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Hwc Stimulus Fundamentals

Organization
TheHotwireClub
hwc-stimulus-fundamentals

Cover Stimulus controller fundamentals: lifecycle hooks, values and valueChanged callbacks, targets and target callbacks, outlets, action parameters, keyboard events, and controller architecture patterns. Prefer this skill when the request is primarily about Stimulus APIs and controller design independent of a specific Hotwire domain. Use hwc-forms-validation for form-specific workflows, hwc-navigation-content for Turbo navigation concerns, hwc-realtime-streaming for Turbo Streams/WebSocket patterns, hwc-media-content for media integrations, and hwc-ux-feedback for loading/progress/transition UX patterns.

Overview

PublisherTheHotwireClub
Repositoryhotwire_club-skills
Skill namehwc-stimulus-fundamentals
Stars
140
Forks
4
Bundled files
9
LicenseMIT
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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TheHotwireClub on GitHub. Read the source before you install it.

Installation

Install the Hwc Stimulus Fundamentals 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/TheHotwireClub/hotwire_club-skills.git /tmp/hotwire_club-skills
mkdir -p .claude/skills
cp -r /tmp/hotwire_club-skills/skills/hwc-stimulus-fundamentals .claude/skills/hwc-stimulus-fundamentals
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hwc Stimulus Fundamentals 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 Hwc Stimulus Fundamentals 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 Hwc Stimulus Fundamentals 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.

Stimulus Fundamentals

Implement robust Stimulus controllers with clear lifecycle and state boundaries.

Core Workflow

  1. Define controller contract first: targets, values, outlets, actions, and expected lifecycle.
  2. Keep state transitions in value callbacks when reactive updates are required.
  3. Guard callbacks that can run before connect() completes.
  4. Use connect()/disconnect() for setup and teardown symmetry.
  5. Isolate DOM event handling from business rules; keep controllers composable.

Guardrails

  • Prefer declarative action parameters over manual dataset parsing.
  • Use outlets for controller-to-controller communication instead of private internals.
  • Keep target callbacks idempotent; account for repeated connect/disconnect cycles.
  • Use MutationObserver only when DOM-driven reactivity is required.
  • Feature-detect browser APIs before exposing UI affordances.

Load References Selectively

Open only the file needed for the current request.

  • Value changed callbacks: references/2023-08-29-stimulus-value-changed-callbacks.md
  • Keyboard action filters and hotkeys: references/2023-10-24-stimulus-keyboardevent-101.md
  • MutationObserver-based sorting: references/2023-12-05-stimulus-auto-sorting.md
  • Outlets API communication: references/2023-12-19-stimulus-outlets-api.md
  • Target callback orchestration: references/2024-05-07-stimulus-target-callbacks.md
  • Web Share API integration: references/2025-11-25-stimulus-web-share-api.md
  • Core Web Vitals and lazy-loading fundamentals: references/2024-06-18-fundamentals-core-web-vitals.md

Use references/INDEX.md for the full catalog.

Escalate to Neighbor Skills

  • Form-centric behavior: use hwc-forms-validation
  • Navigation/history/cache with Turbo: use hwc-navigation-content
  • Turbo Stream/WebSocket orchestration: use hwc-realtime-streaming
  • Media integrations and playback concerns: use hwc-media-content
  • UX feedback/transitions/progress concerns: use hwc-ux-feedback

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 Hwc Stimulus Fundamentals AI skill do?

Cover Stimulus controller fundamentals: lifecycle hooks, values and valueChanged callbacks, targets and target callbacks, outlets, action parameters, keyboard events, and controller architecture patterns. Prefer this skill when the request is primarily about Stimulus APIs and controller design independent of a specific Hotwire domain. Use hwc-forms-validation for form-specific workflows, hwc-navigation-content for Turbo navigation concerns, hwc-realtime-streaming for Turbo Streams/WebSocket patterns, hwc-media-content for media integrations, and hwc-ux-feedback for loading/progress/transiti...

Why use Hwc Stimulus Fundamentals on TypingMind?

Because you install it once and use it with any model. Hwc Stimulus Fundamentals 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 Hwc Stimulus Fundamentals in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheHotwireClub/hotwire_club-skills/tree/main/skills/hwc-stimulus-fundamentals. 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 Hwc Stimulus Fundamentals?

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 Hwc Stimulus Fundamentals?

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

Is the Hwc Stimulus Fundamentals AI skill free?

Yes. It is published on GitHub by TheHotwireClub under the MIT 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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