Spatial Atera

Community

QING1105

spatial-atera

Atera platform branch of the spatial transcriptomics workflow — load and validate Atera cell-level output (AnnData + Zarr segmentation) for downstream analysis. Use when the user's data is from the 10x Atera In Situ instrument (whole-transcriptome in situ, 2026). Produces a cell-level h5ad, then stops for review.

Overview

Publisher	QING1105
Repository	`ezST`
Skill name	`spatial-atera`
Stars	101
Forks	1
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 QING1105 on GitHub. Read the source before you install it.

Installation

Install the Spatial Atera 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.
https://github.com/QING1105/ezST/tree/master/plugins/spatial-transcriptomics/skills/spatial-atera
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/QING1105/ezST/tree/master/plugins/spatial-transcriptomics/skills/spatial-atera

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/QING1105/ezST.git /tmp/ezST
mkdir -p .claude/skills
cp -r /tmp/ezST/plugins/spatial-transcriptomics/skills/spatial-atera .claude/skills/spatial-atera

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

Use it in TypingMind

Enable Spatial Atera 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 Spatial Atera 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 Spatial Atera 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.

Atera Branch — Cell-Level Loading & Validation

Goal

Load Atera data as a cell-level matrix. Atera is 10x's next-generation in situ platform (launched 2026) that outputs whole-transcriptome spatial data at single-cell sensitivity with platform-provided segmentation — no re-segmentation and no deconvolution needed.

Prerequisites

Atera output (official formats):
- Cell-feature matrix: AnnData (cells × genes)
- Transcripts and segmentation boundaries: Zarr
- Tissue images: OME-TIFF
Python: scanpy, zarr (if reading segmentation)

Steps

Load cell matrix
- AnnData: ad.read_h5ad(...) — cells × genes.
- If only Zarr + transcripts provided, aggregate transcripts to cells using segmentation boundaries first (rare; usually AnnData is provided).
Validate platform segmentation
- Confirm cell boundaries exist (from Atera pipeline).
- Do NOT re-segment unless the user explicitly asks.
QC & sanity check
- Report: number of cells, median genes/cell, median counts/cell.
- Flag: very low counts, very high counts, abnormal spatial distribution.

Outputs

results/01_loading/<sample>_cells.h5ad — cell-level AnnData
results/01_loading/QC_plots.png — QC violin plots

Biological Interpretation

Report total cells and QC stats.
Note tissue type and expected cell composition.
Atera is whole-transcriptome — check gene coverage (18,000+ expected).

Stop for Review

Present interpretation using the template from the parent spatial-transcriptomics skill. Wait for 通过 / 调整 / 跳过 before proceeding to shared downstream.

Notes

Atera segmentation comes with the platform — treat as ground truth unless the user asks otherwise.
Deconvolution is NOT needed for Atera — cells are already resolved.
Atera is new (2026); formats may evolve — check the instrument's current output spec if files differ from the above.

Frequently asked questions

What does the Spatial Atera AI skill do?

Why use Spatial Atera on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QING1105/ezST/tree/master/plugins/spatial-transcriptomics/skills/spatial-atera. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Spatial Atera?

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 Spatial Atera?

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

Is the Spatial Atera AI skill free?

Yes. It is published on GitHub by QING1105 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

Atera Branch — Cell-Level Loading & Validation

Goal

Prerequisites

Steps

Outputs

Biological Interpretation

Stop for Review

Notes

Frequently asked questions

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