Open source alternatives to histolab
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Getgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
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opensource-pipeline
Getopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
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andrej-karpathy-skills
Getandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Getmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
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od-contribute
Getod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Getgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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About histolab
histolab
Extracts and preprocesses whole-slide histology image tiles with Histolab
histolab is an agent skill for extracting and preprocessing image tiles from whole-slide histology images using Histolab. It covers inspecting slide metadata, identifying tissue with masks, extracting tiles by random, grid or score-based selection, and standardising H&E staining. Its masks and scores are image-processing heuristics. The skill is firm that they do not diagnose cancer, do not count individual cells, and do not establish image quality. The skill targets Histolab 0.7.0, the latest published release at the review date. That release has strict dependency limits, including Python below 3.12, older NumPy, scikit-image, SciPy and Pillow versions, and openslide-python 1.3.1, so the skill advises keeping this stack in its own environment, away from modern scientific setups. The release does not support Windows, and the skill asks you to install the native OpenSlide library for your system first, then create a dedicated environment. Python 3.10 was the version tested. Use it when you are preparing slide tiles for analysis, for example before training an image model. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/histolab