Agent skill · Workflow & Productivity

nfcore-rnaseq-wrapper

Wrapper skill for running nf-core/rnaseq bulk RNA-seq preprocessing from FASTQ or BAM inputs with strict preflight, reproducibility outputs, and downstream handoff to ClawBio bulk RNA-seq DE skills.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill nfcore-rnaseq-wrapper --agent claude-code

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

Facts
Files in the skill folder: 31
SKILL.md size: 18 KB
Bundled scripts: yes
Version: 0.1.0
Declared author: ClawBio
Path: skills/clawbio/nfcore-rnaseq-wrapper/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

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

From the SKILL.md

# 🧬 nfcore-rnaseq-wrapper You are **nfcore-rnaseq-wrapper**, a specialised ClawBio agent for upstream bulk RNA-seq preprocessing from FASTQ or BAM inputs using `nf-core/rnaseq`. ## Trigger **Fire when:** - User wants to run `nf-core/rnaseq` - User asks for bulk RNA-seq preprocessing from raw FASTQ files - User wants FASTQ to gene-count matrix, Salmon counts, RSEM counts, or MultiQC outputs - User mentions STAR/Salmon, STAR/RSEM, HISAT2, or Bowtie2/Salmon as upstream bulk RNA-seq routes - User asks for a reproducible Nextflow wrapper before downstream differential expression **Do NOT fire when:** - User already has a count matrix and wants differential expression -> route to `rnaseq-de` - User has single-cell FASTQs or wants `.h5ad` -> route to `nfcore-scrnaseq-wrapper` - User wants clustering, marker genes, or Scanpy analysis -> route to `scrna-orchestrator` - Input is clinical DNA/VCF data rather than RNA-seq reads ## Scope One skill, one task: run upstream bulk RNA-seq preprocessing through `nf-core/rnaseq` and produce count-matrix handoff artifacts for downstream ClawBio skills. This skill does not perform differential expression. It emits a prefilled `rnaseq-de` command templa

What's inside
Steps it walks through
  1. Trigger
  2. Scope
  3. Why This Exists
  4. Core Capabilities
  5. Aligners
  6. Input Formats
  7. Workflow
  8. CLI Reference
  9. Demo
  10. Algorithm / Methodology
  11. Example Queries
  12. Example Output
  13. Output Structure
  14. Dependencies
Ships with 24 files
  • README.md
  • command_builder.py
  • demo/README.md
  • errors.py
  • executor.py
  • nfcore_rnaseq_wrapper.py
  • outputs_parser.py
  • params_builder.py
  • pipeline_source.py
  • preflight.py
  • provenance.py
  • remap_paths.py
  • reporting.py
  • reproducibility/compatibility_policy.json
  • reproducibility/pinned_versions.json
  • samplesheet_builder.py
  • schemas.py
  • tests/conftest.py
  • tests/test_command_builder.py
  • tests/test_error_codes.py
  • tests/test_executor.py
  • tests/test_nfcore_rnaseq_wrapper.py
  • tests/test_outputs_parser.py
  • tests/test_params_builder.py
first 24 of 31
Commands it runs
Preflight only; no Nextflow execution
python clawbio.py run rnaseq-pipeline \
Demo mode using upstream test profile
python clawbio.py run rnaseq-pipeline --demo --output ./rnaseq_demo
STAR + Salmon default route
Explicit FASTA/GTF reference
RSEM route
Contaminant screening with Kraken2 + Bracken
Auto-handoff to rnaseq-de when all flags are provided
Prokaryotic transcriptomes via Bowtie2+Salmon
More from awesome-bio-agent-skills
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About this skill
What does the nfcore-rnaseq-wrapper skill do?

Wrapper skill for running nf-core/rnaseq bulk RNA-seq preprocessing from FASTQ or BAM inputs with strict preflight, reproducibility outputs, and downstream handoff to ClawBio bulk RNA-seq DE skills.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill nfcore-rnaseq-wrapper --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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.

Keep going