The body is lean and bullet-driven with no explanations of concepts Claude already knows (Nextflow, BAM, schedulers); every line directs action, matching the 'lean and efficient; every token earns its place' anchor.

Provides two full, copy-paste-ready bash invocations whose flags (--tumor-bam, --genome, --profile, --executor slurm, --queue, --project, --cpus, --memory-gb, --walltime, --run, --dry-run) were verified to exist in scripts/run_pacsomatic.py, plus an executable test command.

A clear numbered workflow with an explicit validation checkpoint (the --dry-run stop branch) and an error-recovery feedback loop ('If execution fails, report first failure point and next triage target (.nextflow.log, pipeline_info, failing task logs)').

SKILL.md is an overview pointing to well-signaled, one-level-deep references (agent-playbook.md, config-and-output.md, pacsomatic_guide.md, run_pacsomatic.py), all of which were verified to exist on disk; helper logic is appropriately split into the script rather than inlined.

Lists multiple concrete actions ('validate run inputs, generate pacsomatic-compliant samplesheets, prepare reproducible Nextflow launch artifacts, run locally or submit to schedulers (LSF/Slurm/PBS/SGE), and triage execution failures'), matching the 'multiple specific concrete actions' anchor.

Explicitly answers both what ('Operator toolkit for nf-core/pacsomatic matched tumor-normal workflows from BAM inputs') and when with a literal 'Use this skill when...' and 'Triggers on...' clause, not merely implied.

Natural user phrasings are covered ('run pacsomatic', 'prepare launch commands/scripts', 'perform dry-run checks', 'troubleshoot pipeline startup', named schedulers, 'tumor-normal workflows from BAM inputs'), giving good coverage of terms users would actually say.

Targets a very specific niche (nf-core/pacsomatic matched tumor-normal from BAM) with named schedulers, making it clearly distinguishable and unlikely to trigger for the wrong skill.