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Neta Community

Organization
netaart
neta-community

Neta API community skill — browse interactive feeds, view collection details, like and interact with content, and browse content by tags and characters in a community context. Use this skill when the user wants to “see what people are making”, “scroll the feed”, or “interact with works”. Do not use it for taxonomy/keyword‑level research (handled by neta-suggest) or for generating images/videos/songs (handled by neta-creative).

Overview

Publishernetaart
Repositoryneta-skills
Skill nameneta-community
Stars
662
Forks
9
Bundled files
4
LicenseMIT
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.

  • 4 bundled files

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

  • Open source

    Published by netaart on GitHub. Read the source before you install it.

Installation

Install the Neta Community 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-community
  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-community .claude/skills/neta-community
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Neta Community 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 Community 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 Community 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 Community Skill

Used to interact with the Neta API for community feed browsing, interactions, and tag‑based queries.

Instructions

  1. For tasks like “see what’s in the community”, “scroll the feed”, or “like or interact with works”, use this skill as follows:
  2. Recommended flow:
    • Use the feed command to fetch a list of recommended content.
    • Use the collection‑detail command to inspect a specific work.
    • Perform likes and other interactions on works as needed.
  3. If the user needs systematic research or complex filtering by categories/keywords, switch to neta-suggest.
  4. If the user wants to create new content (images/videos/songs/MVs), switch to neta-creative.

Commands

Collection

Get collection details

bash
npx -y @talesofai/neta-skills@latest read_collection --uuid "collection-uuid"

📖 Detailed guide

Community interactions

bash
npx -y @talesofai/neta-skills@latest like_collection --uuid "target collection UUID"

📖 Detailed guide

Tag queries

Get tag info

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

📖 Detailed guide — research flow and analysis methods.

Get characters under a tag

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

Get collections under a tag

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

Character queries

Search characters

bash
npx -y @talesofai/neta-skills@latest search_character_or_elementum --keywords "keywords" --parent_type "character" --sort_scheme "exact"
``]

📖 [Detailed guide](./references/character-search.md) — search strategies and parameter choices.

**Get character details**

```bash
npx -y @talesofai/neta-skills@latest request_character_or_elementum --name "character_name"

Query by UUID

bash
npx -y @talesofai/neta-skills@latest request_character_or_elementum --uuid "uuid"

Reference docs

ScenarioDoc
💬 Community interactionssocial-interactive.md
🏷️ Tag researchhashtag-research.md
👤 Character queriescharacter-search.md

Usage tips

  1. Browse before interacting: use the feed first to understand the overall content landscape, then interact (like, etc.) with the works that matter.
  2. Leverage tags: combining tag queries with character searches quickly focuses on the most relevant set of works.
  3. Combine with research/creation skills: use neta-suggest for deeper tag/category research, and neta-creative when you want to create derivative works based on community content.

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 Neta Community AI skill do?

Neta API community skill — browse interactive feeds, view collection details, like and interact with content, and browse content by tags and characters in a community context. Use this skill when the user wants to “see what people are making”, “scroll the feed”, or “interact with works”. Do not use it for taxonomy/keyword‑level research (handled by neta-suggest) or for generating images/videos/songs (handled by neta-creative).

Why use Neta Community on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/netaart/neta-skills/tree/main/skills/neta-community. 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 Neta Community?

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 Community?

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

Is the Neta Community 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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