KEY. Our summary lists: Docker; A credential in API_KEY. 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 contains no URLs. Its commands use docker, which can reach the network depending on how they are called. 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 Ecs Fargate is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k 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 Ecs Fargate: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Monstermq Broker Config (vogler75/monster-mq, 143 stars), Aspire Deployment (CommunityToolkit/Aspire, 627 stars) and Ec2 Deploy (adam-s/intercept, 189 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 47,443 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 10, 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.