
example-skill
Example skill template used for the CreateHub template. You should never use this skill directly as it is just a template made to be updated.
- Installs
- 72
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aws-samples/sample-well-architected-skills-and-steering --skill example-skill- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads example-skill automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Example Skill Template
Overview
This is a template skill that demonstrates the structure and components of a well-documented skill. Replace this overview with a clear description of what your skill accomplishes and the problem it solves.
Usage
Use this skill when:
- You need to accomplish [specific task or solve specific problem]
- You encounter [common scenario 1]
- You want to [common scenario 2]
- You see errors like "[example error message]"
Instructions
Basic Setup
Automated Setup: Use the provided script for streamlined setup:
./scripts/example-script.sh
Manual Steps:
# Step 1: Install required tools
echo "Installing dependencies..."
# Step 2: Configure settings
echo "Configuring application..."
# Step 3: Verify installation
echo "Verifying setup..."
Prerequisites
Replace this section with any pre-skill validation logic you want to perform prior to starting the skill.
Configuration
For additional information, see references/additional-info.md
Primary Configuration
Replace with your main configuration steps.
Alternative Configuration
Replace with alternative setup methods if applicable.
Features
Once configured, this skill provides:
- Feature 1: Description of what it does
- Feature 2: Description of what it does
- Feature 3: Description of what it does
Troubleshooting
Automated Diagnostics: Run the diagnostic script to check for common issues:
./scripts/example-script.sh
Manual Troubleshooting:
Common Issue 1
Check logs: Replace with appropriate log location
Common Solutions:
"Error message example"
# Solution command
echo "Fix applied"
"Another error message"
- Step 1 to resolve
- Step 2 to resolve
Common Issue 2
"Example error scenario"
- Troubleshooting step 1
- Troubleshooting step 2
Supporting Files
scripts/example-script.sh
Example script that demonstrates:
- Basic shell scripting structure
- Error handling
- User feedback
- Simple operations
Usage: ./scripts/example-script.sh
references/additional-info.md
Template reference file containing:
- Detailed background information
- Extended examples and scenarios
- Advanced usage patterns
- Reference tables and appendices
When to use: Reference when you need additional context or detailed examples
Deterministic Scripts
example-script.sh
Simple example script demonstrating basic automation patterns.
When to use:
- Learning script structure
- Template for new automation scripts
- Testing script execution
What it does:
- Prints hello world message
- Demonstrates basic shell scripting
- Shows error handling patterns
Example:
./scripts/example-script.sh
Core Concepts
Concept 1: Replace with key concept relevant to your skill domain.
Concept 2: Replace with another important concept users should understand.
Concept 3: Replace with implementation details or architectural concepts.
Quick Reference
| Task | Command |
|---|---|
| Run example script | ./scripts/example-script.sh |
| Check configuration | echo "Add your check command" |
| View documentation | See references/additional-info.md |
Common Patterns
Basic Usage:
# Use example script
./scripts/example-script.sh
# Follow up with manual steps if needed
echo "Manual configuration step"
Advanced Usage:
# Check prerequisites
echo "Checking requirements..."
# Run advanced configuration
echo "Advanced setup..."
Common Mistakes
Mistake 1: Description of common mistake users make. Fix: How to resolve this mistake.
Mistake 2: Another common mistake. Fix: Resolution steps for this mistake.
<!-- Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: MIT-0 -->FAQ
What does the example-skill skill do?
Example skill template used for the CreateHub template. You should never use this skill directly as it is just a template made to be updated.
How do I install example-skill?
Run npx skills add https://github.com/aws-samples/sample-well-architected-skills-and-steering --skill example-skill in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/example-skill/ (personal) or .claude/skills/example-skill/ (project).
Which AI agents can use example-skill?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is example-skill safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains example-skill?
It is published by aws-samples in aws-samples/sample-well-architected-skills-and-steering. It has 72 recorded installs.
More from aws-samples/sample-well-architected-skills-and-steering
migration-readiness
aws-samples/sample-well-architected-skills-and-steering
Assess a workload's readiness to migrate to AWS by analyzing existing code, dependencies, configurations, and infrastructure to produce evidence-backed findings covering the 7 Rs, risks, and a migration plan.
wa-review
aws-samples/sample-well-architected-skills-and-steering
Perform a full AWS Well-Architected Framework review evaluating all 57 questions across 6 pillars by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation.
wa-guardrails
aws-samples/sample-well-architected-skills-and-steering
Generate preventive Well-Architected guardrails — AWS Config rules, Service Control Policies, permission boundaries, CloudWatch alarms, and IaC policy checks (CDK Aspects, cfn-guard, OPA/Sentinel) — plus an optional governance steering doc, so a workload stays aligned with Well-Architected best practices over time instead of being assessed once. Use when the user wants to enforce best practices in CI, prevent insecure or non-compliant configurations from shipping, detect configuration drift, codify the fixes from a Well-Architected review as ongoing controls, or capture standards as an always-on steering file for their AI coding agent.
aws-well-architected-framework-review
aws-samples/sample-well-architected-skills-and-steering
Perform a full AWS Well-Architected Framework review evaluating all 57 questions across 6 pillars by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation.
wafr-facilitator
aws-samples/sample-well-architected-skills-and-steering
Help a facilitator run a conversational Well-Architected Framework Review (WAFR) with a customer — generates tailored facilitator questions, probing follow-ups, and "things to look out for" per WA question and best practice, adapted to the workload context.
wa-builder
aws-samples/sample-well-architected-skills-and-steering
"Learn then Build" — help developers understand AWS Well-Architected best practices for their specific workload, then produce actionable visual artifacts (architecture diagrams with WA annotations, decision trees, improvement roadmaps) they can commit and use. Adapts explanations for beginners and generates artifacts faster for experienced builders. Use when the user wants to understand WA for their project, create architecture diagrams with pillar health overlays, get guided decision flows for architectural choices, or generate a visual improvement roadmap.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.