Histolab Whole Slide Image Tiling
davila7/claude-code-templates
Processes digital pathology whole slide images with histolab: tissue detection, mask creation, tile extraction and dataset preparation for deep learning.
Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality…
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills pyhealth --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kdense/pyhealth .claude/skills/pyhealth && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pyhealth" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/pyhealth into .claude/skills/pyhealth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyhealth", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/pyhealthType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills pyhealth --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kdense/pyhealth .agents/skills/pyhealth && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pyhealth" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/pyhealth into .agents/skills/pyhealth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyhealth", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills pyhealth --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kdense/pyhealth .cursor/skills/pyhealth && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pyhealth" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/pyhealth into .cursor/skills/pyhealth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyhealth", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/BioTender-max/awesome-bio-agent-skills.git --path skills/kdense/pyhealth--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills pyhealth --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kdense/pyhealth .gemini/skills/pyhealth && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pyhealth" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/pyhealth into .gemini/skills/pyhealth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyhealth", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install BioTender-max/awesome-bio-agent-skills pyhealthInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kdense/pyhealth .github/skills/pyhealth && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pyhealth" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/pyhealth into .github/skills/pyhealth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyhealth", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills pyhealth --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kdense/pyhealth .opencode/skills/pyhealth && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pyhealth" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/pyhealth into .opencode/skills/pyhealth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyhealth", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pyhealthBuild clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality…
Pyhealth is an agent skill from BioTender-max/awesome-bio-agent-skills. Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models (Transformer, RETAIN, GAMENet, SafeDrug, MICRON, StageNet, AdaCare, CNN/RNN/MLP), training with the PyHealth Trainer, computing clinical metrics, and using medical code utilities (ICD/ATC/NDC/RxNorm lookup and…
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `assets/starter_pipeline.py`, `references/datasets.md` and `references/examples.md`).
It sits in Research & Science, covering Clinical and healthcare research, Deep learning and MLOps. It works with Python. The repository describes itself as: A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8cbdd18. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
storage.googleapis.comAlso links to:
pyhealth.devFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pyhealth loads about 1.8k tokens when it runs, and up to ~9.4k if it reads all its reference files. Until then it costs about 213 tokens; SKILL.md has 642 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 642 words (~1,829 tokens).
“PyHealth (https://pyhealth.dev/) is a Python toolkit for clinical deep learning. It provides a unified, modular pipeline across electronic health records (EHR), physiological signals, and medical imaging.”
SKILL.md and 7 other files (references, assets) in skills/kdense/pyhealth of BioTender-max/awesome-bio-agent-skills.
Open the folder on GitHubat commit 8cbdd18
Pyhealth next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pyhealth this skillBioTender-max/awesome-bio-agent-skills | 200 | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Histolab Whole Slide Image Tilingdavila7/claude-code-templates | 33k | 11 repos | ~5.1k | Automated safety check: Pass | MIT | |
| PyHealth Clinical ML Toolkitdavila7/claude-code-templates | 33k | 11 repos | ~4.4k | Automated safety check: Pass | MIT | |
| Megatron-LM on SLURMNVIDIA/Megatron-LM | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Rowanlamm-mit/scienceclaw | 246 | 4 repos | ~3.1k | Automated safety check: Warn | Proprietary | |
| pydicom DICOM Toolkitdavila7/claude-code-templates | 33k | 11 repos | ~3.3k | Automated safety check: Pass | MIT |
davila7/claude-code-templates
Processes digital pathology whole slide images with histolab: tissue detection, mask creation, tile extraction and dataset preparation for deep learning.
davila7/claude-code-templates
Builds machine learning pipelines on clinical data with PyHealth: EHR datasets, prediction tasks, medical code mapping, healthcare models and evaluation.
NVIDIA/Megatron-LM
Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
davila7/claude-code-templates
Reads, edits, anonymizes and converts DICOM medical imaging files with pydicom, including pixel data extraction and compressed transfer syntaxes.
davila7/claude-code-templates
Processes physiological signals with NeuroKit2 in Python: ECG, PPG, EEG, EDA, respiration, EMG and EOG, including HRV, events and complexity measures.
BioTender-max/awesome-bio-agent-skills
Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks.
BioTender-max/awesome-bio-agent-skills
Web toolkit powered by Exa, tuned for scientific and technical content.
BioTender-max/awesome-bio-agent-skills
Queries JGI Lakehouse (Dremio) for genomics metadata from GOLD, IMG, Mycocosm, Phytozome.
BioTender-max/awesome-bio-agent-skills
Operator toolkit for nf-core/pacsomatic matched tumor-normal workflows from BAM inputs.
BioTender-max/awesome-bio-agent-skills
Assess paper and journal impact using OpenAlex citation counts, optional Altmetric data, and curated journal impact-factor references.
BioTender-max/awesome-bio-agent-skills
Search arXiv preprints through the official arXiv API and turn arXiv IDs into local Markdown summaries.
Works with
Categories
Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality…. Pyhealth is an agent skill from BioTender-max/awesome-bio-agent-skills.
Pyhealth fits situations like: the user mentions PyHealth; clinical prediction; drug recommendation; medical code mapping.
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a claude-code`. Or copy the skill folder (skills/kdense/pyhealth in BioTender-max/awesome-bio-agent-skills) into .claude/skills/pyhealth in your project. Claude Code loads it when a task matches its description.
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a codex`. Or copy the skill folder (skills/kdense/pyhealth in BioTender-max/awesome-bio-agent-skills) into .agents/skills/pyhealth in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BioTender-max/awesome-bio-agent-skills --skill pyhealth -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pyhealth, .gemini/skills/pyhealth, .github/skills/pyhealth and .opencode/skills/pyhealth in your project.
Going by SKILL.md and its folder, Pyhealth needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: storage.googleapis.com; the agent is likely to contact it when it follows the instructions. As links in the text: pyhealth.dev. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Pyhealth has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Pyhealth: Histolab Whole Slide Image Tiling (davila7/claude-code-templates, 33k stars), PyHealth Clinical ML Toolkit (davila7/claude-code-templates, 33k stars), Megatron-LM on SLURM (NVIDIA/Megatron-LM, 18k stars) and Rowan (lamm-mit/scienceclaw, 246 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
BioTender-max (a GitHub user) maintains it in BioTender-max/awesome-bio-agent-skills, which has 200 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on July 1, 2026.
Source: BioTender-max/awesome-bio-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.