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Ipollowork Template Generation

CommunityPopular
Devin-AXIS
ipollowork-template-generation

Create or update reusable iPolloWork templates through conversation for Design, Slides/native editable PPT, and HyperFrames Video. Use when planning, generating, repairing, validating, or saving a template package, manifest, reusable variables, cover, slide/PPT markers, video composition, or design-system token integration.

Overview

PublisherDevin-AXIS
RepositoryiPolloWork
Skill nameipollowork-template-generation
Stars
6.9K
Forks
1.1K
Bundled files
3
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

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

  • Open source

    Published by Devin-AXIS on GitHub. Read the source before you install it.

Installation

Install the Ipollowork Template Generation 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/Devin-AXIS/iPolloWork/tree/main/.codex/skills/ipollowork-template-generation
  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/Devin-AXIS/iPolloWork.git /tmp/iPolloWork
mkdir -p .claude/skills
cp -r /tmp/iPolloWork/.codex/skills/ipollowork-template-generation .claude/skills/ipollowork-template-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ipollowork Template Generation 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 Ipollowork Template Generation 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 Ipollowork Template Generation 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.

iPolloWork Template Generation

Create a reusable template, not a one-off artifact. The product-selected category and server validator are authoritative.

Route The Work

  1. Read references/template-generation-contract.md.
  2. Read exactly one surface reference:
  3. When converting an existing project, preserve its category, surface, structure, and source files. Saving creates a new personal template; it never updates the source template.

Conversational Authoring

Guide the user in this order: purpose and audience, content structure, reusable variables, visual/design system, surface-specific constraints, generation and validation.

  • Ask one consequential question at a time.
  • Do not ask for information the user already supplied.
  • Once the project is sufficiently specified, edit the project and show the result instead of extending the interview.
  • Keep the package manifest, variable declarations, cover, and validation checklist current after every structural change.
  • Treat the selected design system as optional context. Load only its manifest, usage guide, and design rules; never load every installed system.
  • Use local assets or stable user-provided asset URLs. Do not invent dependencies.

Package Loop

  1. Maintain manifest.json, the surface entry, design-tokens.css, local assets when needed, and a 960 x 540 cover.
  2. Put reusable content in typed manifest/HyperFrames variables and reusable visual choices in --ipw-* tokens. Do not mix content variables with design tokens.
  3. Preserve structural invariants while applying themes: DOM meaning, responsive layout, slide geometry/PPT markers, or video timing/tracks/compositions.
  4. Run the product validator before saving:
powershell
node .codex/skills/ipollowork-template-generation/scripts/audit-template.mjs <template-directory>
  1. Repair every error. Warnings must be resolved or deliberately accepted.
  2. Re-instantiate the staged package and verify that the correct right-side editor opens, variables remain editable, theme switching preserves structure, and the source project is unchanged.

Hard Boundary

This Skill is guidance for repository agents. Product runtime behavior does not depend on Skill discovery. Authoring System Context and the shared server validator provide the same category rules to every user.

Completion

Report the selected surface/category, files changed, reusable variables, design-system coverage, preserved surface invariants, validator result, re-instantiation result, and any remaining warning.

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 Ipollowork Template Generation AI skill do?

Create or update reusable iPolloWork templates through conversation for Design, Slides/native editable PPT, and HyperFrames Video. Use when planning, generating, repairing, validating, or saving a template package, manifest, reusable variables, cover, slide/PPT markers, video composition, or design-system token integration.

Why use Ipollowork Template Generation on TypingMind?

Because you install it once and use it with any model. Ipollowork Template Generation 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 Ipollowork Template Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Devin-AXIS/iPolloWork/tree/main/.codex/skills/ipollowork-template-generation. 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 Ipollowork Template Generation?

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 Ipollowork Template Generation?

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

Is the Ipollowork Template Generation AI skill free?

It is published on GitHub by Devin-AXIS. Check the repository for licensing terms. 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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