The Overview explains concepts Claude already knows (MECE glossed as 'mutually exclusive, collectively exhaustive', SCQA defined, a Minto Wikipedia quote) and carries in-body 'fetched 2026-06-10' stamps plus an inline ISBN; it is mostly efficient but could be tightened. Not a 3 because these tokens restate known concepts rather than earn their place; not a 1 because the steps and tables are otherwise dense and actionable.

Steps 1-5 give concrete executable guidance for an instruction-only skill: an input table with sources and roles, two precision rules, SCQA slots with literal example sentences, a named MECE grouping pattern, and a minimal markdown output template in a code block. Not a 2 because it provides specific, copy-paste-ready structure rather than vague direction.

Steps 1-5 are clearly sequenced with an explicit validation checkpoint ('Halt with UNCITED_INPUTS') and a feedback loop ('If it cannot be written ... go back to the inputs, not to the slide deck'). Not a 2 because checkpoints are explicit rather than implicit; this is not a destructive/batch operation so the cap-at-2 rule does not apply.

SKILL.md is an overview that signals two real, one-level-deep reference files ('references/dora-metrics.md' for DORA definitions, 'references/qbr-narrative-example.md' for the worked example), both verified to exist, with detail appropriately split out rather than inlined. Not a 2 because references are clearly signaled and shallow; not a 1 because there is no nested or monolithic structure.

Lists multiple specific concrete actions: 'turns ... quality data ... into an executive or QBR narrative structured by the Minto Pyramid Principle: governing answer first, MECE-grouped support beneath it, SCQA opening', naming concrete structural methods rather than vague verbs.

Explicitly answers both what (turns quality data into a Minto-structured narrative) and when ('Use before a QBR, board update, or exec review when the data exists but the story does not'), with an explicit 'Use ... when' trigger clause, and keeps third-person voice throughout.

Includes natural terms users say ('QBR', 'board update', 'exec review', 'DORA delivery metrics', 'OKR grading', 'escape-defect trends', 'weekly digests'), giving good coverage of natural trigger vocabulary rather than technical jargon.

Explicitly distinguishes the skill from three siblings ('Distinct from single-team digest computation ... from portfolio-review aggregation ... and from QA OKR authoring'), carving a clear niche with distinct triggers unlikely to fire for the wrong skill.