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.
82
78%
Does it follow best practices?
Impact
84%
1.20xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/ai-wrapper-product/SKILL.mdStructured output and prompt engineering
Correct SDK package
100%
100%
Input validation present
100%
100%
Input length limit
0%
0%
System prompt with role
0%
100%
System prompt specifies format/tone
0%
100%
JSON schema in prompt
70%
100%
No text outside JSON instruction
87%
100%
No placeholder text instruction
0%
0%
JSON parse with try/catch
100%
100%
Regex fallback for JSON extraction
50%
100%
Cost-appropriate model
0%
100%
Examples in prompt
0%
0%
API cost tracking and usage limits
Logs input tokens
100%
100%
Logs output tokens
100%
100%
Logs cost per call
100%
100%
Logs userId
100%
100%
Logs model name
100%
100%
Per-model rate table
100%
100%
Cost formula uses 1M divisor
100%
100%
Separate input/output rates
100%
100%
Monthly window for limit check
100%
100%
Limit throws before API call
100%
100%
Per-user limit lookup
0%
100%
Correct SDK package
100%
100%
Domain expertise, retry logic, and output validation
Structured output returned
100%
100%
Output parsing present
80%
100%
Domain-specific post-processing
25%
25%
Retry on failure
100%
70%
Fallback model configured
0%
0%
Input validation
100%
100%
System prompt defines role
100%
100%
JSON schema in prompt
60%
100%
Correct SDK package
100%
100%
Appropriate model choice
100%
100%
design-notes explains domain logic
100%
100%
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