Plugins

7 plugins
curated
Windows Forensics Toolkit
For digital forensics analysts investigating Windows systems using registry artifacts, prefetch, and event logs.
6 skills · plugin
@klotzkette
Produktrecht
Produkthaftung und Produktrecht: Produktsicherheit, GPSR, ProdHaftG, deliktische Produzentenhaftung, Right to Repair, Software-/OTA-Updates, digitale Produktlebenszyklen, Rückruf, Marktüberwachung und Launch-Review.
3 skills · plugin
@brycewang-stanford
FSE Skills
Twelve FSE-specific skills for the ACM Foundations of Software Engineering conference and its PACMSE journal-style publication model, grounded in the FSE 2026/2027 researchr calls, PACMSE journal pages, ACM Digital Library, and dblp.
2 skills · plugin
@brycewang-stanford
IMC Skills
Twelve IMC-specific skills for the ACM Internet Measurement Conference, the SIGCOMM-sponsored empirical measurement flagship, grounded in the IMC 2026 call for papers, submission instructions, committees page, SIGCOMM/IMC event pages, the ACM Digital Library, and dblp.
2 skills · plugin
@brycewang-stanford
HRI Skills
Twelve HRI-specific skills for the ACM/IEEE International Conference on Human-Robot Interaction and its interdisciplinary, human-subjects-centered evidence culture, grounded in the HRI 2026/2027 calls, humanrobotinteraction.org, the ACM Digital Library, IEEE Xplore, and dblp.
2 skills · plugin
@brycewang-stanford
ASE Skills
Twelve ASE-specific skills for the IEEE/ACM International Conference on Automated Software Engineering and its automated-SE research track, grounded in the ASE 2025/2026 researchr calls, the ase26.hotcrp.com submission site, IEEE Xplore, the ACM Digital Library, and dblp.
3 skills · plugin
@brycewang-stanford
DAC Skills
Twelve DAC-specific skills for the ACM/IEEE Design Automation Conference (the Chips to Systems Conference) and its double-blind Research Manuscript track, grounded in the DAC 2026 (63rd) call, dac.com, IEEE CEDA, ACM SIGDA, the ACM Digital Library, and dblp.
2 skills · plugin

Results for “dig”

10 skills
More results
casemark
ocr
Processes documents through case.dev OCR for text and table extraction. Supports PDF and image files up to 500MB with page-level and word-level output. Use when the user mentions "OCR", "text extraction", "scan document", "digitize", "extract text from PDF", or needs word-level positional data from documents.
34
jackychenlu
pathml
Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
0 · bundle
metinduraktr-44
pathml
Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
0 · bundle
chen-yu-hao
pathml
Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
5 · bundle
metinduraktr-44
histolab
Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
0 · bundle
chen-yu-hao
histolab
Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
5 · bundle