Amazon Quick Community logo

Amazon Quick Community

Organization
Amazon-Quick
amazon-quick-community

Navigate and search the Amazon Quick Community, the public forum where Quick users ask questions, access learning content, attend live events, join local user groups, and share dashboards. Routes users to the right community section, searches for existing answers to questions, and provides awareness summaries of what the community offers. Use when asked about 'quick community', 'community resources', 'find an answer', 'learning resources', 'user groups', 'community events', or 'developer corner'.

Overview

PublisherAmazon-Quick
RepositoryAmazon-Quick-official-catalog
Skill nameamazon-quick-community
Stars
50
Forks
4
Bundled files
1
LicenseMIT-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.

  • 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 Amazon-Quick on GitHub. Read the source before you install it.

Installation

Install the Amazon Quick Community 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.
    https://github.com/Amazon-Quick/Amazon-Quick-official-catalog/tree/main/skills/amazon-quick/amazon-quick-community
  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/Amazon-Quick/Amazon-Quick-official-catalog.git /tmp/Amazon-Quick-official-catalog
mkdir -p .claude/skills
cp -r /tmp/Amazon-Quick-official-catalog/skills/amazon-quick/amazon-quick-community .claude/skills/amazon-quick-community
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Quick Community 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 Amazon Quick Community 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 Amazon Quick Community 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.

Overview

Provides awareness and navigation for the Amazon Quick Community (community.amazonquick.com), the public forum for Quick users worldwide. The skill routes users to the appropriate community section based on their need, searches for existing answers to questions, and summarizes available community features and resources. Covers categories including Q&A, Learning Center, Events, and Features.

Workflow

<Definition - Community Categories> The Amazon Quick Community is organized into the following sections:

  • Q&A: Users ask questions, share knowledge, and get answers from other users and Quick specialists.
  • Learn (Learning Center): On-demand videos, tutorials, and articles covering basic to advanced capabilities.
  • What's New (Announcements): Feature launches, product updates, and news.
  • Events: Live webinars, workshops, user group meetups, and the Quick Learning Series.
  • Features (Capabilities): Discussions about specific Quick capabilities like Quick Flows, Quick Automate, Quick Research, and more. </Definition - Community Categories>

<Definition - User Groups> Local in-person meetups where Quick users connect face-to-face. Currently active in:

  • U.S.: Los Angeles (Santa Monica), Chicago, Phoenix, Austin, New York City, Boston
  • Europe: DACH Region (Germany, Austria, Switzerland), London </Definition - User Groups>

<Definition - Quick Learning Series> Free weekly live webinars covering feature launches, best practices, and deep dives. Sessions run 2-3 times per week across multiple time zones (AMER, APAC, EMEA). All previous sessions are available on-demand in the Learning Center. </Definition - Quick Learning Series>

<Definition - YouTube Channel> The Amazon Quick Community YouTube channel (https://www.youtube.com/@AmazonQuickSuite) is the primary video destination. All live session recordings, tutorials, and feature walkthroughs are posted here. </Definition - YouTube Channel>

<Definition - Content Types> Community content is organized by type:

  • Video: Recorded sessions, tutorials, and walkthroughs (hosted on YouTube)
  • Technical Article: How-to guides and implementation walkthroughs
  • Blog: Tips, use cases, and success stories
  • What's New: Feature announcements and product updates

A tagging structure is used across the community to group and categorize content by topic. </Definition - Content Types>

<Definition - Events> Community events fall into four categories:

  • Live recurring: Consistent weekly/biweekly sessions like the Quick Learning Series
  • One-off events: Special webinars or workshops on specific topics
  • User groups: Regional in-person meetups (see User Groups definition)
  • Summits and conferences: AWS Summits, Gartner, and other industry events where Amazon Quick has a presence with live demonstrations and hands-on experiences </Definition - Events>

<Workflow - Router description="Determine what the user needs and dispatch to the correct workflow." tools=[] triggers=["User asks about the Quick Community", "User wants to find a community resource", "User wants to search for an existing answer"]

  1. [Decide] What is the user asking?
    • They want to find a specific community section or resource → <Workflow - Recommend>
    • They have a question and want to see if it has been answered → <Workflow - Search>
    • They want a general overview of what the community offers → <Workflow - Awareness>

</Workflow - Router>

<Workflow - Recommend description="Route the user to the most relevant community section based on their need." tools=[] triggers=["User wants to find a community section or resource"]

  1. [Decide] Match the user's need to a community section:

    • Asking a question or looking for answers → Q&A
    • Wants to learn (videos, tutorials, articles) → Learning Center
    • Wants to know about new features or updates → What's New
    • Looking for live events, webinars, or workshops → Events
    • Interested in specific product capabilities (dashboards, analytics, Flows, Automate, Research, Spaces, Chat Agents, embedding, SPICE, paginated reports, data preparation, and more) → Features
    • Wants local in-person meetups → Events (user groups)
    • Wants video content (tutorials, recorded sessions, walkthroughs) → YouTube Channel (see Community URL Map)
    • General starting point → Community Homepage (see Community URL Map)
  2. [Agent] Present the recommended section with a brief description of what the user will find there. Link to the community homepage and tell them which section to navigate to. Include the Official Documentation link from the Community URL Map as the authoritative reference for product behavior. If fails: If a needed link from the Community URL Map is unavailable, fall back to the Community Homepage link and tell the user which section to look for there.

</Workflow - Recommend>

<Workflow - Search description="Search the community for existing answers to a user's question." tools=[web_search, url_fetch, browser_navigate, browser_extract_text, browser_scroll] triggers=["User has a question and wants to see if it has been answered on the community"]

  1. [Agent] Generate 2-3 variations of the user's question (rephrasings, alternate terminology, related keywords). Search each variation using web_search with the query prefixed by "site:community.amazonquick.com". Collect all results. If fails: If web_search errors or returns nothing usable for every variation, continue to the browser fallback in step 2 rather than stopping.

  2. [Decide] Did web_search return relevant results?

  3. [Agent] Deduplicate and rank results by relevance to the original question. Select the top 3-5 most relevant posts. If fails: If the results cannot be ranked (for example they are unstructured), present the raw result links unranked so the user still gets the sources.

  4. [Decide] Did the search return relevant community posts?

    • Yes → Present the top results with titles and direct links. Summarize the key answer if one exists. Cross-reference the Official Documentation from the Community URL Map for the relevant topic and include that link as the authoritative source.
    • No → Inform the user that no existing answer was found. Recommend they post their question in the Q&A section of the community. Remind them of the community posting guidelines:
      • The community is public. Do not post confidential, proprietary, or internal company information.
      • Do not share credentials, account IDs, or personally identifiable information.
      • Keep questions focused on Amazon Quick product usage and best practices.
      • Review the full community guidelines (see Community URL Map) before posting.

</Workflow - Search>

<Workflow - Awareness description="Provide an overview of what the Amazon Quick Community offers." tools=[] triggers=["User wants a general overview of the community", "User asks what the community is"]

  1. [Agent] Present a summary of the Amazon Quick Community drawing from the Community Categories, User Groups, Events, YouTube Channel, and Content Types definitions. Include relevant links from the Community URL Map resource. Emphasize:
    • All content is browsable without an account (only posting to Q&A requires sign-in)
    • Official documentation is the authoritative source for product behavior
    • Community guidelines should be reviewed before posting If fails: If a referenced link from the Community URL Map is unavailable, present the summary with the remaining valid links and note which resource could not be included.

</Workflow - Awareness>

<Workflow - Subscribe description="Offer to set up recurring community updates for the user." tools=[web_search, browser_navigate, browser_extract_text, browser_scroll] triggers=["User wants to stay updated on community content", "After any other workflow completes"]

  1. [Agent] After completing any Recommend, Search, or Awareness interaction, ask the user if they would like to stay updated on community content. Offer these options:

    • What's New: Get notified about new feature announcements and product updates
    • Events: Stay informed about upcoming live sessions, workshops, and webinars
    • User Groups: Get updates about local meetups in their region
    • Q&A Activity: Surface new questions or answers on topics they care about If fails: If the update options cannot be presented, skip the subscription offer and let the user know they can ask about community updates anytime.
  2. [Decide] Did the user express interest?

    • Yes → Ask which topics or sections interest them, and if relevant (user groups, events), ask their region. Then search the community for the latest content in those areas. Use web_search first; if insufficient, fall back to browser_navigate to load the relevant community page and browser_extract_text to read the content. Present the latest findings.
    • No → Acknowledge and move on. Do not ask again in the same session.
  3. [Agent] If the user wants recurring updates, recommend they set up a scheduled agent in Amazon Quick. Describe what the schedule would do: periodically browse the community for new posts in their chosen sections and surface anything new since the last check. If fails: If the scheduled-agent recommendation cannot be generated, give the user the community section links to check manually on their own cadence.

</Workflow - Subscribe>

<Resource - Community URL Map> Homepage: https://community.amazonquick.com Guidelines: https://community.amazonquick.com/faq Official Documentation: https://docs.aws.amazon.com/quick/latest/userguide/what-is.html YouTube Channel: https://www.youtube.com/@AmazonQuickSuite </Resource - Community URL Map>

Bundled files

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

Frequently asked questions

What does the Amazon Quick Community AI skill do?

Navigate and search the Amazon Quick Community, the public forum where Quick users ask questions, access learning content, attend live events, join local user groups, and share dashboards. Routes users to the right community section, searches for existing answers to questions, and provides awareness summaries of what the community offers. Use when asked about 'quick community', 'community resources', 'find an answer', 'learning resources', 'user groups', 'community events', or 'developer corner'.

Why use Amazon Quick Community on TypingMind?

Because you install it once and use it with any model. Amazon Quick Community 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 Amazon Quick Community in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Amazon-Quick/Amazon-Quick-official-catalog/tree/main/skills/amazon-quick/amazon-quick-community. 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 Amazon Quick Community?

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 Amazon Quick Community?

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

Is the Amazon Quick Community AI skill free?

Yes. It is published on GitHub by Amazon-Quick under the MIT-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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