Planar Binding logo

Planar Binding

Community
Hmbown
planar-binding

Use this spell when you need to summon a powerful external entity - a third-party API, a cloud service, another agent - and lock it into serving your workflow under explicit terms.

Overview

PublisherHmbown
RepositoryWizards-of-the-Ghosts
Skill nameplanar-binding
Stars
106
Forks
10
Bundled files
Instructions only
LicenseCC0-1.0
Links
Skill sourceRepository
  • 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 Planar Binding 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/planar-binding .claude/skills/planar-binding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Planar Binding 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 Planar Binding 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 Planar Binding 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.

Planar Binding

Bind an external service, API, or agent to a contract with defined scope, duration, and failure modes.

What This Skill Does

Use this spell when you need to summon a powerful external entity - a third-party API, a cloud service, another agent - and lock it into serving your workflow under explicit terms. In this grimoire, Planar Binding is treated as a hybrid spell with a prototype delivery profile. Canonical reference input: Planar Binding (spell).

When To Use

  • You are integrating an external API or service and need to define the contract before granting access.
  • An external agent or model needs to be constrained to a specific role, scope, and duration within your workflow.
  • You want explicit failure modes, cost limits, and termination conditions before binding a dependency.

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. Name the external entity to bind and the service it will perform.
  3. Define the binding contract: scope of access, duration, rate limits, cost ceiling, and failure behavior.
  4. Establish the termination conditions - when and how the binding ends.
  5. Execute the binding with the user's explicit consent and credentials, then confirm the contract is active.
  6. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • A binding contract specifying scope, duration, cost limits, and failure modes.
  • A confirmation that the external entity is active and operating within bounds.
  • A termination procedure for releasing the binding cleanly.

Pitfalls / Guardrails

  • Call out the glue, permissions, or missing infrastructure before you imply this is fully operational.
  • Never bind to an external service without the user's explicit consent and credentials.
  • Make cost and rate-limit implications explicit before executing any binding.
  • Include termination conditions in every binding - no open-ended commitments.

Verification

  • Check that the result includes every deliverable promised above.
  • Check that confirmed facts, assumptions, and inferences are visibly separated.
  • Check which parts are concrete actions versus framing, so the user can tell what is real now.
  • Check that any missing glue code, permissions, or future work is labeled before the skill is treated as ready.

Example Invocation

text
/planar-binding integrate this external service with an explicit contract covering scope, cost, duration, and termination

Frequently asked questions

What does the Planar Binding AI skill do?

Use this spell when you need to summon a powerful external entity - a third-party API, a cloud service, another agent - and lock it into serving your workflow under explicit terms.

Why use Planar Binding on TypingMind?

Because you install it once and use it with any model. Planar Binding 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 Planar Binding 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/planar-binding. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Planar Binding?

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 Planar Binding?

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

Is the Planar Binding 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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