continuous-learning
Extract reusable patterns from coding sessions to improve future AI agent behavior. Use at the end of sessions or when noticing repeated patterns, common mistakes, or successful workflows worth preserving.
Validate that changes to AI prompts, extraction logic, or data schemas don't break existing extraction quality. Use when modifying agentPrompts.ts, extractionSchema.ts, or ai.ts routes. Covers golden test sets, diff testing, and confidence score regression.
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Install skill "ai-regression-testing" with this command: npx skills add hmartinezc/skillsmp-hmartinezc-hmartinezc-ai-regression-testing
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Extract reusable patterns from coding sessions to improve future AI agent behavior. Use at the end of sessions or when noticing repeated patterns, common mistakes, or successful workflows worth preserving.
Optimize Gemini API costs WITHOUT changing the extraction model. Use when building or modifying AI extraction pipelines, batch processing, or when API costs are increasing. Covers caching, prompt optimization, batching, retry logic, and cost tracking. The current model (gemini-3-flash-preview) is proven for PDF invoice extraction and should NOT be downgraded.
Customs documentation, trade compliance, and international shipping regulations for logistics applications. Use when working with customs-related features, international freight documentation, HS codes, duties, or cross-border trade compliance.
Safe, idempotent database migration patterns for libSQL/SQLite. Use when modifying server/schema.ts, adding tables or columns, writing seed data, or planning schema changes. Covers idempotent DDL, rollback strategies, and zero-downtime patterns.