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marketing-psychology

Apply psychological principles, mental models, and behavioral science to marketing, including persuasion, consumer behavior, decision-making, framing, and ethical nudges. Use for questions about why people buy or how people think in a marketing context.

53

Quality

58%

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/marketing-psychology/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

38%Scale 1-5

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

This skill reads as a comprehensive marketing psychology encyclopedia rather than an efficient, actionable skill file. Its greatest weakness is extreme verbosity—it explains dozens of well-known psychological concepts that Claude already understands, consuming enormous token budget. While the quick reference table and section organization show some structural thought, the content lacks concrete executable guidance and would benefit enormously from being split into a concise overview with references to detailed sub-files.

Suggestions

Drastically reduce the body to a concise overview (~50-80 lines) with the quick reference table and task-specific questions, moving detailed model descriptions into separate reference files (e.g., PERSUASION_MODELS.md, PRICING_PSYCHOLOGY.md, GROWTH_MODELS.md).

Remove definitions of concepts Claude already knows (e.g., 'Losses feel roughly twice as painful as equivalent gains') and keep only the marketing-specific application guidance.

Add concrete, executable outputs: example copy rewrites, A/B test hypotheses templates, or specific audit checklists that Claude can directly produce when applying these models.

Include a clear workflow with validation steps for applying psychology to a marketing problem, e.g., 'Diagnose → Select models → Draft recommendation → Verify ethical application → Output actionable plan.'

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~400+ lines, extensively explaining well-known psychological concepts (anchoring, social proof, loss aversion, etc.) that Claude already knows. Each model includes a definition Claude doesn't need, inflating token usage significantly. The content reads more like a marketing psychology textbook than a skill file.

2 / 5

Actionability

Each model includes a 'Marketing application' blurb with directional guidance, but these are abstract recommendations rather than concrete, executable steps. There are no code examples, no specific commands, no templates, and no copy-paste-ready outputs. The guidance tells you what to think about but not exactly what to do.

3 / 5

Workflow Clarity

The quick reference table and task-specific questions provide some workflow structure, and the initial 4-step process (identify models → explain psychology → provide applications → implement ethically) gives a rough sequence. However, there are no validation checkpoints, no feedback loops for verifying recommendations, and no clear step-by-step process for applying these models to a real marketing problem.

3 / 5

Progressive Disclosure

All content is inlined in a single massive file with no references to supporting files despite the content clearly warranting separation (e.g., pricing psychology, persuasion models, and growth models could each be their own reference file). The related skills section at the end hints at connections but the monolithic structure is a poor use of progressive disclosure. No bundle files exist to offload detail.

2 / 5

Total

10

/

20

Passed

Description

78%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.

This is a solid description that clearly communicates both what the skill does and when to use it, with good trigger terms that match natural user language. Its main weakness is that the capabilities are described at a conceptual/topic level rather than as concrete actions or outputs, which limits specificity. The description is concise, uses third person voice, and carves out a reasonably distinct niche.

Suggestions

Replace or supplement the topic list with concrete actions/outputs, e.g., 'Analyze ad copy for persuasion techniques, design behavioral nudge frameworks, identify cognitive biases in pricing strategies.'

Add additional trigger synonyms like 'cognitive bias,' 'influence tactics,' 'behavioral economics,' or 'psychology of pricing' to improve keyword coverage.

DimensionReasoningScore

Specificity

Names the domain (psychological principles in marketing) and lists several conceptual areas (persuasion, consumer behavior, decision-making, framing, ethical nudges), but these are more like topic categories than concrete actions. The verb 'Apply' is somewhat vague—it doesn't specify concrete outputs like 'analyze ad copy for persuasion techniques' or 'design nudge frameworks.'

3 / 5

Completeness

Clearly answers both 'what' (apply psychological principles, mental models, and behavioral science to marketing across several domains) and 'when' ('Use for questions about why people buy or how people think in a marketing context'), with explicit trigger phrases that help Claude identify when to select this skill.

5 / 5

Trigger Term Quality

Includes several natural keywords users might use: 'persuasion,' 'consumer behavior,' 'decision-making,' 'framing,' 'nudges,' 'why people buy,' 'how people think.' Missing some synonyms like 'cognitive bias,' 'behavioral economics,' 'influence,' 'psychology of pricing,' or 'conversion psychology.'

4 / 5

Distinctiveness Conflict Risk

The intersection of psychology/behavioral science with marketing is a fairly distinct niche. There's minor overlap risk with a general marketing strategy skill or a pure psychology skill, but the specific framing around 'mental models,' 'behavioral science,' and 'ethical nudges' in a marketing context narrows it well.

4 / 5

Total

16

/

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

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