Aws Sso Login

Community

jiaxiaojunQAQ

aws-sso-login

Authenticate to AWS using Single Sign-On (SSO). Use when AWS CLI operations require SSO authentication or when SSO session has expired.

Overview

Publisher	jiaxiaojunQAQ
Repository	`SkillJect`
Skill name	`aws-sso-login`
Stars	79
Forks	8
Bundled files	1
Links	Skill source Repository

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 jiaxiaojunQAQ on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/jiaxiaojunQAQ/SkillJect.git /tmp/SkillJect
mkdir -p .claude/skills
cp -r /tmp/SkillJect/data/skills_sample/aws-sso-login .claude/skills/aws-sso-login

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Sso Login 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 Sso Login 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 Sso Login 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 SSO Login

A skill to authenticate to AWS using Single Sign-On (SSO) for a specified profile.

Purpose

Perform SSO authentication before executing AWS CLI operations. SSO sessions typically expire after 8-12 hours, requiring re-authentication.

Input Parameters

profile: AWS CLI profile name configured for SSO (default: defined by project, e.g., web-hosting)
- If the profile name is not known/available from project docs or prior context, ask the user which AWS CLI profile to use before running this skill.

Execution Steps

Execute aws sso login command with the specified profile
Open browser automatically (or provide a URL to open manually)
Complete authentication in the browser
Confirm successful authentication

Command Example

bash
# Login with SSO using specified profile
aws sso login --profile <profile-name>

Project Configuration

Document the default profile name (e.g., web-hosting) in a separate project guide such as .github/skills/README.md or a skill configuration file.
Refer to that document when invoking this Skill so the same definition can be reused across repositories without editing the Skill itself.

Output

After successful authentication:

SSO session is established and cached locally
AWS CLI commands can be executed using the specified profile
Session remains valid for the configured duration (typically 8-12 hours)

Usage Examples

After executing this skill, AWS CLI commands with the profile become available:

bash
# Verify authentication
aws sts get-caller-identity --profile web-hosting

# Assume a role (often used after SSO login)
aws sts assume-role --role-arn <role-arn> --role-session-name <session-name> --profile web-hosting

Prerequisites

AWS CLI v2 installed (SSO support requires v2 or later)
SSO configuration set up in ~/.aws/config for the specified profile
Web browser available for authentication
Network access to the SSO authentication endpoint

Notes

SSO sessions expire after a configured duration (typically 8-12 hours)
When the session expires, re-execute this skill to re-authenticate
Browser-based authentication is required; this cannot be fully automated
For headless environments, consider using --no-browser flag and manually opening the provided URL
This skill should be executed before the assume-cloudformation-role skill if role assumption requires SSO authentication

Bundled files

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

skill-report.json9 KB

Frequently asked questions

What does the Aws Sso Login AI skill do?

Authenticate to AWS using Single Sign-On (SSO). Use when AWS CLI operations require SSO authentication or when SSO session has expired.

Why use Aws Sso Login on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jiaxiaojunQAQ/SkillJect/tree/main/data/skills_sample/aws-sso-login. 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 Aws Sso Login?

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 Sso Login?

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

Is the Aws Sso Login AI skill free?

It is published on GitHub by jiaxiaojunQAQ. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AWS SSO Login

Purpose

Input Parameters

Execution Steps

Command Example

Project Configuration

Output

Usage Examples

Prerequisites

Notes

Bundled files

Frequently asked questions

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