Export bioinformatics analyses as reproducible bundles with Conda, containers, and pipelines.
npx skills add https://github.com/ClawBio/ClawBio --skill repro-enforcer
Please help me install this Agent Skill. Skill: repro-enforcer Source: https://github.com/ClawBio/ClawBio/tree/main/skills/repro-enforcer Command: npx skills add https://github.com/ClawBio/ClawBio --skill repro-enforcer
Many bioinformatics analyses are difficult to reproduce because runtime environments, container definitions, and workflow implementations are not captured or versioned consistently. Repro Enforcer automates exporting an analysis into a self-contained reproducibility bundle so collaborators and reviewers can rebuild the exact runtime, pipeline, and artifacts.
Use the repro-enforcer skill to export my analysis folder as a reproducible bundle with a pinned Conda environment, a Singularity definition, and a Nextflow pipeline.
High-intent search queries and answers about installing and using this skill.
To export a bioinformatics analysis as a reproducible bundle, you capture and pin the current Conda environment into an environment.yml file for deterministic package versions. This ensures your runtime environment is completely portable and version-controlled for collaborators.
Converting ad-hoc shell commands into a Nextflow or Snakemake pipeline is done by translating command sequences into scalable workflow definitions. This workflow conversion allows ad-hoc analyses to be executed as structured Nextflow DSL2 pipelines or Snakemake workflows.
Checksum manifests and reproduction instructions are needed to verify integrity and guide rebuilding a portable bioinformatics workflow. Producing SHA-256 checksums and a human-readable README ensures your analysis artifacts remain verifiable and reproducible for publication.
Yes, you can package an ad-hoc analysis for peer review and long-term archiving by exporting it into a self-contained reproducibility bundle. This bundle captures the environment, containers, pipelines, and checksums so reviewers can rebuild the exact runtime and artifacts.
Yes, the reproducibility bundle approach works with both Singularity and Docker definitions. It generates Singularity .def files and Dockerfiles alongside docker-compose manifests to ensure your containerized bioinformatics analysis is portable across different HPC and cloud environments.
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