Nextflow pipelines
Build and run Nextflow workflows.
Build and run Nextflow workflows.
Train models with PyTorch Lightning.
Look up records in scientific databases.
A large collection of scientific agent skills across bioinformatics, chemistry, clinical research, machine learning and more.
Analyse bulk RNA sequencing data.
Single-cell analysis with Scanpy.
Cheminformatics with RDKit.
Differential expression analysis with PyDESeq2.
Write scientific papers and reports.
Work with geospatial data.
Draft clinical and medical reports.
Investigate questions against primary sources.
Builds a sourced research report: question, sources, notes, synthesis, draft and fact-check.
Estimates market size with clear assumptions from top-down and bottom-up methods. Use for business cases.
Synthesises interviews and feedback into themes and insights with quotes. Use after research.
Builds a literature review outline from sources: themes, debates, methods and gaps. Use for papers and reports.
Writes a user or customer interview guide: goals, warm-up, open questions, probes and wrap-up. Use before research sessions.
Turns interview notes into themes, insights and recommendations with supporting quotes. Use after research sessions.
Checks how trustworthy a source is: author, evidence, bias, date and corroboration. Use before relying on a claim.
Researches a question across given sources and the web, then reports findings with citations. Use for fact-finding.
Summarises sources into findings with citations, agreement and disagreement, and gaps. Use when asked to research a topic from given material.
Checks claims in a text one by one, rating each as supported, unsupported or false with evidence. Use before publishing.
Compares two or more options against criteria that matter and recommends one, with reasons. Use for tool, vendor or approach decisions.
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