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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.

Quality

91%

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SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A strongly actionable, information-dense body: every section yields concrete thresholds, benchmarks, and decision rules Claude could execute immediately. Its weaknesses are structural — the reference file duplicates rather than offloads the body, and the huge inline benchmark tables make SKILL.md a monolith instead of the overview-plus-reference split the rubric rewards.

Suggestions

Move the bulk benchmark tables (per-archetype metrics in section 2, CAC benchmarks in section 6, industry trial rates in section 8) into references/quick-reference.md or a second reference file, keeping only the selection matrix and decision rules in SKILL.md.

Deduplicate quick-reference.md against the body: currently the cheat sheet, TTFV targets, and key ratios appear in both places — make the reference the canonical home for those numbers and reference it explicitly at each relevant section ('See references/quick-reference.md for TTFV targets by category').

Add a short end-to-end workflow at the top (gather inputs → score PLG signals → pick archetype → set TTFV/metric targets → apply stage playbook) so the ten sections read as one sequenced process rather than parallel reference material.

DimensionReasoningScore

Conciseness

The body is dense with domain-specific data Claude cannot be assumed to know (e.g., 'opt-out (card required) shows 49% conversion', '85% of deployments fail within 6 months', CAC payback by motion), so most tokens earn their place, and there is no tutorial-style explanation of known concepts. It is not 5 because the ~460-line body duplicates content that also appears in references/quick-reference.md (TTFV targets, key ratios, motion cheat sheet), and the roleplay preamble ('You are a go-to-market strategist...') plus section 2E's overlapping tables could be trimmed.

4 / 5

Actionability

Guidance is fully executable as a decision procedure: a scored selection matrix with an explicit rule ('7+ PLG signals = pure PLG. 4-6 = hybrid. 0-3 = sales-led'), quantified PQL triggers ('Seats/usage exceeds free tier by 20%+', 'Admin/billing page visited 3+ times'), numbered TTFV steps (MAP/ELIMINATE/PRELOAD/GUIDE/MEASURE), and a concrete tiered recommendation ('Start Tier 1. Move to Tier 2 after 90+ days... Avoid Tier 3 unless ACV < $1K'). Per the instruction-only scoring note, absence of code is not penalized since the guidance is specific and covers common cases; it is not 4 because thresholds, tools, and expected outcomes are given throughout with no pseudocode-like vagueness.

5 / 5

Workflow Clarity

Sub-workflows are clearly sequenced: 'Before Starting' input gathering with an explicit fallback ('If the user skips inputs, make reasonable assumptions and state them explicitly'), numbered migration paths with triggers and target outcomes ('Target: 25%+ PQL-to-close rate'), and the anti-pattern/fix and troubleshooting tables give error-recovery guidance. It is not 5 because there is no single end-to-end flow tying gather-inputs → score → select motion → apply playbook together, and validation is via red-flag metric tables rather than explicit checkpoints in the workflows; it is above 3 because each sub-process has explicit triggers, targets, and failure modes.

4 / 5

Progressive Disclosure

The body is well-sectioned with headers and the one bundle file is real and exactly one level deep ('read references/quick-reference.md'), but roughly 450 lines of benchmark tables (CAC by motion, industry trial rates, per-archetype funnels) are inlined where a reference split belongs, and the single reference pointer is buried in a trailing one-line paragraph rather than clearly signaled per section. Worse, quick-reference.md largely duplicates body content (motion cheat sheet, TTFV targets, key ratios) instead of extending it — matching the anchor-3 pattern of 'content that should be separate is inline' with weakly signaled references rather than anchor 4's 'most content appropriately placed.'

3 / 5

Total

16

/

20

Passed

Description

100%Weight 40%Scale 1-5

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

An exemplary description: explicit dual 'when' clauses with eleven natural trigger terms (including abbreviations), a clear third-person 'what' statement, and a hard negative boundary. The only nitpick is mild verbosity from restating scope in the third sentence, but every clause carries information.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — 'choose between PLG and sales-led, design a sales motion, optimize time-to-first-value, or build a value-before-purchase experience' — and closes the coverage loop with 'This skill covers sales motion selection, value delivery design, and go-to-market motion architecture.' This matches the anchor-5 exemplar (multiple specific concrete actions, comprehensive coverage); it is not score 4 because coverage of the domain is complete with no gaps, and every clause names a distinct capability rather than padding.

5 / 5

Completeness

Both questions are answered explicitly: 'when' via 'When the user wants to...' and 'Also use when the user mentions...' with concrete trigger phrases, and 'what' via 'This skill covers sales motion selection, value delivery design, and go-to-market motion architecture.' This mirrors the anchor-5 exemplar almost exactly; a missing or only-implied 'when' clause would cap it at 3, but the trigger guidance is explicit and first-positioned.

5 / 5

Trigger Term Quality

It enumerates eleven natural trigger terms users would actually say — 'PLG,' 'product-led growth,' 'sales-led,' 'sales motion,' 'free trial,' 'freemium,' 'self-serve,' 'demo-first,' 'time-to-first-value,' 'TTFV,' and 'agent-led sales' — including abbreviations and synonyms (PLG/product-led growth, TTFV/time-to-first-value), matching the comprehensive synonym coverage of the anchor-5 example. It does not fall to 4 because no common natural phrasing for this domain is conspicuously missing.

5 / 5

Distinctiveness Conflict Risk

The GTM/sales-motion niche is distinct with domain-specific triggers (PLG, PQL-adjacent vocabulary, freemium, TTFV), and the negative boundary 'Do NOT use for technical implementation, code review, or software architecture' explicitly fences off the most likely conflict areas. This matches the anchor-5 'clear niche with distinct triggers; minimal conflict risk'; score 4 would require some residual overlap ambiguity that the DO-NOT clause already resolves.

5 / 5

Total

20

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

tech-leads-club/agent-skills

Path

packages/skills-catalog/skills/(gtm)/sales-motion-design/SKILL.md

Reviewed

Table of Contents

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