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Arsapol
Perfil de creador de GitHub

Arsapol

Vista por repositorio de 16 skills recopiladas en 1 repositorios de GitHub.

skills recopiladas
16
repositorios
1
actualizado
8 abr 2026
explorador de repositorios

Repositorios y skills representativas

npa-comparator
Científicos de datos

Cross-NPA comparison engine for Thai distressed properties. Finds comparable NPA properties by GPS proximity, computes area benchmarks (median/p25/p75), and returns type-specific comparison results (condo, land, house, commercial). Condos additionally use…

8 abr 2026
npa-alerts
Trabajadores conductores-vendedores

NPA property alert system. Scans ALL provider databases (LED, SAM, BAM, JAM, KTB, KBANK) for newly added properties, price drops, best deals, properties near BTS/MRT, and upcoming auctions. Can generate daily reports and run on schedule.

6 abr 2026
analyze
Analistas financieros y de inversiones

Run structured analysis (financial, property, data) using the hybrid ralph pattern. Decomposes research questions into parallel investigation tracks with verification.

5 abr 2026
build-feature
Gerentes de arquitectura e ingeniería

Team lead skill that decomposes a feature, defines shared contracts, coordinates Agent Teams (creative track) and Ralph loops (mechanical track).

5 abr 2026
prd
Especialistas en gestión de proyectos

Generate a structured PRD with user stories from a feature description. Interviews the user, then outputs prd.json.

5 abr 2026
ralph
Desarrolladores de software

Run the autonomous ralph loop for mechanical stories. Iterates with fresh context until all tasks pass.

5 abr 2026
ada-research
Analistas financieros y de inversiones

Delegate research to Ada (stocks agent) that serves both NPA property analysis and her investment research. Use when NPA-guy needs macro data, bank NPL trends, developer sector health, REIT yields, rate decisions, or any financial/market context that Ada…

5 abr 2026
kb
Desarrolladores de software

Knowledge base and knowledge graph for NPA property intelligence with temporal tracking. Every ingestion records category, area, source, and auto-calculated expiry. Powered by LightRAG (vector + graph) + kb_metadata table for freshness management.

5 abr 2026
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