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building-genomics-pipelines

This skill should be used when the user asks to "build a genomics pipeline", "call variants", "analyze RNA-seq", "run ChIP-seq analysis", "annotate variants", "QC sequencing data", "detect CNVs", or when writing any bioinformatics pipeline code involving NGS data. Provides expert guidance on pipeline frameworks (Nextflow, Snakemake, WDL), alignment, variant calling, and production-ready nf-core workflows.

91

1.13x
Quality

94%

Does it follow best practices?

Impact

78%

1.13x

Average score across 3 eval scenarios

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.

The body is a well-organized, lean overview with concrete tool defaults and a real nf-core example, plus one-level-deep references to genuine bundle files. The main gap is the absence of explicit validation/feedback-loop checkpoints for batch pipeline operations, which keeps workflow clarity at 4.

Suggestions

Add an explicit validation checkpoint sequence for pipeline runs (e.g. validate inputs -> run -> QC report -> PASS/FAIL gate before downstream steps) to strengthen workflow clarity.

Tie the QC PASS/FAIL thresholds into a concrete feedback loop (fail -> inspect MultiQC -> adjust and re-run) rather than leaving them as a general principle.

Include a brief pre-flight validation step (check reference genome version, sample sheet format) before the nf-core run example.

DimensionReasoningScore

Conciseness

Lean and efficient: opinionated tool defaults are given as terse bullet points ('DNA short reads: Use BWA-MEM2') without explaining what alignment or FASTQ is, assuming Claude's competence throughout.

5 / 5

Actionability

Fully executable guidance including concrete tool names, file-format conventions, and a copy-paste-ready nf-core command with real flags (--genome GRCh38, --tools haplotypecaller,snpeff).

5 / 5

Workflow Clarity

Clear structure via opinionated defaults and a 'Common Workflows' routing list, but it lacks explicit validation checkpoints for the batch/destructive operations it describes; QC PASS/FAIL thresholds are mentioned but not tied into a step sequence.

4 / 5

Progressive Disclosure

Clean overview that splits detailed workflows into one-level-deep, clearly signaled references (references/rnaseq.md, annotation.md, cnv.md), all of which are real bundle files; navigation is easy and not over-nested.

5 / 5

Total

19

/

20

Passed

Description

95%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.

The description is strong: it pairs concrete 'what' capabilities with an explicit 'Use when...' trigger clause covering natural phrasings. Trigger terms and distinctiveness are excellent; specificity is slightly list-driven rather than action-enumerated.

DimensionReasoningScore

Specificity

Lists several concrete actions and domains ('build a genomics pipeline', 'call variants', 'annotate variants', 'QC sequencing data', 'detect CNVs') plus specific frameworks, but coverage is list-driven rather than fully enumerated actions.

4 / 5

Completeness

Explicitly answers both what ('Provides expert guidance on pipeline frameworks...') and when ('This skill should be used when the user asks to...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases users would actually say ('build a genomics pipeline', 'call variants', 'analyze RNA-seq', 'run ChIP-seq analysis', 'annotate variants', 'QC sequencing data', 'detect CNVs') with strong synonym coverage.

5 / 5

Distinctiveness Conflict Risk

Clear genomics/bioinformatics niche with NGS-specific triggers unlikely to conflict with other skills.

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
provectus/awos-recruitment
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.