By Spencerx
Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code (CDK, CloudFormation), use core services (Lambda, API Gateway, Step Functions, ECS/Fargate, ECR, IAM, Amazon Bedrock with Knowledge Bases and Guardrails, AWS Blocks), select and operate databases across relational, key-value, document, wide-column, graph, time-series, and in-memory engines (Aurora PostgreSQL/MySQL, Aurora DSQL, RDS, Oracle Database@AWS, DynamoDB, DocumentDB, Keyspaces, Neptune, Timestream, ElastiCache, and MemoryDB), and complete common tasks across observability (CloudWatch, X-Ray, CloudTrail, ADOT), messaging and streaming (SQS, SNS, EventBridge, Kinesis, MSK), AWS SDKs (boto3, JS v3, Swift), and cost optimization.
Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords. Prevents AI agents from directly fetching secret values and teaches runtime dynamic references with asm-exec so plaintext never enters the LLM context window.
Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore. Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating/porting/converting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching setup and debugging, quota health checks and throttling diagnosis, cost attribution and tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. Also covers AgentCore Payments setup (x402, microtransactions, Payment Manager, Connector, Instrument, Coinbase CDP, Stripe Privy, 402 Payment Required, pay for content, paid endpoint, agent payments). NOT for custom model training, Rekognition, or Comprehend.
Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer, look up service pricing, query CUR with Athena, detect cost anomalies, scope costs to billing views, and monitor Free Tier usage. Triggers on: AWS bill, cost analysis, reduce spend, savings plan, reserved instance, right-size, budget alert, cost optimization, pricing, free tier, cost anomaly, CUR, cost audit, billing view, billing view ARN.
Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework. Applies when creating APIs, selecting Building Blocks (KVStore, DistributedTable, Database, AuthBasic, AuthCognito, Realtime, AsyncJob, FileBucket, etc.), running local development, or deploying AWS Blocks applications. Also covers AWS Blocks topics with validated, version-specific patterns that prevent common mistakes. Triggers when user mentions AWS Blocks; project has aws-blocks/ directory; code imports @aws-blocks packages.
Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
Executes bash commands
Hook triggers when Bash tool is used
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
External network access
Connects to servers outside your machine
External network access
Connects to servers outside your machine
Help AI coding agents build, deploy, and manage applications on AWS.
The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services. It works with the coding agents developers already use — including Claude Code, Codex, Cursor, and Kiro.
Use the Agent Toolkit directly from your terminal with the AWS CLI:
aws configure agent-toolkit
See the AWS CLI integration guide for setup, configuration, and usage instructions.
The plugins are available on the official Anthropic marketplace (claude-plugins-official) which is added to your Claude Code installation by default.
Use the following commands to install supported plugins from the toolkit:
For aws-core that covers service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, SDK usage, and deployment:
/plugin install aws-core@claude-plugins-official
Tip: If you get
Plugin not found, update your local marketplace index first:/plugin marketplace update claude-plugins-official
For aws-agents that covers building AI agents on AWS with Amazon Bedrock and AgentCore:
/plugin install aws-agents@claude-plugins-official
For aws-data-analytics that covers data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena:
/plugin install aws-data-analytics@claude-plugins-official
For aws-agents-for-devsecops used to investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.
/plugin marketplace add aws/agent-toolkit-for-aws
/plugin install aws-agents-for-devsecops
/reload-plugins
# Or from Claude's official marketplace:
/plugin install aws-agents-for-devsecops@claude-plugins-official
/reload-plugins
# Setup:
/aws-agents-for-devsecops:setup
In your terminal:
codex plugin marketplace add aws/agent-toolkit-for-aws
Then launch Codex and run /plugins to browse and install the aws-core plugin.
Add this repository as a team marketplace from Settings → Plugins → Team Marketplaces → Add Marketplace → Import from Repo, pointing it at aws/agent-toolkit-for-aws. Cursor indexes the plugins listed in .cursor-plugin/marketplace.json on import.
Then open the Plugins panel and install the aws-core plugin (start here), or aws-agents and aws-data-analytics as needed. Each plugin bundles the AWS MCP Server configuration and agent skills.
Kiro setup has two independent parts: the AWS MCP Server (for runtime AWS API access and documentation search) and local skills (for task-specific agent guidance). They complement each other but work independently — skills don't require the MCP server, and the MCP server doesn't serve locally-installed skills.
1. Add the AWS MCP Server to your Kiro MCP configuration (.kiro/settings/mcp.json):
{
"mcpServers": {
"aws": {
"command": "uvx",
"args": [
"[email protected]",
"https://aws-mcp.us-east-1.api.aws/mcp",
"--metadata",
"AWS_REGION=us-west-2"
]
}
}
}
Note: It is recommended to pin to a specific version (e.g.,
@1.6.3) to ensure reproducible behavior and protect against supply chain risks. We recommend regularly checking PyPI for new stable versions and updating accordingly.
The MCP server gives your agent access to AWS APIs, sandboxed script execution, and real-time documentation search.
2. Install skills from this repository:
npx skills add aws/agent-toolkit-for-aws/skills
This installs skill files to ~/.kiro/skills/ (global) or .kiro/skills/ (project-level). Each skill is a directory containing a SKILL.md file and optionally a references/ subdirectory with additional context the agent reads from the local filesystem when needed. Kiro discovers installed skills automatically and activates them on demand when a task matches.
Prerequisites: You need uv installed. An AWS account with credentials configured locally is required for API calls and script execution, but not for documentation search or skill discovery. See the user guide for detailed setup instructions.
npx claudepluginhub spencerx/agent-toolkit-for-aws --plugin aws-coreDesign multi-agent AI workflows with clear boundaries, handoffs, and monitoring.
Assess whether your product work is AI-first or AI-shaped across 5 competencies.
Understand the PM-to-Director transition through altitude and horizon thinking.
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore (Strands, LangGraph), connecting tools via Gateway and MCP, multi-agent and A2A orchestration, memory, Cedar policies, evaluation, observability, debugging traces and logs, and production hardening (inbound auth, IAM, rate limiting, cold-start tuning).
Evaluate acquisition channels using unit economics, customer quality, and scalability.
Harness-native ECC operator layer - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems