tabular-intelligence
SkillFiles & storageUse when analyzing tabular data (CSV, Excel, tables, metrics). Triggers: 'analiza esta tabla', 'metricas del sprint', 'tendencia de', 'distribucion de', 'correlacion entre', 'KPIs', 'datos financieros', 'perfil estadistico', 'resumen de datos', 'outlier'.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the tabular-intelligence skill
What this skill tells your AI
The instructions your AI receives, as published by gonzalezpazmonica/savia in .claude/skills/tabular-intelligence/SKILL.md and read by ahel’s review.
Analisis estadistico de datos tabulares sin pasar datos crudos al LLM.
Pipeline
- DETECT: identificar datos tabulares en el prompt (>5 filas)
- EXTRACT: extraer a estructura columnar via tabular-profile.py
- ANALYZE: computar perfil estadistico (media, std, quartiles, outliers, tendencia)
- SUMMARIZE: generar resumen compacto (< 200 tokens)
- REASON: el LLM interpreta el perfil, no los datos brutos
Principios
- Zero-training: sin modelos, sin GPU, sin descargas
- Zero-hallucination: numeros exactos del computo
- Local-first: procesamiento local con Python/pandas
Integracion
- MCP tool: tabular_query
- Self-audit: verifica uso de herramienta
- Agents: business-analyst, controlling-kpi, finance-*
Signals
- GitHub stars
- 50
- Forks
- 12
- Last commit
- Sep 2026
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tabular-intelligence-gonzalezpazmonica- Source
- github.com/gonzalezpazmonica/savia