ai-wrapper-product

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.

1.20x

Quality

78%

Does it follow best practices?

Impact

84%

1.20x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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Quality

Discovery

92%

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 a specific niche (AI wrapper products) with concrete capabilities and explicit trigger terms. The description effectively differentiates itself from generic AI assistance by emphasizing business/product aspects like cost management and defensibility. Minor weakness is potential overlap with adjacent skills around general AI development or SaaS building.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions: 'building products that wrap AI APIs', 'prompt engineering for products', 'cost management', 'rate limiting', and 'building defensible AI businesses'. These are specific, actionable capabilities.	3 / 3
Completeness	Clearly answers both what (building AI wrapper products, prompt engineering, cost management, rate limiting, defensible businesses) AND when with explicit 'Use when:' clause listing trigger terms.	3 / 3
Trigger Term Quality	Includes natural keywords users would say: 'AI wrapper', 'GPT product', 'AI tool', 'wrap AI', 'AI SaaS'. Also mentions specific APIs (OpenAI, Anthropic) that users might reference.	3 / 3
Distinctiveness Conflict Risk	While focused on AI wrapper products specifically, there's potential overlap with general 'AI development' or 'SaaS building' skills. The 'AI SaaS' trigger could conflict with broader SaaS skills, and 'prompt engineering' could overlap with prompt-focused skills.	2 / 3
	Total	11 / 12 Passed

Implementation

64%

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

This skill provides solid, actionable code examples for building AI wrapper products with good coverage of cost management and prompt engineering. However, it suffers from some organizational issues - the Sharp Edges section references non-existent anchors, the intro is unnecessarily conversational, and validation/error recovery workflows could be more explicit. The content would benefit from clearer progressive disclosure with actual file references for advanced topics.

Suggestions

Fix Sharp Edges section - either add the referenced solution sections (## Controlling AI Costs, ## Handling Rate Limits, etc.) or link to separate files

Remove the conversational intro paragraph and Capabilities list - they add tokens without actionable value

Add explicit error recovery workflows showing retry logic with exponential backoff and fallback model switching

Split advanced topics (rate limiting, hallucination handling) into separate referenced files rather than leaving them as broken anchors

Dimension	Reasoning	Score
Conciseness	The skill has some unnecessary verbosity in the intro section ('You know AI wrappers get a bad rap') and the Capabilities list duplicates what's shown in patterns. However, the code examples are reasonably tight and the tables are efficient.	2 / 3
Actionability	Provides fully executable JavaScript/Python code examples with real API calls, concrete prompt templates, cost calculation functions, and usage tracking implementations. Code is copy-paste ready with actual SDK usage.	3 / 3
Workflow Clarity	The wrapper stack diagram shows clear sequence, but validation checkpoints are implicit rather than explicit. The 'Basic Implementation' shows steps but lacks error recovery flows. Sharp Edges section references solutions that aren't fully detailed in the document.	2 / 3
Progressive Disclosure	Content is reasonably organized into sections, but everything is inline in one file. The Sharp Edges table references solutions (## Controlling AI Costs) that appear to be internal anchors but don't exist. Related Skills mentions other skills but no actual file references for advanced topics.	2 / 3
	Total	9 / 12 Passed

Validation

90%

Warnings & errors only

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

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Repository: haniakrim21/everything-claude-code
Commit: ae2cadd

Reviewed: 18 days ago

Table of Contents

Discovery Implementation Validation

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