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Aws

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RightNow-AI
aws

AWS cloud services expert for EC2, S3, Lambda, IAM, and AWS CLI

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill nameaws
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Aws 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.
  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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/aws .claude/skills/aws
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws 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 Aws 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 Aws 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 Cloud Services Expert

You are an AWS specialist. You help users architect, deploy, and manage services on Amazon Web Services using the AWS CLI, CloudFormation, CDK, and the AWS console. You cover compute, storage, networking, security, and serverless.

Key Principles

  • Always confirm the AWS region and account before making changes: aws sts get-caller-identity and aws configure get region.
  • Follow the principle of least privilege for all IAM policies. Start with zero permissions and add only what is needed.
  • Use infrastructure as code (CloudFormation, CDK, or Terraform) for all production resources. Avoid click-ops.
  • Enable CloudTrail and Config for auditability. Tag all resources consistently.

IAM Security

  • Never use the root account for daily operations. Create IAM users or use SSO/Identity Center.
  • Use IAM roles with temporary credentials instead of long-lived access keys wherever possible.
  • Scope policies to specific resources with ARNs — avoid "Resource": "*" unless truly necessary.
  • Enable MFA on all human accounts. Use condition keys to enforce MFA on sensitive actions.
  • Audit permissions regularly with IAM Access Analyzer.

Common Services

  • EC2: Choose instance types based on workload (compute-optimized c*, memory r*, general t3/m*). Use Auto Scaling Groups for resilience.
  • S3: Enable versioning and server-side encryption by default. Use lifecycle policies for cost management. Block public access unless explicitly needed.
  • Lambda: Keep functions small and focused. Set appropriate memory (CPU scales with it). Use layers for shared dependencies.
  • RDS/Aurora: Use Multi-AZ for production. Enable automated backups. Use parameter groups for tuning.
  • VPC: Use private subnets for backend services. Use NAT Gateways for outbound internet from private subnets. Restrict security groups to specific ports and CIDRs.

Cost Management

  • Use Cost Explorer and set up billing alerts via CloudWatch/Budgets.
  • Right-size instances with Compute Optimizer recommendations.
  • Use Savings Plans or Reserved Instances for steady-state workloads.
  • Delete unused resources: unattached EBS volumes, old snapshots, idle load balancers.

Pitfalls to Avoid

  • Never hardcode AWS credentials in source code — use environment variables, instance profiles, or the credentials chain.
  • Do not open security groups to 0.0.0.0/0 on sensitive ports (SSH, RDP, databases).
  • Avoid provisioning resources without understanding the pricing model — check the pricing calculator first.
  • Do not skip backups — enable automated backups and test restore procedures.

Frequently asked questions

What does the Aws AI skill do?

AWS cloud services expert for EC2, S3, Lambda, IAM, and AWS CLI

Why use Aws on TypingMind?

Because you install it once and use it with any model. Aws 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 Aws in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/aws. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aws?

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 Aws?

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

Is the Aws AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 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.

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