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Neta Space

Organization
netaart
neta-space

Neta API space and world‑view browsing skill — browse worldbuilding, sub‑spaces, and playable content by space/hashtag. Use this skill when the user talks about worlds/spaces/universes/scenes, or wants to browse characters and gameplay based on space and activity structure. Do not use it for concrete media creation (handled by neta-creative).

Overview

Publishernetaart
Repositoryneta-skills
Skill nameneta-space
Stars
662
Forks
9
Bundled files
Instructions only
LicenseMIT
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 netaart on GitHub. Read the source before you install it.

Installation

Install the Neta Space 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/netaart/neta-skills/tree/main/skills/neta-space
  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/netaart/neta-skills.git /tmp/neta-skills
mkdir -p .claude/skills
cp -r /tmp/neta-skills/skills/neta-space .claude/skills/neta-space
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Neta Space 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 Neta Space 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 Neta Space 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.

Neta Space Skill

Used to interact with the Neta API to browse space‑level content.

Instructions

  1. For tasks like “what spaces/activities exist?” or “what is the structure and lore of a given space?”, organize queries as follows:
  2. Recommended workflow:
    • List all spaces.
    • For a chosen space, fetch its details (lore, activities, metrics).
    • Fetch sub‑spaces and their official/user collections.
    • If needed, fetch characters and playable content inside the space.
  3. If the user says “now generate an image/video/song for this space”, first collect the relevant space/collection info here, then switch to neta-creative for creation.

Space concepts

A space is a themed collection of gameplay experiences — a scene where content is produced and consumed.

Terminology

  • Hashtag: tag/space. Used to build worlds and organize communities.
  • Collection: browseable/remixable/editable content; can also refer to events, scenes, or gameplay within a space.
  • Activity: a special hashtag driven by official events.

Space structure

  • Space
    • Lore/worldbuilding (lore)
    • Characters
    • Collections
    • Sub‑spaces
      • official_collections
      • collections

Workflow

  • List all spaces: list_spaces
  • Get space details: get_hashtag_info
  • Get sub‑spaces: list_space_topics
  • Get content in a space or sub‑space: get_hashtag_collections, get_hashtag_characters

List available spaces

bash
npx -y @talesofai/neta-skills@latest list_spaces

Response fields

  • space_uuid: UUID of the space
  • name: space name
  • main_hashtag_name: main hashtag
  • topic_count: number of sub‑spaces (topics)

Get detailed space info

bash
npx -y @talesofai/neta-skills@latest get_hashtag_info --hashtag "space_tag_name"

Response includes:

  • Tag lore (worldbuilding)
  • Activity details
  • Popularity metrics
  • Subscription count

Get sub‑spaces

bash
npx -y @talesofai/neta-skills@latest list_space_topics --space_uuid "space UUID"

Response includes:

  • primary_topic: main topic
  • topics: list of sub‑spaces
    • official_collections

Get characters in a space

bash
npx -y @talesofai/neta-skills@latest get_hashtag_characters --hashtag "space_tag_name" --sort_by "hot"

Get scenes/events/content in a space

bash
npx -y @talesofai/neta-skills@latest get_hashtag_collections --hashtag "tag_name"

Get detailed info for a specific gameplay

bash
npx -y @talesofai/neta-skills@latest read_collection --uuid "official_collections in topic | collections in hashtag"

Content creation

For content creation within a space, use the dedicated creative skill:

bash
npx skills add talesofai/neta-skills/skills/neta-creative

Frequently asked questions

What does the Neta Space AI skill do?

Neta API space and world‑view browsing skill — browse worldbuilding, sub‑spaces, and playable content by space/hashtag. Use this skill when the user talks about worlds/spaces/universes/scenes, or wants to browse characters and gameplay based on space and activity structure. Do not use it for concrete media creation (handled by neta-creative).

Why use Neta Space on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/netaart/neta-skills/tree/main/skills/neta-space. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Neta Space?

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 Neta Space?

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

Is the Neta Space AI skill free?

Yes. It is published on GitHub by netaart 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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