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quiz-and-assessment-design

Designing quizzes, personality assessments, and recommendation tools that segment users into actionable categories rather than generating clicks for clicks' sake. Question architecture, scoring algorithms, result categorization, recommendation mapping, lead capture integration. Honest about clickbait-quiz (engagement only), vanity-result (entertaining, not useful), and actionable-segmentation (genuine categorization that drives next-step recommendations) patterns. Triggers on quiz, assessment, personality test, recommendation tool, scorecard, diagnostic, fit evaluator, what-type-of-X-are-you, persona quiz. Also triggers when an audience needs a categorization-driven lead magnet, when a vanity quiz is producing engagement but no qualified leads, or when an assessment is being scoped for the first time.

58

Quality

67%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/quiz-and-assessment-design/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

35%

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

This skill is a comprehensive strategic guide to quiz and assessment design with strong conceptual frameworks and clear categorization of patterns and anti-patterns. Its primary weakness is extreme verbosity—the clickbait-vs-actionable distinction is repeated at least 5 times across different sections, and many concepts explained at length are things Claude already understands. The skill would benefit significantly from condensing the inline content and relying more heavily on the reference files it already points to, as well as adding concrete templates or worked examples rather than abstract descriptions.

Suggestions

Cut the content by 50-60%: remove the philosophical opening paragraphs, eliminate repeated explanations of the clickbait/vanity/actionable distinction (state it once, reference it thereafter), and trim explanations of basic concepts like question types that Claude already knows.

Add a concrete worked example: show a complete mini-quiz design (3-4 questions, scoring weights, 4 segments, mapped recommendations) as a template artifact rather than describing the process abstractly.

Move the detailed content from each section into the referenced files and keep only the essential decision criteria and key principles inline—the current structure duplicates content between the main file and references.

Add explicit validation checkpoints to the workflow: e.g., 'Test segment balance with 20+ responses before building result pages' and 'Validate recommendation-segment fit with 3 subject-matter experts before launch.'

DimensionReasoningScore

Conciseness

Extremely verbose at ~300+ lines. Extensively explains concepts Claude already understands (what clickbait quizzes are, what multiple-choice questions are, what leading questions are). The opening paragraphs are philosophical framing that could be condensed to 2-3 sentences. The anti-patterns section, failure modes, and closing all repeat the same clickbait-vs-actionable distinction multiple times. The entire skill could be reduced to roughly one-third its length without losing actionable content.

1 / 3

Actionability

The skill provides structured frameworks (12 considerations, scoring algorithm patterns, question architecture guidelines) with specific criteria and examples, but everything remains at the conceptual/strategic level with no concrete artifacts—no example scoring spreadsheet, no sample question-to-segment mapping table, no template quiz structure, no example result page copy. The guidance is specific enough to act on but lacks the executable, copy-paste-ready artifacts that would earn a 3.

2 / 3

Workflow Clarity

The 12-consideration framework provides a clear checklist, and the sections follow a logical sequence (decide → design questions → score → categorize → map recommendations → capture leads). However, there are no explicit validation checkpoints or feedback loops—no 'test with N users before launching,' no 'validate segment balance before building result pages,' no iterative review steps. For a process involving significant design investment, the lack of validation gates is notable.

2 / 3

Progressive Disclosure

The skill references 9 separate reference files with clear descriptions and links, which is good progressive disclosure structure. However, no bundle files are provided, so the references are unverifiable. More importantly, the main SKILL.md itself contains extensive inline content that overlaps heavily with what the reference files presumably cover—each section ends with 'Detail in [reference]' but already includes substantial detail inline, suggesting the content split is poorly calibrated.

2 / 3

Total

7

/

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, well-crafted skill description that excels across all dimensions. It provides specific capabilities, comprehensive trigger terms covering both keyword matches and situational triggers, and occupies a distinct niche. The description is detailed without being padded, and the three-pattern taxonomy (clickbait-quiz, vanity-result, actionable-segmentation) adds genuine discriminative value.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: designing quizzes, personality assessments, recommendation tools, question architecture, scoring algorithms, result categorization, recommendation mapping, lead capture integration. Also distinguishes between three specific patterns (clickbait-quiz, vanity-result, actionable-segmentation).

3 / 3

Completeness

Clearly answers both 'what' (designing quizzes, assessments, recommendation tools with specific sub-capabilities) and 'when' (explicit trigger terms listed, plus situational triggers like 'when a vanity quiz is producing engagement but no qualified leads' or 'when an assessment is being scoped for the first time').

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: quiz, assessment, personality test, recommendation tool, scorecard, diagnostic, fit evaluator, 'what-type-of-X-are-you', persona quiz, lead magnet, categorization. These are terms users would naturally use when requesting this type of work.

3 / 3

Distinctiveness Conflict Risk

Occupies a very clear niche around interactive quiz/assessment design with a marketing/lead-gen focus. The specific terminology (scoring algorithms, result categorization, actionable-segmentation vs clickbait-quiz patterns) makes it highly unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
rampstackco/claude-skills
Reviewed

Table of Contents

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