Orchestrate nf-core/metapep pipeline runs for reproducible epitope predictions from metagenomic samples.
npx skills add https://github.com/danilomonge/nf-claw --skill metapep
Please help me install this Agent Skill. Skill: metapep Source: https://github.com/danilomonge/nf-claw/tree/main/pipelines/metapep Command: npx skills add https://github.com/danilomonge/nf-claw --skill metapep
This Skill removes the guesswork from running nf-core/metapep by turning metagenomic inputs into a reproducible epitope-prediction workflow with the right release, parameters, and outputs.
Ask the Skill to prepare and run metapep on your samplesheet, output path, and preferred profile so it can generate a validated nfclaw command for the correct release.
High-intent search queries and answers about installing and using this skill.
Metagenomic epitope prediction is simplified by orchestrating the nf-core/metapep pipeline to produce peptide and MHC/HLA affinity predictions from your samples without manual parameter hunting. The workflow enforces schema-validated inputs and version pinning for reproducible runs.
To format a samplesheet for nf-core metapep, you must include required samplesheet fields and output directory parameters. The workflow enforces schema-validated inputs to ensure your assemblies, bins, taxa, and protein inputs are correctly structured before running the pipeline.
Yes, you can run reproducible metagenomic analyses across assemblies, bins, and taxa using Nextflow. The workflow orchestrates the pinned metapep release with validated inputs and version-aware command generation to capture full run provenance for later review.
The best way to avoid invalid flags during epitope prediction is to use a workflow that enforces runtime-safe parameter constraints and schema validation. This ensures you choose supported prediction modes and prevents invalid flags from disrupting your metagenomic analysis.
Metagenomic pipeline execution fails without required outdir and samplesheet fields because the workflow enforces strict schema-validated inputs. Omitting these required parameters violates runtime-safe constraints, preventing the pinned metapep release from generating a valid command.
Yes, you need Nextflow installed to run metagenomic epitope prediction, as the workflow orchestrates the nf-core/metapep pipeline. It generates a validated Nextflow command for your preferred profile, output path, and pinned release version to ensure reproducible analysis.
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