AWS Solution Architect
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.
$ npx skills add vibeeval/vibecosystem --skill aws-patterns -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vibeeval/vibecosystem aws-patterns --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/vibeeval/vibecosystem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aws-patterns .claude/skills/aws-patterns && 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-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/aws-patterns into .claude/skills/aws-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-patterns", 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/vibeeval/vibecosystem/tree/main/skills/aws-patternsType 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 vibeeval/vibecosystem --skill aws-patterns -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vibeeval/vibecosystem aws-patterns --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aws-patterns .agents/skills/aws-patterns && 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-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/aws-patterns into .agents/skills/aws-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-patterns", 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 vibeeval/vibecosystem --skill aws-patterns -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vibeeval/vibecosystem aws-patterns --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aws-patterns .cursor/skills/aws-patterns && 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-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/aws-patterns into .cursor/skills/aws-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-patterns", 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/vibeeval/vibecosystem.git --path skills/aws-patterns--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 vibeeval/vibecosystem --skill aws-patterns -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vibeeval/vibecosystem aws-patterns --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aws-patterns .gemini/skills/aws-patterns && 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-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/aws-patterns into .gemini/skills/aws-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-patterns", 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 vibeeval/vibecosystem aws-patternsInstalls 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 vibeeval/vibecosystem --skill aws-patterns -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aws-patterns .github/skills/aws-patterns && 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-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/aws-patterns into .github/skills/aws-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-patterns", 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 vibeeval/vibecosystem --skill aws-patterns -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vibeeval/vibecosystem aws-patterns --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aws-patterns .opencode/skills/aws-patterns && 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-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/aws-patterns into .opencode/skills/aws-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-patterns", 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-patternsLambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.
AWS Patterns is an agent skill from vibeeval/vibecosystem. Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering NoSQL databases, File uploads and storage and Serverless. It works with Amazon Web Services and Amazon DynamoDB. The repository describes itself as: AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution. The licence is MIT.
Read from SKILL.md and the folder at commit 3b763b1. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
AWS Patterns loads about 1.5k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 156 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 vibeeval/vibecosystem at commit 3b763b1, republished under its MIT licence (© vibeeval). 156 words, ~1,530 tokens.
.claude/skills/aws-patterns/SKILL.md (or your agent's skills folder).Serverless and managed service patterns for AWS production workloads.
// Cold start optimization: keep handler thin, initialize outside handler
import { DynamoDBClient } from '@aws-sdk/client-dynamodb'
import { DynamoDBDocumentClient, GetCommand } from '@aws-sdk/lib-dynamodb'
// Initialized ONCE per container (reused across invocations)
const client = DynamoDBDocumentClient.from(new DynamoDBClient({}))
export const handler = async (event: APIGatewayProxyEvent) => {
try {
const userId = event.pathParameters?.id
if (!userId) {
return { statusCode: 400, body: JSON.stringify({ error: 'Missing user ID' }) }
}
const result = await client.send(new GetCommand({
TableName: process.env.USERS_TABLE!,
Key: { pk: `USER#${userId}`, sk: `PROFILE` }
}))
if (!result.Item) {
return { statusCode: 404, body: JSON.stringify({ error: 'User not found' }) }
}
return {
statusCode: 200,
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(result.Item)
}
} catch (err) {
console.error('Handler error:', err)
return { statusCode: 500, body: JSON.stringify({ error: 'Internal server error' }) }
}
}// S3 → Lambda: process uploaded files
import { S3Client, GetObjectCommand } from '@aws-sdk/client-s3'
const s3 = new S3Client({})
export const handler = async (event: S3Event) => {
for (const record of event.Records) {
const bucket = record.s3.bucket.name
const key = decodeURIComponent(record.s3.object.key.replace(/\+/g, ' '))
const size = record.s3.object.size
// Guard: skip non-image files or oversized uploads
if (size > 10_000_000) {
console.warn(`Skipping oversized file: ${key} (${size} bytes)`)
continue
}
const response = await s3.send(new GetObjectCommand({ Bucket: bucket, Key: key }))
const body = await response.Body!.transformToByteArray()
await processImage(body, key)
console.log(`Processed ${key} (${size} bytes)`)
}
}// SNS → multiple SQS queues (fanout to parallel consumers)
// Publisher: send to SNS topic
import { SNSClient, PublishCommand } from '@aws-sdk/client-sns'
const sns = new SNSClient({})
async function publishOrderEvent(order: Order): Promise<void> {
await sns.send(new PublishCommand({
TopicArn: process.env.ORDER_EVENTS_TOPIC!,
Message: JSON.stringify(order),
MessageAttributes: {
eventType: { DataType: 'String', StringValue: 'order.created' },
region: { DataType: 'String', StringValue: order.region }
}
}))
}
// Consumer: SQS Lambda (one per subscriber: email, analytics, inventory)
export const emailHandler = async (event: SQSEvent) => {
for (const record of event.Records) {
const order = JSON.parse(record.body) as Order
try {
await sendOrderConfirmation(order)
} catch (err) {
console.error(`Failed to send email for order ${order.id}:`, err)
throw err // Message returns to queue for retry (DLQ after maxReceiveCount)
}
}
}// Access patterns drive table design, not entity relationships
// Table: pk (partition key) + sk (sort key) + GSI1PK + GSI1SK
// Entities: User, Order, OrderItem - all in one table
const AccessPatterns = {
// Get user profile
getUserProfile: (userId: string) => ({
pk: `USER#${userId}`,
sk: `PROFILE`
}),
// Get user's orders (sorted by date)
getUserOrders: (userId: string) => ({
pk: `USER#${userId}`,
sk: { begins_with: 'ORDER#' } // sk: ORDER#2025-01-15#orderId
}),
// Get order with items
getOrderWithItems: (orderId: string) => ({
pk: `ORDER#${orderId}`,
sk: { begins_with: '' } // sk: METADATA, ITEM#productId
}),
// Get orders by status (GSI1)
getOrdersByStatus: (status: string) => ({
GSI1PK: `STATUS#${status}`,
GSI1SK: { begins_with: '' } // GSI1SK: date#orderId
})
}
// Write: transactional multi-item write
import { TransactWriteCommand } from '@aws-sdk/lib-dynamodb'
async function createOrder(order: Order): Promise<void> {
const items = [
// Order metadata
{
Put: {
TableName: process.env.TABLE!,
Item: {
pk: `ORDER#${order.id}`,
sk: 'METADATA',
GSI1PK: `STATUS#${order.status}`,
GSI1SK: `${order.createdAt}#${order.id}`,
...order
}
}
},
// User's order reference
{
Put: {
TableName: process.env.TABLE!,
Item: {
pk: `USER#${order.userId}`,
sk: `ORDER#${order.createdAt}#${order.id}`,
orderId: order.id,
total: order.total,
status: order.status
}
}
}
]
await client.send(new TransactWriteCommand({ TransactItems: items }))
}© vibeeval, 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-patterns of vibeeval/vibecosystem.
Open the folder on GitHubat commit 3b763b1
AWS Patterns 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 Patterns this skillvibeeval/vibecosystem | 531 | — | ~1.5k | Automated safety check: Pass | MIT | |
| AWS Solution Architectalirezarezvani/claude-skills | 28k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Amplify Workflowawslabs/agent-plugins | 912 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| AWS Amplifyaws/agent-toolkit-for-aws | 2.8k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| AWS ArchitectFerroxLabs/wayland | 608 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| AWS CLI Beastgiuseppe-trisciuoglio/developer-kit | 355 | — | ~1.7k | Automated safety check: Notes | MIT |
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
awslabs/agent-plugins
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first).
aws/agent-toolkit-for-aws
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first).
FerroxLabs/wayland
AWS architecture. An agent skill from FerroxLabs/wayland.
giuseppe-trisciuoglio/developer-kit
Provides advanced AWS CLI patterns for managing EC2, Lambda, S3, DynamoDB, RDS, VPC, IAM, and CloudWatch.
davila7/claude-code-templates
Specialized skill for building production-ready serverless applications on AWS.
vibeeval/vibecosystem
Framework for measuring and tracking agent response quality over time.
vibeeval/vibecosystem
Security-focused differential code review with blast radius analysis, risk-adaptive depth (DEEP/FOCUSED/SURGICAL), git history correlation, and structured finding format.
vibeeval/vibecosystem
A skill your agent uses when making any factual claim about the codebase — existence, absence, or behavior.
vibeeval/vibecosystem
Systematic false positive verification for security findings.
vibeeval/vibecosystem
n8n otomasyon workflow'lari. An agent skill from vibeeval/vibecosystem.
vibeeval/vibecosystem
A skill your agent uses when context compression is imminent, when resuming a session, or when preserving critical decisions across long tasks.
Works with
Categories
Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures. AWS Patterns is an agent skill from vibeeval/vibecosystem. Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.
AWS Patterns fits situations like: tasks that involve NoSQL databases; tasks that involve File uploads and storage; tasks that involve Serverless.
Run `npx skills add vibeeval/vibecosystem --skill aws-patterns -a claude-code`. Or copy the skill folder (skills/aws-patterns in vibeeval/vibecosystem) into .claude/skills/aws-patterns in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vibeeval/vibecosystem --skill aws-patterns -a codex`. Or copy the skill folder (skills/aws-patterns in vibeeval/vibecosystem) into .agents/skills/aws-patterns 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 vibeeval/vibecosystem --skill aws-patterns -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-patterns, .gemini/skills/aws-patterns, .github/skills/aws-patterns and .opencode/skills/aws-patterns in your project.
SKILL.md names no scripts, command-line tools or credentials: AWS Patterns is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k 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 Patterns: AWS Solution Architect (alirezarezvani/claude-skills, 28k stars), Amplify Workflow (awslabs/agent-plugins, 912 stars), AWS Amplify (aws/agent-toolkit-for-aws, 2.8k stars) and AWS Architect (FerroxLabs/wayland, 608 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vibeeval (a GitHub user) maintains it in vibeeval/vibecosystem, which has 531 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on August 8, 2026.
Source: vibeeval/vibecosystem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.