omero-integration
Helps your agent inspect and automate microscopy data workflows with OMERO. It's useful for managing and analyzing large amounts of scientific images.
What it does
This tool helps manage and automate tasks with microscopy data stored in OMERO. It allows you to inspect, export, or import data, as well as manage metadata and annotations.
When to use it
- ✓When you need to list all data for a specific project in OMERO.
- ✓To export image metadata or annotations in an organized way.
- ✓When planning the import or export of large volumes of microscopy data.
Example of what to ask your AI
“List all images in the 'Cancer Research' project smaller than 10GB.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool connects to OMERO using your credentials and provided programming tools. It can then retrieve, organize, and export information about your microscopy data according to your instructions.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add K-Dense-AI/scientific-agent-skills --skill omero-integrationOr download just the file:
curl -L https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/omero-integration/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
OMERO Integration
Use current OME documentation and the smallest explicit data scope. OMERO data may contain unpublished images, identifiers, annotations, original files, and derived measurements.
Verified Baseline
This skill was refreshed on 2026-09-30:
- OMERO.server 5.6.18 (May 2026) is the current documented stable server.
- It was tested by OME with OMERO.py/omero-py 5.22.1 and OMERO.web 5.31.0.
omero-py==5.22.1requires Python 3.10 or newer. The OMERO support matrix supports 3.10 and 3.11, recommends 3.12, and still labels 3.13/3.14 “upcoming.”- OMERO 5.6 uses IcePy 3.6, with 3.6.5 prebuilt client wheels documented for Python versions through 3.12.
Latest client releases: OMERO.py 5.23.0 (2026-07-30) and OMERO.web 5.33.2 are newer than the server history’s tested pairing. The bundled helpers were checked locally with OMERO.py 5.22.1 and 5.23.0, IcePy 3.6.5, and Python 3.12; this did not connect to an OMERO server. Remote snippets in this skill and its references are illustrative, verified against official docs/source, and require adaptation to an authorized server and its object IDs.
The pin above is a reproducible skill snapshot, not a promise that every
OMERO.server release accepts that client. For another server version, consult
its release entry and use the OMERO.py version tested with it. See
references/sources.md.
Operating Contract
- Start with local validation or a dry run. Do not connect until the user has selected the host, group, object type, IDs, and result limit.
- Read credentials only from the named
OMERO_*variables in the frontmatter. Never search parent directories or load.envfiles. - Never place a password or session key in command arguments, source code, output JSON, logs, tracebacks, or chat. A session key is a bearer credential.
- Default to
secure=True. OMERO encrypts login by default, but post-login data and the session ID may otherwise travel unencrypted.secure=Truedoes not by itself guarantee certificate hostname verification. - Bound every list, page, ROI, shape, annotation, table row, pixel plane, and local file scan. Do not turn an object request into a group-wide or cross-group export without explicit approval.
- Treat all writes separately: annotation/link creation, rendering-default saves, image creation, imports, script uploads, table writes, ownership or group changes, and deletion require an exact reviewed target.
- Close
BlitzGateway, table handles, raw stores, thumbnail stores, rendering engines, script clients, and other stateful services infinallyblocks or documented context-manager patterns. - Never connect to a real server merely to “test” examples.
Choose the Interface
- BlitzGateway (
omero-py): primary Python client for object traversal, pixels, annotations, ROIs, rendering, and services. - OMERO CLI: sessions, import scanning/import, OME-TIFF or XML export,
scripts, and administrative plugins. Most client commands are remote; import
also needs the matching server-side Java libraries through
OMERODIR. - OMERO.web
apiandwebgateway: the only OMERO.web apps that official documentation calls stable public APIs. The documented JSON API is version-discovered and has limited object coverage; it is not evidence that every webclient URL is a supported REST endpoint. - OMERO.server scripts: uploaded plugins executed by server infrastructure.
They are different from the bundled local client helpers in
scripts/.
Install a Reproducible Client
Create a Python 3.12 environment:
uv venv --python 3.12 .venv
source .venv/bin/activate
Install the exact IcePy 3.6.5 wheel matching the interpreter, OS, architecture, and wheel tags, then OMERO.py:
# Download the matching 3.6.5 wheel from the official OMERO-linked matrix.
uv pip install "/absolute/path/to/zeroc_ice-3.6.5-<matching-tags>.whl"
uv pip install "omero-py==5.22.1"
Do not substitute Ice 3.7: the OMERO 5.6 support matrix marks Ice 3.6 as recommended and 3.7 as unsupported. A plain install may attempt to compile IcePy from source; prefer a reviewed matching wheel. The upstream package is GPL-2.0-or-later; this skill’s own files are MIT.
For import/admin commands only, OMERODIR must point to a compatible extracted
OMERO.server directory. A normal remote BlitzGateway client does not require
…
FAQ
What is OMERO?
OMERO is a system for managing and visualizing scientific microscopy image data.
Do I need to install anything on my computer?
Yes, you might need to install specific Python libraries, like 'omero-py', for the tool to work correctly. Detailed instructions are in the documentation.
How does the tool handle sensitive data?
The tool is configured to avoid exposing passwords or session keys in commands or files. Credentials should be provided securely through environment variables.
Details
Original description by the author
Inspects and automates microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use this skill for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.
Popularity
- GitHub stars
- 51k
- Ranking position
- #1917
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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