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sales-motion-design

When the user wants to choose between PLG and sales-led, design a sales motion, optimize time-to-first-value, or build a value-before-purchase experience. Also use when the user mentions 'PLG,' 'product-led growth,' 'sales-led,' 'sales motion,' 'free trial,' 'freemium,' 'self-serve,' 'demo-first,' 'time-to-first-value,' 'TTFV,' or 'agent-led sales.' This skill covers sales motion selection, value delivery design, and go-to-market motion architecture. Do NOT use for technical implementation, code review, or software architecture.

72

Quality

88%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

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.

DimensionReasoningScore

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

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that clearly defines its domain (go-to-market and sales motion strategy), lists concrete actions, provides extensive natural trigger terms, and explicitly delineates boundaries. It follows third-person voice conventions and includes both positive and negative selection criteria, making it easy for Claude to correctly choose this skill from a large pool.

DimensionReasoningScore

Specificity

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.'

3 / 3

Completeness

Clearly answers both 'what' (sales motion selection, value delivery design, go-to-market motion architecture) and 'when' (explicit 'Use when' triggers and a list of trigger terms). Also includes negative boundaries ('Do NOT use for technical implementation, code review, or software architecture'), which further strengthens completeness.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: '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 a user would naturally use when seeking this kind of guidance.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche in go-to-market strategy and sales motion design. The explicit exclusion of technical implementation, code review, and software architecture reduces conflict risk with engineering-focused skills. The trigger terms are domain-specific and unlikely to overlap with other skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
tech-leads-club/agent-skills
Reviewed

Table of Contents

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