Route bioinformatics requests to specialized skills for automated analysis orchestration.
npx skills add https://github.com/ClawBio/ClawBio --skill bio-orchestrator
Please help me install this Agent Skill. Skill: bio-orchestrator Source: https://github.com/ClawBio/ClawBio/tree/main/skills/bio-orchestrator Command: npx skills add https://github.com/ClawBio/ClawBio --skill bio-orchestrator
The Bio Orchestrator routes diverse bioinformatics requests to specialised sub-skills, removing the burden of manual skill selection, file-format detection, and multi-step workflow assembly so users can focus on scientific questions instead of tooling logistics.
Route sample.vcf for annotation and diversity scoring and produce a reproducible markdown report.
High-intent search queries and answers about installing and using this skill.
Bioinformatics orchestration routes requests to specialized skills based on file-type detection, applying multi-step analysis planning and dependency checks across genomics and sequencing workflows. It removes manual skill selection and workflow assembly by chaining outputs and logging audits automatically.
Yes, you can chain genomics analyses like VCF annotation and diversity scoring. The orchestrator plans multi-step workflows, checks dependencies, and dispatches to multiple specialized skills sequentially, passing upstream outputs to downstream tasks automatically.
Yes, bioinformatics orchestration supports reproducibility by generating structured markdown reports alongside bundles. These bundles include conda environments, exact commands, and checksums to ensure analyses can be validated and reproduced reliably.
The bioinformatics orchestration system automatically detects common file formats including VCF, FASTQ, BAM, PDB, h5ad, and CSV. It uses extension and keyword detection to route these files to appropriate specialized skills for targeted analysis.
To ensure local data safety during single-cell and structural biology workflows, the orchestration enforces local-first policies, path validation, and explicit consent for uploads. It maintains audit logs to prevent accidental data exfiltration or destructive actions.
Victory-HugoRead, write, and analyze SAM/BAM/CRAM, VCF/BCF, and FASTA/FASTQ genomic data via Python.
ClawBioExport bioinformatics analyses as reproducible bundles with Conda, containers, and pipelines.
zerwizRoute genomics and omics tasks to relevant bioinformatics reference skills and pipelines.
hardw00tOrchestrate Semgrep, CodeQL, and Bandit scans across codebases.
