Using Prepared Uploads

Organization

rejot-dev

using-prepared-uploads

Manage prepared upload lifecycles. Use when code must collect, read, commit, or discard a FileUpload result.

Overview

Publisher	rejot-dev
Repository	`fragno`
Skill name	`using-prepared-uploads`
Stars	62
Forks	6
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 rejot-dev on GitHub. Read the source before you install it.

Installation

Install the Using Prepared Uploads AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/rejot-dev/fragno/tree/main/apps/backoffice/content/static/skills/using-prepared-uploads

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/rejot-dev/fragno.git /tmp/fragno
mkdir -p .claude/skills
cp -r /tmp/fragno/apps/backoffice/content/static/skills/using-prepared-uploads .claude/skills/using-prepared-uploads

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Prepared Uploads 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 Using Prepared Uploads 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 Using Prepared Uploads 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.

Using Prepared Uploads

Treat every prepared upload as a lifecycle: collect one reference, consume it in the matching scope, then commit or discard it.

Collect

When composing generated Backoffice UI:

Read /static/skills/generating-backoffice-uis/SKILL.md and its component catalog.
Set FileUpload.scope to { kind: "current" } when the upload belongs to the workflow's current Backoffice context. The renderer resolves it to the authenticated org, project, or user scope.
Initialize the bound value to null and bind FileUpload.value with { "$bindState": "/response/attachment" }.
Submit the response through one WorkflowEventButton.

State receives one serializable prepared-upload reference. It contains no browser File, bytes, base64, URL, or generated storage policy.

Consume

Read /static/codemode/providers/upload.d.ts before authoring lifecycle operations. Use the submitted prepared-upload reference as the file input:

upload.readPrepared({ file, encoding: "utf8" }) returns textual content as text.
upload.readPrepared({ file, encoding: "bytes" }) returns binary content as bytes; pass those bytes directly to binary consumers.
Use encoding: "base64" only when the consumer requires base64 text; the result is returned as base64, not raw bytes.
upload.commitPrepared({ file }) makes the file persistent.
upload.discardPrepared({ file }) deletes a temporary prepared upload.

Use the provider scoped to the reference: the current provider when the upload belongs to the current workflow context, or the matching context.org(...), context.project(...), or context.user(...) provider for an explicitly different scope.

Durable completion

Keep lifecycle provider calls inside step.do. A workflow that reads a temporary upload reaches either commitPrepared or discardPrepared in a later durable step.

Complete when the event payload contains one prepared-upload reference, every upload call uses that exact reference in its matching scope, and the workflow reaches commit or discard.

Frequently asked questions

What does the Using Prepared Uploads AI skill do?

Manage prepared upload lifecycles. Use when code must collect, read, commit, or discard a FileUpload result.

Why use Using Prepared Uploads on TypingMind?

Because you install it once and use it with any model. Using Prepared Uploads 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 Using Prepared Uploads in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rejot-dev/fragno/tree/main/apps/backoffice/content/static/skills/using-prepared-uploads. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Using Prepared Uploads?

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 Using Prepared Uploads?

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

Is the Using Prepared Uploads AI skill free?

Yes. It is published on GitHub by rejot-dev 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Using Prepared Uploads

Collect

Consume

Durable completion

Frequently asked questions

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