Bioscience research router
Skill yigityildiz0/scientific-agent-skills/skills/common/bioscience-research-router
Routes life-science work across scientific strategy, literature review, experimental design, molecular-genetics assay planning, RStudio reproducible analysis, R data wrangling, R biostatistics, bulk RNA-seq differential expression (DESeq2), ggplot2 figures, Quarto reporting, academic presentations, research synthesis, knowledge organization, single-cell QC, scvi-tools, and nf-core/Nextflow workflows. Use for wet-lab, molecular genetics, bioinformatics, omics, laboratory data, R or RStudio analysis, statistics and modeling, data cleaning and joins, publication figures, scientific report writing, thesis or conference talks, research planning, evidence synthesis, or U.S. research-compliance questions where reproducibility, provenance, privacy, biosafety, IRB/IBC, GLP, or GMP boundaries matter.From its SKILL.md
npx -y skills add yigityildiz0/scientific-agent-skills --skill bioscience-research-routerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
6.5 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it
Bioscience Research Router
Route the task to the smallest sufficient scientific workflow, then enforce evidence, reproducibility, privacy, and human-review gates.
Route the work
| Need | Primary skill | Combine with |
|---|---|---|
| Choose or rescue a research problem | scientific-problem-selection | scientific-literature-review, experimental-design |
| Review biomedical evidence | scientific-literature-review | shared deep-research when available |
| Plan controls, randomization, blocks, batches, or DOE | experimental-design | statistics/power skill from the shared master when needed |
| Design or validate PCR/qPCR primers or probes | molecular-genetics-assay-planning | scientific-literature-review for assay evidence |
| Set up or repair an RStudio project, renv, or a clean reproducible run | rstudio-reproducible-analysis | quarto-authoring for the report |
| Clean, join, reshape, or validate lab/omics tables in R | r-bioscience-data-wrangling | rstudio-reproducible-analysis |
| Choose, fit, diagnose, and report an R statistical model or contrast | r-biostatistics-workflow | experimental-design, r-bioscience-data-wrangling |
| Bulk RNA-seq differential expression from a count matrix | bio-differential-expression-deseq2-basics | r-biostatistics-workflow; nextflow-development upstream |
| Publication-quality figures in R with ggplot2 | bio-data-visualization-ggplot2-fundamentals | r-biostatistics-workflow first |
Reproducible scientific report (.qmd) with code, tables, and citations | quarto-authoring | rstudio-reproducible-analysis |
| Thesis defense, seminar, lab meeting, grant, or conference presentation | academic-presentations | bio-data-visualization-ggplot2-fundamentals, scientific-literature-review |
| Synthesize interviews, notes, findings, or mixed evidence | research-synthesis | scientific-literature-review for source-backed literature |
| Organize durable paper, method, protocol, or project notes | knowledge-base | quarto-authoring for reproducible reports |
QC .h5ad or 10x .h5 single-cell RNA data | single-cell-rna-qc | scvi-tools after QC |
| Integrate or model single-cell/multiome data | scvi-tools | single-cell-rna-qc first |
| Run reproducible RNA-seq, WGS/WES, or ATAC-seq pipelines | nextflow-development | experimental-design, literature review |
| Check U.S. IRB/IBC/GLP/GMP/FDA context | this skill | read references/regulatory-routing.md |
Do not invoke every skill. Use one primary skill and only the supporting skills that close an identified gap.
Scientific execution contract
- State the scientific question, biological unit, sample type, organism, reference build, data modality, and intended decision.
- Separate raw data, derived data, code, parameters, and interpretation. Never overwrite raw data; work on a copy and preserve identifiers or checksums.
- Record controls, biological versus technical replicates, randomization, blocking, batch structure, exclusion rules, and planned statistics before interpreting results.
- Verify actual tool and package versions before using examples. Pin an exact tested version for reproducible runs; do not silently upgrade a working pipeline.
- Run a small validation or test profile before full data. Preserve logs, commands, seeds, environment information, and failure messages.
- Report evidence, assumptions, uncertainty, alternatives, and validation status separately. Label hypotheses and preprints explicitly.
- Require a qualified human to approve biological interpretation, wet-lab execution, regulated decisions, clinical relevance, and publication claims.
Read references/evidence-and-reproducibility.md for the evidence hierarchy and minimum audit trail.
Privacy and external systems
- Treat unpublished sequences, patient-linked data, sample identifiers, credentials, and institutional records as sensitive.
- Prefer local processing. Do not upload sensitive or controlled data to a third-party service without explicit authorization and the institution's approved data-use path.
- Remove direct identifiers and unnecessary metadata before sharing. De-identification does not itself prove HIPAA or institutional compliance.
- Use public accession downloads only after confirming the accession and intended dataset. Record the source URL, accession, retrieval date, and checksum when available.
Safety and compliance boundary
- Provide scientific and regulatory source navigation, not medical, legal, biosafety, IRB, IBC, GLP, GMP, or quality-unit approval.
- Do not decide whether an activity is exempt, compliant, safe, diagnostic, or ready for clinical/manufacturing use.
- For human participants or identifiable biospecimens, stop at a draft/research plan and route the decision to the institution's IRB/privacy office.
- For recombinant or synthetic nucleic acids, engineered organisms, viral vectors, pathogens, toxins, or uncertain containment, route the protocol to the institutional IBC/EHS/biosafety officer before execution.
- For animal work, route design and procedures to the institution's IACUC/veterinary oversight.
- For regulated nonclinical or manufacturing work, distinguish research guidance from controlled SOPs and route final decisions to QA/regulatory professionals.
Read references/regulatory-routing.md whenever any regulated trigger appears.
Deliverable
Return a compact research packet:
- question and scope;
- selected workflow and why;
- inputs and provenance;
- analysis or experiment plan;
- controls and validation gates;
- evidence table with citations;
- assumptions, uncertainties, and alternatives;
- human approvals or institutional reviews required;
- reproducibility record and next safe action.
What ships with it: 3 files
5.5 KB alongside SKILL.md
agents/
- openai.yaml253 B