Dnanexus Integration

If you're running genomics pipelines on DNAnexus, this gives Claude the context to help you build apps, wrangle data, and orchestrate jobs through dxpy. It covers the five main areas you'll hit: writing applets with proper entry points, uploading and organizing FASTQ/BAM/VCF files, launching and monitoring workflow jobs, scripting with the Python SDK, and configuring dxapp.json with dependencies. The reference docs are well organized around real use cases like batch processing samples or chaining multi-step analyses. You'll need a DNAnexus account obviously, but if you're already on the platform and want Claude to understand dx commands, job references, and data object patterns, this is solid grounding for that domain.

skills.sh installs: 2K
GitHub stars: 56.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill dnanexus-integration --agent claude-code

Installs into .claude/skills of the current project.

Files

DNAnexus Integration

Purpose

Use this skill to build, run, and operate DNAnexus workloads without guessing at platform semantics. It covers:

dx CLI and dxpy automation
Files, records, folders, projects, and metadata
Apps and applets defined by dxapp.json
Jobs, workflow analyses, retries, monitoring, and cost controls
Native workflows, WDL/CWL through dxCompiler, and Nextflow imports

The documented baseline was reviewed on 2026-09-30 against dxpy==0.415.0, dxCompiler 2.18.0, and the 2026 DNAnexus documentation. Consult references/sources.md and current release notes when behavior may have changed. SDK signatures, CLI help, and offline validators were executed locally; examples that transfer data, build, or launch workloads are illustrative and require testing in the target account. No authenticated platform run was performed during this review.