omero-integration
Inspects and automates microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and…
Skill by K-Dense-AI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/k-dense-ai-omero-integration
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: backend, data, writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/omero-integration
What's inside
- Skill name
omero-integration- Description
- 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.
- License
- MIT
- Compatibility
- Requires network access to a user-selected OMERO.server for remote operations. The server-tested snapshot uses OMERO.py 5.22.1 with ZeroC IcePy 3.6.5; OMERO supports Python 3.10-3.12 (3.12 recommended) while 3.13-3.14 remain upcoming in its support matrix. Bundled local planners require Python 3.10+ and read only named OMERO_* variables; they never load .env files.
- Metadata
- version: 1.6 · skill-author: K-Dense Inc. · last-reviewed: 2026-09-30
- Instructions
- 218 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (15)
- SKILL.md
- advanced.md · references/
- connection.md · references/
- data_access.md · references/
- image_processing.md · references/
- metadata.md · references/
- rois.md · references/
- scripts.md · references/
- sources.md · references/
- tables.md · references/
- export_image_metadata.py · scripts/
- inventory.py · scripts/
- omero_common.py · scripts/
- plan_transfer.py · scripts/
- validate_config.py · scripts/
SKILL.md (first lines)
# 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==5.22.1` requires 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`](references/sources.md). ## Operating Contract 1. 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. 2. Read credentials only from the named `OMERO_*` variables in the frontmatter. Never search parent directories or load `.env` files. 3. 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. 4. Default to `secure=True`. OMERO encrypts login by default, but post-login data and the session ID may otherwise travel unencrypted. `secure=True` does not by itself guarantee certificate hostname verification. 5. 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. 6. 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. 7. Close `BlitzGateway`, table handles, raw stores, thumbnail stores, rendering engines, script clients, and other stateful services in `finally` blocks or documented context-manager patterns. 8. 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 `api` and `webgateway`**: 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: ```bash 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: ```bash # 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`](references/connection.md) before installation or authentication work. ## Credentials and Connection Set named variables in the calling environment or secret manager. Do not put the password on an `omero` CLI command: ```bash 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. ``` The following password-authenticated read pattern uses the session's current group. Before adapting it for a requested group, check that group against the session context and set that explicit group as described in [`references/connection.md`](references/connection.md). An empty result in the current group does not prove that an object is absent from other groups. See [OME's group-context documentation](https://omero.readthedocs.io/en/stable/developers/Python.html). ```python import os from omero.gateway import BlitzGateway
From K-Dense-AI/scientific-agent-skills, MIT.
More from K-Dense-AI/scientific-agent-skills
- 0.699score
13c-metabolic-flux
K-Dense-AI
Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation…
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
adaptyv
K-Dense-AI
Uses the Adaptyv Bio Foundry API and Python SDK to design protein characterization experiments, estimate costs, submit sequences, monitor laboratory progress…
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
exploratory-data-analysis
K-Dense-AI
Performs bounded, local exploratory analysis of explicitly supported scientific files.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
openpiv
K-Dense-AI
Performs Particle Image Velocimetry (PIV) analysis with OpenPIV.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
citation-management
K-Dense-AI
Comprehensive citation management for academic research.
SkillAFreshness: A★ 54.4KClaude Code - 0.699score
parallel-web
K-Dense-AI
Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
scientific-schematics
K-Dense-AI
Generates scientific diagram drafts using Nano Banana 2 AI with smart iterative refinement.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
glycoengineering
K-Dense-AI
Analyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and…
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
venue-templates
K-Dense-AI
Prepares journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
uncertainty-and-units
K-Dense-AI
Tracks physical units and propagates measurement uncertainty in scientific calculations using pint and uncertainties.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
ginkgo-cloud-lab
K-Dense-AI
Guides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio).
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
alphagenome
K-Dense-AI
Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and…
SkillAFreshness: A★ 54.4KClaude Code +9
Signals
- Stars
- 54,411
- Forks
- 4,797
- Open issues
- 8
- Last commit (this folder)
- Oct 1, 2026 (27 days ago)
- Last release
- Oct 1, 2026 (27 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.6
- License
- MIT
- Website
- arxiv.org/abs/2609.00065
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from K-Dense-AI
- 0.699score
exploratory-data-analysis
K-Dense-AI
Performs bounded, local exploratory analysis of explicitly supported scientific files.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
citation-management
K-Dense-AI
Comprehensive citation management for academic research.
SkillAFreshness: A★ 54.4KClaude Code - 0.699score
glycoengineering
K-Dense-AI
Analyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and…
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
openpiv
K-Dense-AI
Performs Particle Image Velocimetry (PIV) analysis with OpenPIV.
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
ginkgo-cloud-lab
K-Dense-AI
Guides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio).
SkillAFreshness: A★ 54.4KClaude Code +9 - 0.699score
parallel-web
K-Dense-AI
Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring.
SkillAFreshness: A★ 54.4KClaude Code +9
Cite this page
omero-integration skill. Agent Mart. https://agentmart.dev/skills/k-dense-ai-omero-integration (last updated 2026-10-24)