| name | omero-integration |
| description | Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows. |
| source_skill_id | k-dense-ai-scientific-agent-skills-scientific-skills-omero-integration-skill-md |
| category | OMERO, Django, Docker & lab infrastructure |
| source_mirror | ../../../../../skills/by-category/omero-django-docker-lab-infrastructure/latest-release-community/omero-integration/SKILL.md |
| benchmark_status | artifact_gated |
omero-integration
Use this skill when the task matches the description above or the source path clearly applies. Start with this concise entrypoint; open ../../../../../skills/by-category/omero-django-docker-lab-infrastructure/latest-release-community/omero-integration/SKILL.md only when implementation details, commands, assets, or references are needed.
Workflow
- Confirm the task matches this skill's scope.
- Read the local source mirror if more detail is required.
- Follow repository-level
AGENTS.md; use one AI session only.
- Keep claims tied to files, commands, citations, or benchmark artifacts.
Verification
- Source mirror:
../../../../../skills/by-category/omero-django-docker-lab-infrastructure/latest-release-community/omero-integration/SKILL.md
- Source commit:
eb20fb0dcb0b1dadaa3db2737188f0755bbc4770
- Static benchmark results: see
docs/benchmark-results.md
- Runtime artifacts recorded by this entrypoint:
0
- Assigned scenarios:
skill-proof-k-dense-ai-scientific-agent-skills-scientific-skills-omero-integration-skill-md, omero-django-docker-and-lab-infrastructure-local-omero-compose-workflows, omero-django-docker-and-lab-infrastructure-ome-ngff-samples, omero-django-docker-and-lab-infrastructure-opentelemetry-demo
Do not claim this skill passed a runtime benchmark until a validated artifact exists.