Mostly efficient with tables, checklists, and code blocks, but includes prose Claude already knows ('Granola captures system audio from your device. Transcription accuracy depends entirely on audio quality', 'Crosstalk confuses speaker diarization') and a 'Why It Helps' column that pads the meeting-practices table. Not score 3 because several intros and rationale columns do not earn their tokens; not score 1 because the bulk is actionable rather than concept-explaining fluff.

Provides concrete tables, specific system paths (System Settings > Sound > Input), a copy-paste markdown template, ready-made Chat prompts, and measurable targets ('>95% word accuracy', '<2 min for 30-min meeting'). Not score 2 because guidance is specific and copy-paste ready rather than pseudocode or abstract direction.

A clear six-step sequence with an explicit QA checklist (Step 4) and an 'if accuracy drops below target' recovery loop (Step 6: 1-4), plus an Error Handling table providing feedback loops. Not score 2 because validation checkpoints and error-recovery loops are explicit rather than implicit.

The body has organized sections but is ~160 lines with substantial inline detail (mic tables, processing-speed tables) that overlaps content in references/implementation.md, and the bundle file is never actually referenced from the body — an orphaned reference. Not score 1 because sections are well-organized and only one level deep; not score 3 because the one bundle file is not clearly signaled or linked from SKILL.md.

Lists multiple concrete actions — 'transcription accuracy, note quality, and processing speed', 'reducing processing time, optimizing templates for better AI output, or tuning audio setup' — matching the level-3 anchor of multiple specific concrete actions. Not score 2 because it goes beyond naming a domain to enumerating several distinct actions.

Explicitly answers both 'what' ('Optimize Granola transcription accuracy, note quality, and processing speed') and 'when' ('Use when improving transcription quality, reducing processing time, optimizing templates...'), with explicit triggers. Not score 2 because the 'when' is present and explicit rather than implied.

Trigger terms 'granola performance', 'granola accuracy', 'granola quality', 'improve granola' are natural phrases a user would say, giving good coverage. Not score 2 because it covers several common variations rather than a single keyword; 'granola transcription better' is slightly awkward but does not pull the overall coverage down to level 2.

Scoped to a specific named product (Granola) with distinct product-prefixed triggers, making it unlikely to fire for unrelated skills. Not score 2 because the product-specificity removes the overlap risk that defines the level-2 anchor.