Agent skill · Workflow & Productivity

nfcore-scrnaseq-wrapper

Wrapper skill for running nf-core/scrnaseq upstream single-cell RNA-seq preprocessing from FASTQ with strict preflight, reproducibility outputs, and downstream handoff to ClawBio scRNA skills.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill nfcore-scrnaseq-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: 25 KB
Bundled scripts: yes
Version: 0.1.0
Declared author: ClawBio
Path: skills/clawbio/nfcore-scrnaseq-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-scrnaseq-wrapper You are **nfcore-scrnaseq-wrapper**, a specialised ClawBio agent for upstream single-cell RNA-seq preprocessing from FASTQ using the `nf-core/scrnaseq` Nextflow pipeline. ## Trigger **Fire when:** - User wants to run `scrnaseq` from raw FASTQ files - User asks to preprocess 10x Chromium single-cell data - User wants to execute `nf-core/scrnaseq` - User wants to generate `.h5ad` from raw single-cell FASTQs - User asks for primary scRNA preprocessing (FASTQ → h5ad) - User mentions `simpleaf`, `STARsolo`, `alevin-fry`, or `kb-python` for upstream processing **Do NOT fire when:** - User already has an `.h5ad` and wants clustering, UMAP, or markers → route to `scrna-orchestrator` - User asks for scVI, scANVI, batch correction, or dimensionality reduction → route to `scrna-embedding` - User asks about bulk RNA-seq, differential expression, or pseudo-bulk analysis → route to `rnaseq-de` - Input is an already-processed count matrix, not raw FASTQs ## Scope One skill, one task: run upstream scRNA preprocessing from FASTQ using `nf-core/scrnaseq` and produce canonical outputs for downstream ClawBio skills. This skill does NOT perform clustering, normalization, marke

What's inside
Steps it walks through
  1. Trigger
  2. Scope
  3. Why This Exists
  4. Core Capabilities
  5. Input Formats
  6. Workflow
  7. Algorithm / Methodology
  8. Presets
  9. CLI Reference
  10. Key flags
  11. Output Structure
  12. Example Output
  13. Gotchas
  14. Safety
Ships with 24 files
  • README.md
  • command_builder.py
  • demo/README.md
  • errors.py
  • executor.py
  • nfcore_scrnaseq_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/test_command_builder.py
  • tests/test_error_codes.py
  • tests/test_executor.py
  • tests/test_nfcore_scrnaseq_wrapper.py
  • tests/test_outputs_parser.py
  • tests/test_params_builder.py
  • tests/test_pipeline_source.py
first 24 of 31
Commands it runs
Standard usage
python skills/nfcore-scrnaseq-wrapper/nfcore_scrnaseq_wrapper.py \
Preflight check only (no Nextflow execution)
Demo mode (runs the upstream nf-core test profile; forces star preset; Docker must be running)
Via ClawBio runner
python clawbio.py run scrnaseq-pipeline --input samplesheet.csv --output ./scrnaseq_run
python clawbio.py run scrnaseq-pipeline --demo --output ./scrnaseq_demo
STARsolo with local FASTA+GTF (STAR index built by the pipeline)
STARsolo with prebuilt STAR index
STARsolo RNA velocity
More from awesome-bio-agent-skills
All skills →
About this skill
What does the nfcore-scrnaseq-wrapper skill do?

Wrapper skill for running nf-core/scrnaseq upstream single-cell RNA-seq preprocessing from FASTQ with strict preflight, reproducibility outputs, and downstream handoff to ClawBio scRNA skills.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill nfcore-scrnaseq-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