Report Generator Skill
Purpose
Single GPT-4.1-mini call that transforms aggregated marketing data into a structured, professional audit report. This is the ONLY AI call in the entire audit pipeline.
Input Schema
interface AuditData {
input: AuditInput;
instagram: InstagramData;
metaAds: MetaAdsData;
keywords: KeywordData;
competitors: CompetitorData;
websiteAudit: WebsiteAuditData;
collectedAt: string;
}Output Schema
interface MarketingReport {
brand: string;
generatedAt: string;
sections: ReportSections;
rawData: AuditData;
reportMarkdown: string;
}API Dependencies
- API: OpenAI
- Model:
gpt-4.1-mini - Auth:
OPENAI_API_KEY - Cost: ~$0.001-0.002 per call
Implementation Pattern
- System prompt defines the analyst persona and exact 6-section format
- User message is the full AuditData JSON
- Single API call with
max_tokens: 1500,temperature: 0.4 - Response markdown is parsed into individual sections via
##header splitting - Token usage is logged for cost tracking
- Fallback report is generated if OpenAI call fails
Token Budget
- Input: ~1,500-2,000 tokens (JSON data)
- Output: ~800-1,200 tokens (report)
Error Handling
- Missing API key: returns fallback report with error message
- API failure: returns fallback report with raw data preserved
- All errors logged with context
Example Usage
const report = await generateMarketingReport(auditData);
console.log(report.reportMarkdown);Notes
- This is the ONLY file that should make OpenAI calls (except competitor collector fallback)
- Never add additional GPT calls to other modules