Securely inspect and automate microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill 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may contain unpublished images, identifiers, annotations, original files, and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.
This skill was refreshed on 2026-07-23:
OMERO.web 5.31.0.
omero-py==5.22.1 requires Python 3.10 or newer. The OMERO support matrixsupports 3.10 and 3.11, recommends 3.12, and still labels 3.13/3.14
“upcoming.”
for Python versions through 3.12.
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.
selected the host, group, object type, IDs, and result limit.
OMERO_* variables in the frontmatter.Never search parent directories or load .env files.
output JSON, logs, tracebacks, or chat. A session key is a bearer credential.
secure=True. OMERO encrypts login by default, but post-logindata and the session ID may otherwise travel unencrypted. secure=True does
not by itself guarantee certificate hostname verification.
local file scan. Do not turn an object request into a group-wide or
cross-group export without explicit approval.
saves, image creation, imports, script uploads, table writes, ownership or
group changes, and deletion require an exact reviewed target.
BlitzGateway, table handles, raw stores, thumbnail stores, renderingengines, script clients, and other stateful services in finally blocks or
documented context-manager patterns.
omero-py): primary Python client for object traversal,pixels, annotations, ROIs, rendering, and services.
scripts, and administrative plugins. Most client commands are remote; import
also needs the matching server-side Java libraries through OMERODIR.
api and webgateway: the only OMERO.web apps that officialdocumentation 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.
They are different from the bundled local client helpers in scripts/.
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
that server tree. Read references/connection.md
before installation or authentication work.
Set named variables in the calling environment or secret manager. Do not put
the password on an omero CLI command:
export OMERO_HOST="omero.example.org"
export OMERO_PORT="4064"
export OMERO_USER="researcher"
export OMERO_SECURE="true"
# Supply OMERO_PASSWORD through the environment/secret manager, or use
# OMERO_SESSION_KEY as an alternative. Do not echo either value.
A password-authenticated, exception-safe read pattern is:
import os
from omero.gateway import BlitzGateway
conn = None
try:
conn = BlitzGateway(
os.environ["OMERO_USER"],
os.environ["OMERO_PASSWORD"],
host=os.environ["OMERO_HOST"],
port=int(os.environ.get("OMERO_PORT", "4064")),
secure=True,
)
if not conn.connect():
raise RuntimeError("OMERO connection failed")
images = conn.getObjects(
"Image",
opts={"limit": 25, "offset": 0, "order_by": "obj.id"},
)
for image in images:
print(image.getId()) # Do not print names unless requested.
finally:
if conn is not None:
conn.close()
For existing-session and CLI prompt patterns, certificate verification,
group context, and cleanup details, read
references/connection.md.
All helpers use argparse; --help works without OMERO installed. Remote
helpers are dry-run by default and require --execute.
python -B scripts/validate_config.py --help
python -B scripts/inventory.py --help
python -B scripts/export_image_metadata.py --help
python -B scripts/plan_transfer.py --help
validate_config.py: validates only named endpoint/auth variables locally;optional DNS resolution still does not contact OMERO.
inventory.py: bounded, read-only object inventory with paged JSON output.export_image_metadata.py: explicit-image annotation/ROI JSON export withredaction defaults and per-category limits; it never downloads file bytes or
pixels.
plan_transfer.py: local-only import scan or per-image export plan; it neverinvokes OMERO and never emits credential flags.
Read references/scripts.md before using them.
references/connection.md
references/data_access.md
references/metadata.md
references/image_processing.md
references/rois.md
references/tables.md
references/scripts.md
references/advanced.md
pixels, or original files may leave the server.
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.
Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development.
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals.
Creates comprehensive API changelogs documenting breaking changes, deprecations, and migration strategies for API consumers. Use when managing API versions, communicating breaking changes, or creating upgrade guides.
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.
Analyze fundamental data primitives, type systems, and state management patterns in a codebase. Use when (1) evaluating typing strategies (Pydantic vs TypedDict vs loose dicts), (2) assessing immutability and mutation patterns, (3) understanding serialization approaches, (4) documenting state shape and lifecycle, or (5) comparing data modeling approaches across frameworks.
Write minimal, evergreen code comments that explain complex logic without documenting obvious behavior or temporary changes. Use this skill when adding comments to PHP files, TypeScript/JavaScript files, or any code files, when documenting complex algorithms or business logic, when adding PHPDoc blocks or JSDoc comments, when writing self-documenting code with clear naming, or when reviewing existing comments for relevance and necessity. Focus on keeping code self-explanatory through clear structure and naming rather than relying heavily on comments.
Take k-dense-ai/omero-integration from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip, uv.
Without those the skill loads but fails at the first command.