Conciseness

The body is lean and dense with non-obvious, task-specific knowledge (constraint quirks, Tm-method caveats, specificity warning) and never pads with concepts Claude already knows; tables and callouts carry information efficiently.

Actionability

Provides fully executable, copy-paste-ready `tu run` commands with complete JSON arguments for both primer design and Tm calculation, plus a runnable QC script with documented usage covering the common cases.

Workflow Clarity

A clear five-step sequence (design → Tm/Ta → rules → specificity → gotchas) with an explicit validation step (QC script in Step 3, genome-specificity check in Step 4) and a feedback loop mapping concrete error messages to fixes in the constraint-quirk callout.

Progressive Disclosure

Well-organized overview with clearly signaled, one-level-deep reference to the real bundle file `scripts/primer_qc.py` (verified present); detailed QC logic is offloaded to the script rather than inlined, and there are no nested references.

Specificity

Lists multiple concrete actions — 'design forward/reverse primers', 'compute melting temperature (Tm) and annealing temperature (Ta)', 'check GC content', 'screen an oligo for hairpins and primer-dimers' — covering the skill comprehensively with no vague filler.

Completeness

Explicitly answers both what (design primers, compute Tm/Ta, check GC, screen for secondary structure) and when ('Use when you need primers for a sequence, want to QC an existing primer pair, or need the Tm of an oligo') with concrete trigger phrases.

Trigger Term Quality

Natural user-facing terms appear throughout with synonyms — 'PCR / qPCR', 'primers', 'oligo', 'Tm', 'Ta', 'QC an existing primer pair', 'hairpins and primer-dimers' — matching how a user would actually request this.

Distinctiveness Conflict Risk

The PCR/qPCR primer-and-oligo design niche is specific and unlikely to overlap with other skills; its triggers (primer design, Tm of an oligo, QC a primer pair) are distinct.