Api Gateway logo

Api Gateway

CommunityPopular
itsmostafa
api-gateway

AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.

Overview

Publisheritsmostafa
Repositoryaws-agent-skills
Skill nameapi-gateway
Stars
1.2K
Forks
445
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by itsmostafa on GitHub. Read the source before you install it.

Installation

Install the Api Gateway AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/api-gateway
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/itsmostafa/aws-agent-skills.git /tmp/aws-agent-skills
mkdir -p .claude/skills
cp -r /tmp/aws-agent-skills/skills/api-gateway .claude/skills/api-gateway
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Api Gateway in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Api Gateway on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Api Gateway is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS API Gateway

Amazon API Gateway is a fully managed service for creating, publishing, and securing APIs at any scale. Supports REST APIs, HTTP APIs, and WebSocket APIs.

Table of Contents

Core Concepts

API Types

TypeDescriptionUse Case
HTTP APILow-latency, cost-effectiveSimple APIs, Lambda proxy
REST APIFull-featured, more controlComplex APIs, transformation
WebSocket APIBidirectional communicationReal-time apps, chat

Key Components

  • Resources: URL paths (/users, /orders/{id})
  • Methods: HTTP verbs (GET, POST, PUT, DELETE)
  • Integrations: Backend connections (Lambda, HTTP, AWS services)
  • Stages: Deployment environments (dev, prod)

Integration Types

TypeDescription
Lambda ProxyPass-through to Lambda (recommended)
Lambda CustomTransform request/response
HTTP ProxyPass-through to HTTP endpoint
AWS ServiceDirect integration with AWS services
MockReturn static response

Common Patterns

Create HTTP API with Lambda

AWS CLI:

bash
# Create HTTP API
aws apigatewayv2 create-api \
  --name my-api \
  --protocol-type HTTP \
  --target arn:aws:lambda:us-east-1:123456789012:function:MyFunction

# Get API endpoint
aws apigatewayv2 get-api --api-id abc123 --query 'ApiEndpoint'

SAM Template:

yaml
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31

Resources:
  MyApi:
    Type: AWS::Serverless::HttpApi
    Properties:
      StageName: prod

  MyFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: app.handler
      Runtime: python3.12
      Events:
        ApiEvent:
          Type: HttpApi
          Properties:
            ApiId: !Ref MyApi
            Path: /items
            Method: GET

Create REST API with Lambda Proxy

bash
# Create REST API
aws apigateway create-rest-api \
  --name my-rest-api \
  --endpoint-configuration types=REGIONAL

API_ID=abc123

# Get root resource ID
ROOT_ID=$(aws apigateway get-resources --rest-api-id $API_ID --query 'items[0].id' --output text)

# Create resource
aws apigateway create-resource \
  --rest-api-id $API_ID \
  --parent-id $ROOT_ID \
  --path-part items

RESOURCE_ID=xyz789

# Create method
aws apigateway put-method \
  --rest-api-id $API_ID \
  --resource-id $RESOURCE_ID \
  --http-method GET \
  --authorization-type NONE

# Create Lambda integration
aws apigateway put-integration \
  --rest-api-id $API_ID \
  --resource-id $RESOURCE_ID \
  --http-method GET \
  --type AWS_PROXY \
  --integration-http-method POST \
  --uri arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1:123456789012:function:MyFunction/invocations

# Deploy to stage
aws apigateway create-deployment \
  --rest-api-id $API_ID \
  --stage-name prod

Lambda Handler for API Gateway

python
import json

def handler(event, context):
    # HTTP API event
    http_method = event.get('requestContext', {}).get('http', {}).get('method')
    path = event.get('rawPath', '')
    query_params = event.get('queryStringParameters', {})
    body = event.get('body', '')

    if body and event.get('isBase64Encoded'):
        import base64
        body = base64.b64decode(body).decode('utf-8')

    # Process request
    response_body = {'message': 'Success', 'path': path}

    return {
        'statusCode': 200,
        'headers': {
            'Content-Type': 'application/json'
        },
        'body': json.dumps(response_body)
    }

Configure CORS

HTTP API:

bash
aws apigatewayv2 update-api \
  --api-id abc123 \
  --cors-configuration '{
    "AllowOrigins": ["https://example.com"],
    "AllowMethods": ["GET", "POST", "PUT", "DELETE"],
    "AllowHeaders": ["Content-Type", "Authorization"],
    "MaxAge": 86400
  }'

REST API:

bash
# Enable CORS on resource
aws apigateway put-method \
  --rest-api-id $API_ID \
  --resource-id $RESOURCE_ID \
  --http-method OPTIONS \
  --authorization-type NONE

aws apigateway put-integration \
  --rest-api-id $API_ID \
  --resource-id $RESOURCE_ID \
  --http-method OPTIONS \
  --type MOCK \
  --request-templates '{"application/json": "{\"statusCode\": 200}"}'

aws apigateway put-method-response \
  --rest-api-id $API_ID \
  --resource-id $RESOURCE_ID \
  --http-method OPTIONS \
  --status-code 200 \
  --response-parameters '{
    "method.response.header.Access-Control-Allow-Headers": true,
    "method.response.header.Access-Control-Allow-Methods": true,
    "method.response.header.Access-Control-Allow-Origin": true
  }'

aws apigateway put-integration-response \
  --rest-api-id $API_ID \
  --resource-id $RESOURCE_ID \
  --http-method OPTIONS \
  --status-code 200 \
  --response-parameters '{
    "method.response.header.Access-Control-Allow-Headers": "'\''Content-Type,Authorization'\''",
    "method.response.header.Access-Control-Allow-Methods": "'\''GET,POST,PUT,DELETE,OPTIONS'\''",
    "method.response.header.Access-Control-Allow-Origin": "'\''*'\''"
  }'

JWT Authorization (HTTP API)

bash
aws apigatewayv2 create-authorizer \
  --api-id abc123 \
  --name jwt-authorizer \
  --authorizer-type JWT \
  --identity-source '$request.header.Authorization' \
  --jwt-configuration '{
    "Issuer": "https://cognito-idp.us-east-1.amazonaws.com/us-east-1_abc123",
    "Audience": ["client-id"]
  }'

CLI Reference

HTTP API (apigatewayv2)

CommandDescription
aws apigatewayv2 create-apiCreate API
aws apigatewayv2 get-apisList APIs
aws apigatewayv2 create-routeCreate route
aws apigatewayv2 create-integrationCreate integration
aws apigatewayv2 create-stageCreate stage
aws apigatewayv2 create-authorizerCreate authorizer

REST API (apigateway)

CommandDescription
aws apigateway create-rest-apiCreate API
aws apigateway get-rest-apisList APIs
aws apigateway create-resourceCreate resource
aws apigateway put-methodCreate method
aws apigateway put-integrationCreate integration
aws apigateway create-deploymentDeploy API

Best Practices

Performance

  • Use HTTP APIs for simple use cases (70% cheaper, lower latency)
  • Enable caching for REST APIs
  • Use regional endpoints unless global distribution needed
  • Implement pagination for list endpoints

Security

  • Use authorization on all endpoints
  • Enable WAF for REST APIs
  • Use API keys for rate limiting (not authentication)
  • Enable access logging
  • Use HTTPS only

Reliability

  • Set up throttling to protect backends
  • Configure timeout appropriately
  • Use canary deployments for updates
  • Monitor with CloudWatch

Troubleshooting

403 Forbidden

Causes:

  • Missing authorization
  • Invalid API key
  • WAF blocking
  • Resource policy denying

Debug:

bash
# Check API key
aws apigateway get-api-key --api-key abc123 --include-value

# Check authorizer
aws apigatewayv2 get-authorizer --api-id abc123 --authorizer-id xyz789

502 Bad Gateway

Causes:

  • Lambda error
  • Integration timeout
  • Invalid response format

Lambda response format:

python
# Correct format
return {
    'statusCode': 200,
    'headers': {'Content-Type': 'application/json'},
    'body': json.dumps({'message': 'success'})
}

# Wrong - missing statusCode
return {'message': 'success'}

504 Gateway Timeout

Causes:

  • Backend timeout (Lambda max 29 seconds for REST API)
  • Integration timeout too short

Solutions:

  • Increase Lambda timeout
  • Use async processing for long operations
  • Increase integration timeout (max 29s for REST, 30s for HTTP)

CORS Errors

Debug:

  • Check OPTIONS method exists
  • Verify headers in response
  • Check origin matches allowed origins

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Api Gateway AI skill do?

AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.

Why use Api Gateway on TypingMind?

Because you install it once and use it with any model. Api Gateway is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Api Gateway in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/api-gateway. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Api Gateway?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Api Gateway?

As many as you like. As long as a model supports skills, you can use Api Gateway with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Api Gateway AI skill free?

Yes. It is published on GitHub by itsmostafa under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇