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upload

Share a film to the lemo-wake gallery. 把动图投稿到作品墙。

Overview

Publisherlemomo-ai
Repositorylemo-wake
Skill nameupload
Stars
112
Forks
18
Bundled files
2
LicenseCC-BY-NC-4.0
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.

  • 2 bundled files

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

  • Open source

    Published by lemomo-ai on GitHub. Read the source before you install it.

Installation

Install the Upload 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/lemomo-ai/lemo-wake/tree/main/skills/upload
  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/lemomo-ai/lemo-wake.git /tmp/lemo-wake
mkdir -p .claude/skills
cp -r /tmp/lemo-wake/skills/upload .claude/skills/upload
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Upload 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 Upload 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 Upload 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.

Share a film to the lemo-wake gallery

The gallery is the gallery branch of https://github.com/lemomo-ai/lemo-wake. A submission is one folder, films/<id>/, added through a pull request from the user's own GitHub account. A maintainer reviews it; after the merge it appears on the gallery page automatically.

Talk to the user in their language (Chinese or English; follow the user). These docs are in English only for you.

Nothing leaves the machine until the user has seen exactly what will be published and said yes. Never upload on your own initiative, never upload someone else's film, never skip the confirmation.

$U = this skill's folder: ${CLAUDE_SKILL_DIR} (if that still reads literally as ${...}, it is the folder that contains this SKILL.md). Never take a path from the shell variables CLAUDE_SKILL_DIR / CLAUDE_PLUGIN_DATA.

1. Find the film

The argument, if any, is a film file or a lemo-wake project folder. Otherwise look in the current working directory for the most recent project (<slug>-alive/) and its <slug>.webp. The gallery takes an animated WebP or GIF (prefer the WebP: original size, best quality). If it is unclear which film is meant, ask.

2. Collect the details (one message, in the user's language)

Ask in a single message, with your suggestion filled in for each so the user can just say "OK":

  • Title - short, up to 80 characters; suggest " · ", e.g. "炉边三花猫 · 炉火醒来". The gallery is bilingual, so also suggest the other language's version (Chinese title -> English, English title -> Chinese), e.g. "Calico by the fire · The fire wakes up". Pass the Chinese one as --title and the English one as --title-en.
  • Category - the scene the picture comes from (not its style): life (everyday photos: food, pets, places, travel), people (portraits, couples, family, milestones), poster (posters, ads, campaigns), brand (logos, brand marks), data (charts, reports), social (Xiaohongshu covers, chat screenshots, social posts), sticker (stickers, greeting images), art (paintings, drawings, picture books). Suggest one.
  • Credit - the name shown under the film. Default: their GitHub username.
  • Original image (optional) - show the source next to the film? It is saved as a JPEG with all metadata (location, camera, date) removed, long side at most 1600 px.
  • Notes (optional) - a few lines about how it was made (the director notes can be a starting point). Published as written; no personal details.
  • License and consent - the film (and the original, if included) is published under CC BY-NC 4.0 (others may share and adapt it with credit, not for commercial use), and the lemo-wake project may show it in its README, gallery and posts about the project. They must have the rights to the image: their own photo or artwork, or one they are allowed to share. Photos of other people need those people's OK.

Point out anything that looks private: faces of people other than the user, children, names, phone numbers, addresses, chat contents, licence plates, documents. Suggest leaving such a film out rather than publishing it.

3. Prepare and show what will be published

bash
uv run $U/scripts/prepare.py <film> --title "..." --title-en "..." --category <cat> --author "<credit>" \
    --author-url https://github.com/<login> [--source <original image>] [--notes <notes.md>] \
    --out <workdir>/lemo-wake-upload --agree

--agree records the user's yes to the license and consent from step 2 - pass it only if they said yes. <login> is their GitHub username (gh api user --jq .login; if gh is not logged in yet, see step 4). The folder id is <date>-<login>-<slug>. It checks the film (animated WebP/GIF, at most 8 MB; a bigger WebP is re-compressed, never below 12 fps / q50 - if it still does not fit it stops and says so), makes preview.webp (long side 360, at most 1 MB) for the gallery grid, writes the original without metadata, writes meta.json, and prints a JSON summary. It warns about text in the notes that looks like an email, phone number or local file path - fix those before going on. Use a work folder under the current working directory (not the user's image folder).

Show the user the summary: the folder films/<id>/ with every file and its size, the full meta.json, the notes text if any, and where it goes (a pull request to lemomo-ai/lemo-wake, branch gallery, from their GitHub account <login>; the pull request and files are public once the repository is public). Ask for a clear yes.

4. Submit (only after the yes)

Needs the GitHub CLI (gh) logged in. If gh auth status fails, ask the user to run ! gh auth login themselves - never handle their password or token.

bash
python3 $U/scripts/submit.py <workdir>/lemo-wake-upload/films/<id>

It always submits to the official repository lemomo-ai/lemo-wake - also if this plugin came from a fork or a copy; never point it elsewhere. It forks the repository if the user cannot push to it, puts the folder on a new branch submit/<id> based on the current gallery, commits under the user's GitHub no-reply address (their real email is never used), pushes, opens the pull request and prints its URL. Exit 20 = gh missing or not logged in; 21 = the id already exists in the gallery (choose another title or slug); 22 = a git or GitHub step failed (the message says which; fix it, then run again - it is safe to repeat).

Tell the user the pull request URL, that an automatic check runs first and a maintainer reviews it, and that it shows up on https://lemomo-ai.github.io/lemo-wake/ after the merge. Then delete the work folder.


lemo-wake 1.1.0 · official repository: https://github.com/lemomo-ai/lemo-wake

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 Upload AI skill do?

Share a film to the lemo-wake gallery. 把动图投稿到作品墙。

Why use Upload on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lemomo-ai/lemo-wake/tree/main/skills/upload. 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 Upload?

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 Upload?

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

Is the Upload AI skill free?

Yes. It is published on GitHub by lemomo-ai under the CC-BY-NC-4.0 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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