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Search Assets

OrganizationPopular
AgibotTech
search-assets

Search the Genie Sim asset library by natural-language keyword via the generator's `search_assets` MCP tool (RAG over ASSETS_INDEX), and look up asset interaction metadata via `get_interactions`. Trigger: When the user asks to "搜索资产", "find an asset", "查一下有没有...的模型", "search the asset library", "what assets match <description>", "look up asset_id X", or wants to know which assets exist before generating a scene.

Overview

PublisherAgibotTech
Repositorygenie_sim
Skill namesearch-assets
Stars
1.4K
Forks
119
Bundled files
Instructions only
LicenseMPL-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Search Assets 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.
  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/AgibotTech/genie_sim.git /tmp/genie_sim
mkdir -p .claude/skills
cp -r /tmp/genie_sim/source/geniesim_generator/skills/search-assets .claude/skills/search-assets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Search Assets 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 Search Assets 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 Search Assets 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.

When to Use

  • User wants to discover assets that match a description / keyword.
  • User has an exact asset_id and wants its record.
  • User wants the interaction structure (active/passive affordances) of one or more assets before placing them in a scene.

Prerequisite: the generator MCP stack is running (:8765). If it isn't, run the deploy-generator skill first.

Do not use for:

  • Bringing the server up → deploy-generator skill.
  • Producing a full scene program → generate-scene skill.

The tools (served on http://localhost:8765)

RouteToolPurpose
/assets-agentsearch_assetsRAG keyword search over the asset library
/assets-agentsearch_asset_by_asset_idExact lookup by asset_id
/assets-info-agentget_interactionsActive/passive interaction metadata for given asset ids

search_assets arguments

ArgMeaning
keyword (required)What to search for; the more detailed, the better the match.
topkNumber of results (default 10).
exclude_regexDrop assets whose asset_id matches (e.g. omni6D.*, `omni6D.*
include_regexKeep only assets whose asset_id matches.
scene_descriptionOne-line scene summary to bias retrieval (e.g. "bottles of soda on a table").

Each result row carries asset_id, semantic_name, full_description, etc.

get_interactions arguments

ArgMeaning
assets_ids (required)List of asset ids to introspect.
just_structureTrue (default) collapses leaf values to placeholders — use it to see the shape of the affordances without the full payload.

How to use

Normal path: drive these through the Open WebUI geniesimassets agent — import config/geniesimassets.json, then chat ("find me a few ceramic mugs, exclude omni6D"). The agent calls search_assets and shows the rows.

Programmatic / smoke-test path (an MCP client, or a quick HTTP call against the mcpo gateway):

bash
# search by keyword
curl -s http://localhost:8765/assets-agent/search_assets \
  -H 'Content-Type: application/json' \
  -d '{"keyword": "ceramic coffee mug with handle", "topk": 5,
       "exclude_regex": "omni6D.*", "scene_description": "mugs on a kitchen table"}'

# exact id lookup
curl -s http://localhost:8765/assets-agent/search_asset_by_asset_id \
  -H 'Content-Type: application/json' -d '{"asset_id": "<ASSET_ID>"}'

# interaction structure
curl -s http://localhost:8765/assets-info-agent/get_interactions \
  -H 'Content-Type: application/json' \
  -d '{"assets_ids": ["<ID_A>", "<ID_B>"], "just_structure": true}'

(The mcpo gateway publishes each MCP tool as an HTTP endpoint; exact request schema is visible at http://localhost:8765/docs.)

Tips

  • Be specific in keyword. "red ceramic mug with a handle" beats "cup".
  • Use exclude_regex / include_regex to constrain to (or away from) an asset family by id prefix — e.g. include_regex: "objaverse.*".
  • scene_description is a soft hint, not a filter; it nudges ranking.
  • The backend (text API vs. VL model) is whatever profile deploy-generator brought up; the tool surface is identical either way, but VL search also understands asset images.

Resources

Frequently asked questions

What does the Search Assets AI skill do?

Search the Genie Sim asset library by natural-language keyword via the generator's `search_assets` MCP tool (RAG over ASSETS_INDEX), and look up asset interaction metadata via `get_interactions`. Trigger: When the user asks to "搜索资产", "find an asset", "查一下有没有...的模型", "search the asset library", "what assets match <description>", "look up asset_id X", or wants to know which assets exist before generating a scene.

Why use Search Assets on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assets. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Search Assets?

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 Search Assets?

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

Is the Search Assets AI skill free?

Yes. It is published on GitHub by AgibotTech under the MPL-2.0 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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