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Animate Objects

Community
Hmbown
animate-objects

This spell transforms inert → reactive. It does NOT create new tools, train models, run one-off fixes, or build physical systems. The key pattern: existing artifact + trigger/watcher + bounded autonomy.

Overview

PublisherHmbown
RepositoryWizards-of-the-Ghosts
Skill nameanimate-objects
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 Animate Objects 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/animate-objects .claude/skills/animate-objects
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Animate Objects 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 Animate Objects 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 Animate Objects 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.

Animate Objects

Give agency to passive data by attaching triggers, watchers, and autonomous update logic.

What This Skill Does

This spell transforms inert → reactive. It does NOT create new tools, train models, run one-off fixes, or build physical systems. The key pattern: existing artifact + trigger/watcher + bounded autonomy. In this grimoire, Animate Objects is treated as a literal spell with a prototype delivery profile. Canonical reference input: Animate Objects (spell).

When To Use

  • Trigger this spell when a user asks to make an existing static artifact self-updating, reactive, or autonomous. Look for:
  • "make it alive", "living document", "self-updating", "auto-refresh"
  • References to existing files: CSV, YAML, JSON, README, config, spreadsheet, dashboard, spec, diagram
  • Phrases like "pulls from [source]", "watches for changes", "reconciles differences", "flags when stale"
  • Desire for ongoing automation attached to a specific existing artifact

Prerequisites

  • No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.

Procedure

  1. Restate the target, the success condition, and any no-touch boundaries before taking action.
  2. Identify the inert artifact — name the exact file, dataset, or document. Confirm it exists and is currently static.
  3. Define the trigger — what event, schedule, or change should wake it up? (cron, file watch, API poll, git hook, webhook)
  4. Specify the autonomous action — what exactly should it do when triggered? Keep scope narrow: update itself, flag discrepancies, regenerate derived output.
  5. Set boundaries and kill switch — what must it NOT do? How do you revert it to passive state? Document both before implementing.
  6. Implement minimal agency — attach the simplest trigger + action loop that satisfies the request. Prefer existing tooling (watchexec, cron, GitHub Actions, simple scripts) over custom daemons.
  7. Verify containment — confirm the artifact only acts within its granted scope and the kill switch works.
  8. Stop for explicit confirmation before taking a live action that changes access, triggers an alert, or touches a real system boundary.
  9. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • A previously static artifact with autonomous update or reaction logic attached.
  • A clear definition of the object's granted agency and its boundaries.
  • A kill switch or revert path that returns the object to its inert state.

Pitfalls / Guardrails

  • Call out the glue, permissions, or missing infrastructure before you imply this is fully operational.
  • Scope must be explicit: a self-updating spreadsheet does not start sending emails unless approved
  • Always provide a documented kill switch or revert path
  • No write access to downstream systems without explicit user approval
  • Prefer read-only or self-modifying behavior over cross-system actuation
  • Do not use for: Training AI on data — "teach this dataset to understand queries" → ML/NLP spell
  • Do not use for: One-off cleanup scripts — "run once to fix stale entries" → simple scripting, no ongoing agency
  • Do not use for: Building new tools — "create a CLI tool" → software development, not animating existing artifact
  • Do not use for: Physical automation — "robot that moves objects" → hardware/IoT, out of scope
  • Do not use for: Syntax repair — "fix broken JSON" → data repair, no autonomy added
  • Do not use for: Autonomous agents — "virtual assistant that makes decisions" → agent design, not artifact animation

Verification

  • Check that the result includes every deliverable promised above.
  • Check that confirmed facts, assumptions, and inferences are visibly separated.
  • Check that the exact live target, confirmation gate, and rollback or recovery path are explicit.
  • Check that any missing glue code, permissions, or future work is labeled before the skill is treated as ready.

Example Invocation

text
/animate-objects make this artifact self-updating, with clear agency boundaries and a kill switch

Frequently asked questions

What does the Animate Objects AI skill do?

This spell transforms inert → reactive. It does NOT create new tools, train models, run one-off fixes, or build physical systems. The key pattern: existing artifact + trigger/watcher + bounded autonomy.

Why use Animate Objects on TypingMind?

Because you install it once and use it with any model. Animate Objects 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 Animate Objects 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/animate-objects. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Animate Objects?

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 Animate Objects?

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

Is the Animate Objects 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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