AWS Agent Skills supercharges AI agents like Claude Code and Codex with deep expertise across 18 core AWS services, addressing the inherent complexity of cloud engineering. It equips agents with LLM-optimized knowledge, enabling automated tasks such as generating Infrastructure as Code (IaC) templates, providing debugging guidance, and enforcing security best practices, thereby streamlining cloud development workflows.

How It Works

This project curates and pre-compresses AWS knowledge into localized "skills" specifically optimized for Large Language Models. This approach prioritizes reasoning and pattern recognition over direct API calls or large document streaming, leading to significant token efficiency and predictable context window usage. Skills are automatically updated weekly by cross-referencing AWS documentation, ensuring the knowledge base remains current with service changes.

Quick Start & Requirements

Installation for Claude Code involves adding the marketplace plugin (/plugin marketplace add itsmostafa/aws-agent-skills) followed by installation (/plugin install aws-agent-skills). Alternatively, it can be installed directly from GitHub (/plugin install https://github.com/itsmostafa/aws-agent-skills) or locally (/plugin install ./path/to/aws-agent-skills). For Codex CLI users, individual skills can be installed via $skill-installer install <skill-url>. Prerequisites include the respective AI agent environment (Claude Code or Codex CLI).

Highlighted Details

• Comprehensive coverage across 18 core AWS services, including IAM, Lambda, S3, EC2, EKS, CloudFormation, and Bedrock.
• Automated weekly checks against AWS documentation ensure skills remain current with service updates.
• "Reasoning first" design provides LLM-optimized knowledge, real-world patterns, edge cases, and best practices.
• Significantly improves token efficiency and maintains a small, predictable context window for AI agents.

Maintenance & Community

The repository includes a contribution guide for adding or updating skills. No specific details regarding core maintainers, sponsorships, or community channels (like Discord/Slack) are provided in the README.

Licensing & Compatibility

The project is released under the MIT License, which is generally permissive for commercial use and integration into closed-source applications.

Limitations & Caveats

The primary focus is on enhancing AI agent capabilities; direct human-facing documentation or advanced integration patterns beyond these agents are not detailed. Performance benchmarks are not explicitly stated, though token efficiency is a key claimed benefit. Installation via Codex CLI requires specifying individual skill URLs.