accelerators
Skill9 starsChanged 22 days agoLicence not identifiedView on GitHub
HLS solution accelerator steerage for Databricks (DICOM imaging, protein and single-cell models, HL7v2 messages). Routes a task to an existing databricks-industry-solutions accelerator and gives the precise next step - Pixels (DICOM medical imaging, OHIF viewer, DICOMweb, MONAI segmentation), Genesis Workbench (protein folding and design, docking, ADMET, single-cell foundation models, variant calling, NVIDIA BioNeMo) and funke-hl7v2 (HL7v2 message parsing of ADT, ORU, ORM, SIU and VXU files into Delta). Consult before building an imaging pipeline, biology model stack or HL7 parser from scratch. For notebook single-cell analysis use sc-rnaseq; for de-identifying tables use phi-deidentifier; for measures from parsed claims or EHR data use semantic-builder.
- Installs packages
1 other project uses a version of this.
Adopted by
Most recently taken up by
- databricks-industry-solutions/hls-skillsword for word, first seen Oct 15, 2026
Other versions1 project uses a version of this.
Word for word · 1
- databricks-industry-solutions/hls-skills★ 6100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- bulk-rnaseqSkill
- cohort-builderSkill
- html-reportSkill
- open-weight-modelsSkill
- pathway-enrichment-analysisSkill
- phi-deidentifierSkill
- presentation-builderSkill
- report-builderSkill
- rwe-cohortstudySkill
- scientific-figuresSkill
- sc-rnaseqSkill
- semantic-builderSkill
- skill-evalSkill
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 10 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

