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. Cov...
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill ai-wrapper-product60
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillAgent success when using this skill
Validation for skill structure
Prompt templates and structured output parsing
Anthropic SDK import
100%
100%
Prompt template object
20%
50%
System prompt has role, format, tone
62%
100%
No placeholder text
100%
100%
JSON schema in system prompt
70%
100%
Primary JSON.parse call
100%
100%
Regex fallback for JSON
100%
100%
Input validation
62%
62%
max_tokens set
100%
100%
Examples in prompt
100%
25%
Output validation after parse
0%
0%
Haiku model used
100%
75%
Without context: $0.6926 · 2m 18s · 28 turns · 27 in / 9,737 out tokens
With context: $0.3590 · 1m 11s · 18 turns · 301 in / 3,815 out tokens
API cost tracking and usage limits
callWithCostTracking wrapper
100%
100%
Logs userId
50%
100%
Logs input tokens
100%
100%
Logs output tokens
100%
100%
Cost calculated per call
100%
100%
Haiku input rate 0.25/1M
0%
100%
Haiku output rate 1.25/1M
0%
100%
Monthly usage sum
100%
100%
Limit enforced before API call
100%
100%
Caching layer present
100%
100%
max_tokens or output limit set
50%
100%
Model logged in usage record
0%
100%
Without context: $0.4432 · 1m 48s · 15 turns · 64 in / 7,408 out tokens
With context: $0.9013 · 3m 40s · 29 turns · 61 in / 14,362 out tokens
AI product architecture and domain differentiation
Input validation layer
100%
100%
Prompt template with context
100%
100%
Domain-specific system prompt
100%
100%
Output parsing step
100%
100%
Output validation step
100%
100%
Fallback / error handling on bad output
100%
100%
Retry logic present
0%
100%
Post-processing step
100%
100%
Model selection justified
100%
100%
Workflow integration
100%
100%
No thin wrapper
100%
100%
Role/format/tone in system prompt
100%
100%
Without context: $0.3164 · 1m 22s · 14 turns · 14 in / 4,650 out tokens
With context: $0.5276 · 1m 56s · 24 turns · 275 in / 5,991 out tokens
Table of Contents
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