Agent skill · Data & Analytics

dnanexus-integration

Build and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill dnanexus-integration --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 12
SKILL.md size: 11 KB
Bundled scripts: yes
Version: 2.0
Requires: Requires a DNAnexus account, network access, Python 3.11+, and dx-toolkit/dxpy; some workflow and infrastructure…
Path: skills/dnanexus-integration/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 32,619
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 verified on **2026-07-23** against `dxpy==0.410.0`, dxCompiler 2.17.0, and the 2026 DNAnexus documentation. Consult `references/sources.md` and current release notes when behavior may have changed. ## Operating Contract DNAnexus operations can expose regulated data, delete immutable objects, change permissions, or incur compute and egress charges. Follow these rules: 1. Start read-only. Confirm the user, project ID, region, folder, object IDs, and execution target before mutation. 2. Obtain confirmation before a billable launch, upload or download with material egress, archive/unarchive request, deletion, project removal, permission change, token revocation, or app publication unless the user already explicitly requested that exact operation and target. 3

What's inside
Steps it walks through
  1. Purpose
  2. Operating Contract
  3. Install and Authenticate
  4. Safe Preflight
  5. Choose the Right Path
  6. Core Workflows
  7. Transfer data
  8. Search accurately with dxpy
  9. Build an applet
  10. Launch with explicit controls
  11. Monitor jobs and analyses
  12. Chain executions without polling
  13. Current Platform Guidance
  14. Bundled Helpers
Ships with 11 files
  • references/app-development.md
  • references/authentication.md
  • references/configuration.md
  • references/data-operations.md
  • references/job-execution.md
  • references/operations-and-troubleshooting.md
  • references/python-sdk.md
  • references/sources.md
  • references/workflow-languages.md
  • scripts/inspect_dxpy.py
  • scripts/validate_dxapp.py
Commands it runs
uv tool install "dxpy==0.410.0"
dx --version
uv add "dxpy==0.410.0"
dx login
dx whoami
dx select
dx pwd
dx ls
dx upload "sample.fastq.gz" \
dx download "project-xxxx:/results/sample.bam" \
More from scientific-agent-skills
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About this skill
What does the dnanexus-integration skill do?

Build and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.

How do I install it?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill dnanexus-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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