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building-genomics-pipelines

This skill should be used when the user asks to "build a genomics pipeline", "pick an nf-core pipeline", "which aligner/variant caller should I use", "analyze RNA-seq", "analyze single-cell RNA-seq", "annotate variants", "interpret variants with ACMG criteria", "detect CNVs", "call structural variants", or when choosing tools, file formats, and QC thresholds for NGS data. Provides opinionated tool defaults (aligners, variant callers, annotators), genomics file-format and reproducibility conventions, an nf-core pipeline selection table, and detailed references for RNA-seq (bulk and single-cell), variant annotation with clinical interpretation, and CNV/SV analysis. It does not teach Nextflow DSL2, Snakemake, or WDL authoring — for writing workflow code by hand, use those frameworks' own documentation.

81

1.07x
Quality

94%

Does it follow best practices?

Impact

100%

1.07x

1 of 3 eval scenarios. Add 2 more for a full score.

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

93%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An efficient, highly actionable overview that trusts Claude's knowledge and spends its tokens on opinionated defaults, conventions, and routing. The only refinement opportunity is making the end-to-end pipeline sequence and its validation checkpoints explicit rather than implied by section ordering.

DimensionReasoningScore

Conciseness

The body is lean: terse default tables, one-line format conventions with non-obvious justifications ("prefer CRAM over BAM (30-50% smaller)"), and no explanations of concepts Claude already knows. Every line is a decision, a convention, or a pointer.

5 / 5

Actionability

Concrete tool choices for every scenario (BWA-MEM2, STAR, Minimap2, DeepVariant, Mutect2, Manta, GRIDSS, VEP), concrete commands ("always use bgzip + tabix for indexing"), and a copy-paste-ready `nextflow run nf-core/sarek` example with explicit escape hatches for GATK-ecosystem and somatic cases.

5 / 5

Workflow Clarity

Routing is clear (defaults → file formats → workflow-type dispatch to references → nf-core table) and validation guidance exists ("Validate files before downstream analysis", "QC at every stage", "set clear PASS/FAIL thresholds"), but the end-to-end sequence is implied by section order rather than enumerated with explicit validate-and-proceed checkpoints. Not 3: checkpoints are stated, not absent; not 5: no explicit feedback loop for failed validation.

4 / 5

Progressive Disclosure

The body is a genuine overview: detailed per-workflow material is split into three well-signaled, one-level-deep references ([references/rnaseq.md], [references/annotation.md], [references/cnv.md]), all of which exist in the bundle, while defaults, conventions, and the nf-core table stay appropriately inline.

5 / 5

Total

19

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that pairs a comprehensive capability list with explicit, naturally phrased trigger conditions and a clear boundary against workflow-language authoring. The only gap is the absence of file-extension triggers (.fastq, .bam, .vcf) that would push trigger coverage to fully comprehensive.

DimensionReasoningScore

Specificity

The description lists multiple concrete capabilities — "Provides opinionated tool defaults (aligners, variant callers, annotators), genomics file-format and reproducibility conventions, an nf-core pipeline selection table, and detailed references for RNA-seq (bulk and single-cell), variant annotation with clinical interpretation, and CNV/SV analysis" — with comprehensive coverage and no vague filler.

5 / 5

Completeness

It explicitly answers both questions: "This skill should be used when the user asks to..." gives concrete when-triggers, and "Provides opinionated tool defaults... conventions... selection table, and detailed references..." gives a clear what, matching the top anchor's structure.

5 / 5

Trigger Term Quality

Nine quoted natural trigger phrases ("build a genomics pipeline", "pick an nf-core pipeline", "which aligner/variant caller should I use", "analyze single-cell RNA-seq", "interpret variants with ACMG criteria", "detect CNVs", "call structural variants") plus synonyms (NGS, CNV/SV) give excellent coverage, but no file-extension triggers (.fastq, .bam, .vcf) that users commonly mention, placing it between anchors 4 and 5.

4 / 5

Distinctiveness Conflict Risk

A clear genomics-pipeline niche with distinct triggers and an explicit non-goal boundary — "It does not teach Nextflow DSL2, Snakemake, or WDL authoring — for writing workflow code by hand, use those frameworks' own documentation" — redirects overlapping requests elsewhere, minimizing conflict risk. Voice is consistently third person.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

provectus/awos-recruitment

Path

registry/skills/building-genomics-pipelines/SKILL.md

Reviewed

Table of Contents

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