Lists multiple specific concrete actions: 'choose between PLG and sales-led,' 'design a sales motion,' 'optimize time-to-first-value,' 'build a value-before-purchase experience.' Also specifies coverage areas: 'sales motion selection, value delivery design, and go-to-market motion architecture.'

Clearly answers both 'what' (sales motion selection, value delivery design, GTM motion architecture) and 'when' with explicit trigger guidance ('When the user wants to...' and 'Also use when the user mentions...'). Additionally includes negative boundaries ('Do NOT use for technical implementation, code review, or software architecture').

Excellent coverage of natural trigger terms including both acronyms and full forms: 'PLG,' 'product-led growth,' 'sales-led,' 'sales motion,' 'free trial,' 'freemium,' 'self-serve,' 'demo-first,' 'time-to-first-value,' 'TTFV,' 'agent-led sales.' These are terms users would naturally use when discussing go-to-market strategy.

Occupies a clear niche in go-to-market strategy and sales motion design with highly specific trigger terms. The explicit exclusion of technical implementation, code review, and software architecture further reduces conflict risk with engineering-focused skills.

The skill is comprehensive and mostly efficient, but at ~400+ lines it includes some content that could be trimmed or offloaded to reference files. The benchmarks tables and detailed archetype descriptions are valuable but border on excessive for a SKILL.md overview. Some sections like the agent-led discovery section are quite detailed for what could be a reference file.

Highly actionable with specific benchmarks, scoring thresholds (e.g., '7+ PLG signals = pure PLG'), concrete PQL trigger examples, named tools (Navattic, Storylane), specific metrics targets, and clear decision criteria. The motion selection matrix with price/complexity axes gives Claude exact guidance for recommendations.

Multi-step processes are clearly sequenced with explicit checkpoints. The TTFV optimization steps (MAP→ELIMINATE→PRELOAD→GUIDE→MEASURE), hybrid motion structure flow, motion migration paths, and stage-specific playbooks all provide clear sequences. The 'Before Starting' section establishes a discovery workflow with fallback behavior for missing inputs.

The skill references `references/quick-reference.md` and related skills at the end, which is good. However, the main file is very long and contains extensive benchmark tables and detailed archetype descriptions that could be split into reference files. The content is well-structured with headers but would benefit from moving detailed tables to separate files and keeping the SKILL.md as a leaner overview.