connecting-lambda-to-api-gateway
Skill from aws/agent-toolkit-for-aws
Install
npx skills add aws/agent-toolkit-for-aws --skill connecting-lambda-to-api-gateway
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
What does the connecting-lambda-to-api-gateway skill do?
Description from the SKILL.md in the source repository.
Questions about connecting-lambda-to-api-gateway
What does the connecting-lambda-to-api-gateway skill do?
Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production security hardening that are easy to miss.
How do I install connecting-lambda-to-api-gateway?
In a terminal: npx skills add aws/agent-toolkit-for-aws --skill connecting-lambda-to-api-gateway. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use connecting-lambda-to-api-gateway?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is connecting-lambda-to-api-gateway safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
More skills from aws/agent-toolkit-for-aws
Deploys, hosts, or runs a container or Docker app on Amazon Lightsail Container Service and returns a live, managed HTTPS URL at a flat monthly price — no cluster, VPC, load balancer …
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock).
Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog state, and metadata quality analysis. …
Queries S3 object metadata, tracks bucket activity, audits object changes, searches annotations, and analyzes storage metrics using S3 Metadata system tables (journal, inventory, annotation) and S3 Storage Lens tables via Athena SQL. …
Enables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies publishing status, and queries the published logs via any Iceberg-compatible engine …
Runs SQL queries on CloudWatch Logs data exported as Apache Iceberg tables in S3 Tables. Covers VPC Flow Logs, WAF logs, CloudFront access logs, Route 53 resolver logs, Network Firewall logs, EKS …
Runs SQL queries on Amazon Athena query history exported as an Apache Iceberg table in S3 Tables. The query_executions system table captures per-query metadata (query text, IAM principal, work group, statement type …
Diagnoses and resolves Amazon S3 Files issues including mount failures, permission errors, synchronization problems, and performance issues.
Related skills in Development
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what …
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references.
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. WHEN: create architecture diagram, visualize Azure resources, show resource relationships, generate Mermaid diagram, analyze resource group …
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection …
Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems.