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Biomaster workflows

Skill BioTender-max/awesome-bio-agent-skills/skills/openclaw/biomaster-workflows

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.From the repository description

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill biomaster-workflows

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

1.9 KB, 491 tokens by cl100k_base, as published. Nobody here has run it

<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <[email protected]> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

name: biomaster-workflows description: Pipeline maestro keywords:

  • workflows
  • RNAseq
  • ChIPseq
  • automation
  • YAML measurable_outcome: Execute a configured pipeline end-to-end (including QC report + summary) within 24 hours of receiving inputs, logging every tool/parameter. license: MIT metadata: author: BioMaster Team version: "1.0.0" compatibility:
  • system: Python 3.9+ allowed-tools:
  • run_shell_command
  • read_file

BioMaster Workflows

Orchestrate BioMaster’s multi-agent pipelines (RNA-seq, ChIP-seq, single-cell, Hi-C) using the provided configs and repos to deliver reproducible outputs.

Workflow

  1. Config prep: Populate YAML with tool paths, reference genomes, and workflow selection (rnaseq, chipseq, singlecell, hic).
  2. Environment: cd repo && pip install -r requirements.txt (or container) prior to running.
  3. Launch: python repo/run.py --config repo/config.yaml (or chosen config) and monitor progress.
  4. Error recovery: Let BioMaster agents retry failing stages; review logs for missing reference/index files.
  5. Output packaging: Collect BAMs/counts/peaks + QC + narrative summary of parameters and runtimes.

Guardrails

  • Fail fast when reference files or indices are absent to avoid wasted compute.
  • Record tool versions for every stage (alignment, quantification, etc.).
  • Require confirmation before deleting intermediates or rerunning destructive steps.

References

  • Full workflow descriptions, supported modalities, and repo links reside in README.md.
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

What ships with it: 99 files

953.6 KB alongside SKILL.md, 59 of them executable

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