Conciseness

The core material (taxonomy table, smell list, gotchas, workflow) is tight and skill-specific, but the body includes unnecessary padding: a multi-sentence statistics caveat about a 13-item anecdote, dated model-tier commentary ('Haiku is adequate…', 'Model names and tiers also date fast') that is time-sensitive, and a Source section that repeats the same URL twice. This fits 'mostly efficient but could be tightened' better than the minor-trims level 4.

Actionability

Guidance is largely executable — a concrete rewrite template, a worked before/after example, a quarterly-bucket regex, and copy-paste bash commands. The gap: the 'Local Workspace Issue Prioritization' section instructs running 'python3 scripts/prioritize_issues.py' but no scripts/ directory exists in the bundle, so that command cannot actually be executed.

Workflow Clarity

The main coaching flow is a clear six-step sequence (Receive → Classify → Flag → Suggest → already-outcome branch → KPI guardrail), and the bulk-classification section supplies post-processing rules and a spot-check methodology, so batch operations do have verification guidance. Minor validation gaps (e.g., no explicit loop for re-checking a misclassified batch) keep it below 5.

Progressive Disclosure

The two references files (detection-patterns.md, rewrite-patterns.md) are well-signaled and one level deep with clear purpose statements, but three paths referenced in the body — scripts/prioritize_issues.py, agents/openai.yaml, and ../../CREDITS.md — do not exist in the bundle, and the Rovo Agent Configuration and Conversation Starters blocks are inlined host-paste content that could live in a separate file. Dangling references plus inlined secondary content place this between the 'buried/separate-inline' and 'mostly clear' anchors.

Specificity

The description names several concrete, distinct actions — 'Reframe work from output/activity language to outcome language', 'classified on the Input→Activity→Output→Outcome→Impact taxonomy', and 'pressure-testing a message before a leader sends it' — with only minor gaps in coverage, matching the 'lists several specific actions' anchor rather than the comprehensive 5.

Completeness

It explicitly answers both questions: what ('Reframe work from output/activity language to outcome language, on two surfaces — backlog items… and leadership asks') and when (a 'Use when…' clause with five concrete trigger scenarios), plus routing guidance to sibling skills, matching the top anchor exactly.

Trigger Term Quality

'Use when reviewing backlog epics in bulk, facilitating PI planning, running a value orientation audit, coaching a product owner on outcome-driven planning, or pressure-testing a message' covers natural phrasings a practitioner would actually say, but misses common synonyms and variations (e.g., user stories, OKRs, sprint planning), so it falls just short of comprehensive.

Distinctiveness Conflict Risk

It occupies a clear niche (outcome framing for backlog items and leadership asks) and actively disambiguates from adjacent skills ('use sniff-test', 'run ai-activity-to-impact first'), minimizing the chance of triggering for the wrong skill.