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Awaken

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Hmbown
awaken

Awaken gives a non-intelligent system a usable voice without pretending the underlying system became sentient. The real move is to wrap a thermostat, spreadsheet, legacy database, shell script, or crusty internal tool in a conversational or agent-like interface that exposes what it can already do. Good Awaken work turns buried affordances into accessible ones. Bad Awaken work hallucinates capabilities the substrate does not have. The spell is strongest when the wrapper is honest about its limits and preserves the original system's safety boundaries.

Overview

PublisherHmbown
RepositoryWizards-of-the-Ghosts
Skill nameawaken
Stars
106
Forks
10
Bundled files
Instructions only
LicenseCC0-1.0
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 Hmbown on GitHub. Read the source before you install it.

Installation

Install the Awaken 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/Hmbown/Wizards-of-the-Ghosts.git /tmp/Wizards-of-the-Ghosts
mkdir -p .claude/skills
cp -r /tmp/Wizards-of-the-Ghosts/generated/hermes/actions-access-and-automation/awaken .claude/skills/awaken
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Awaken 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 Awaken 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 Awaken 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.

Awaken

Teach an old machine to answer back.

What This Skill Does

Awaken gives a non-intelligent system a usable voice without pretending the underlying system became sentient. The real move is to wrap a thermostat, spreadsheet, legacy database, shell script, or crusty internal tool in a conversational or agent-like interface that exposes what it can already do. Good Awaken work turns buried affordances into accessible ones. Bad Awaken work hallucinates capabilities the substrate does not have. The spell is strongest when the wrapper is honest about its limits and preserves the original system's safety boundaries. In this grimoire, Awaken is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Awaken (spell).

When To Use

  • Activate Awaken when a user wants to add a conversational, natural-language, or agent-like interface on top of an existing system that already works but has a poor or technical interface. The substrate is dumb; the wrapper is smart. You are not building the underlying capability — you are exposing what already exists.
  • These patterns strongly indicate Awaken:
  • "wrap [system] so I can [natural language action]"
  • "add a conversational layer / voice interface / chat front-end to..."
  • "nobody remembers the flags/commands/FTP syntax for..."
  • "give voice to..." / "make it answer when I ask..."
  • "let users say '[plain English request]' instead of..."
  • References to legacy systems, CLIs, green screens, serial ports, Modbus registers, cron jobs, bash scripts, spreadsheets, PLCs, Home Assistant automations, MQTT topics, or REST APIs with no UI

Prerequisites

  • Environment variables available to Hermes: HA_URL, HA_TOKEN.
  • Primary credential or token: HA_TOKEN.
  • Binaries on PATH: curl.

Setup

  1. Confirm the required environment variables are available inside the active Hermes runtime, not just in a shell profile.
  2. Verify the required binaries resolve on PATH before you rely on them in a procedure.
  3. Choose a non-production or low-risk target first if the skill can page, unlock, alert, or touch a live integration.

Procedure

  1. Restate the target, the success condition, and any no-touch boundaries before taking action.
  2. Inventory first: List the system's actual capabilities, constraints, and permissions before designing any language layer. Do not invent capabilities.
  3. Map intents to actions: Define concrete user intents → specific backend actions → explicit fallbacks for when the wrapper cannot comply.
  4. Design the honest wrapper: Specify how it reads state, executes approved actions, and explains failures in plain language. The wrapper must never imply the substrate is more capable than it is.
  5. Return the awakening plan: Deliver an interface-wrapping plan, intent-to-action map with fallback paths, and a risk note describing what the wrapper must never imply or automate.
  6. Home Assistant path: If Home Assistant is the target, trigger wake scenes or automations via POST to /api/services/scene/turn_on or /api/services/automation/trigger with the appropriate entity_id.
  7. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • An interface-wrapping plan for the existing system.
  • An intent-to-action map covering supported requests and fallback paths.
  • A risk note describing what the wrapper must never imply or automate.

Pitfalls / Guardrails

  • Keep the metaphor anchored to a real mechanism instead of drifting into lore.
  • Never present the wrapped system as more capable, autonomous, or reliable than it really is.
  • Preserve the source system's permissions, approval steps, and failure semantics — do not bypass them.
  • If a request asks you to build the underlying system, reject and clarify: Awaken wraps, it does not create.
  • Do not use for: Creating from scratch: "spin up", "build these services", "bring to life" → animate, not awaken
  • Do not use for: Interpreting output: "parse these logs", "what do these sensors mean", "translate this data" → translate/attune, not awaken
  • Do not use for: Understanding architecture: "walk me through how this works", "attune me to the codebase" → attune, not awaken
  • Do not use for: The key distinction: Awaken requires an existing system with real affordances that need a better interface. If there's nothing to wrap, it's not Awaken.
  • Do not rely on a live integration until credentials, target scope, and rollback expectations are verified.

Verification

  • Check that the result includes every deliverable promised above.
  • Check that confirmed facts, assumptions, and inferences are visibly separated.
  • Check that the metaphor still maps cleanly to a real operational mechanism.
  • Check the required environment variables and binaries in the active Hermes runtime before trusting the procedure on a live target.

Example Invocation

text
/awaken design a conversational or intelligent wrapper around this dumb system without pretending the underlying machine became smarter than it is

Frequently asked questions

What does the Awaken AI skill do?

Awaken gives a non-intelligent system a usable voice without pretending the underlying system became sentient. The real move is to wrap a thermostat, spreadsheet, legacy database, shell script, or crusty internal tool in a conversational or agent-like interface that exposes what it can already do. Good Awaken work turns buried affordances into accessible ones. Bad Awaken work hallucinates capabilities the substrate does not have. The spell is strongest when the wrapper is honest about its limits and preserves the original system's safety boundaries.

Why use Awaken on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Hmbown/Wizards-of-the-Ghosts/tree/main/generated/hermes/actions-access-and-automation/awaken. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Awaken?

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 Awaken?

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

Is the Awaken AI skill free?

Yes. It is published on GitHub by Hmbown under the CC0-1.0 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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