Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable strategy skill with excellent decision frameworks, concrete benchmarks, and clear workflows. Its main weakness is length — at 400+ lines it's a monolithic document that would benefit from splitting detailed reference tables and archetype descriptions into separate files. The content quality is high but token efficiency suffers from the sheer volume and some unnecessary explanatory prose.
Suggestions
Split detailed motion archetypes (Section 2), CAC benchmarks (Section 6), and trial/freemium data (Section 8) into separate reference files, keeping only the selection matrix and key decision criteria in the main SKILL.md.
Trim the opening persona description ('You are a go-to-market strategist...') and conceptual explanations (e.g., what TTFV measures) — Claude knows these concepts and the skill description already covers the persona.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive and mostly well-organized, but it's quite long (~400+ lines) with some content that Claude could infer (e.g., explaining what PLG is, what TTFV means conceptually). The benchmarks and tables earn their place, but sections like the opening persona description and some explanatory prose could be trimmed. The agent-led discovery section includes hedging language that adds tokens without clarity. | 2 / 3 |
Actionability | The skill provides highly concrete, actionable guidance: specific scoring thresholds (7+ PLG signals = pure PLG), exact metric benchmarks with medians and top quartiles, clear decision criteria tables, PQL trigger examples, team composition by ARR stage, and step-by-step migration paths. The examples section shows input-output patterns. While there's no executable code (appropriate for a strategy skill), every recommendation is specific and implementable. | 3 / 3 |
Workflow Clarity | The skill has clear multi-step workflows: the 'Before Starting' section defines required inputs, the motion selection matrix provides a clear decision sequence, TTFV optimization has numbered steps (MAP→ELIMINATE→PRELOAD→GUIDE→MEASURE), motion migration paths have sequenced steps with success criteria, and the hybrid motion structure shows a clear funnel with stages. Validation checkpoints are present (e.g., 'Target: 25%+ PQL-to-close rate', 'Only viable with tight ICP'). | 3 / 3 |
Progressive Disclosure | The skill references `references/quick-reference.md` at the bottom and links to related skills, which is good. However, no bundle files are provided, so the reference may not exist. More importantly, the skill itself is very long and monolithic — sections like the detailed motion archetypes, CAC benchmarks, and trial vs freemium decision could be split into separate reference files to keep the main SKILL.md as a concise overview with pointers. | 2 / 3 |
Total | 10 / 12 Passed |