chore: auto-commit (799 archivos)

- .claude/CLAUDE.md
- .claude/commands/subagentes.md
- .claude/rules/INDEX.md
- .mcp.json
- bash/functions/cybersecurity/analyze_dns.md
- bash/functions/cybersecurity/audit_http_headers.md
- bash/functions/cybersecurity/audit_ssh_config.md
- bash/functions/cybersecurity/check_firewall.md
- bash/functions/cybersecurity/detect_suspicious_users.md
- bash/functions/cybersecurity/encrypt_file.md
- ...

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

functions/datascience/autocorrelation.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func Autocorrelation(data []float64, lag int) float64"
 description: "Calcula la autocorrelación de una serie temporal con un desfase (lag) dado, usando correlación de Pearson."
-tags: [datascience, statistics, autocorrelation, timeseries]
+tags: [datascience, statistics, autocorrelation, timeseries, pendiente-usar]
 uses_functions: [pearson_go_datascience]
 uses_types: []
 returns: []

functions/datascience/clip.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func Clip(data []float64, min, max float64) []float64"
 description: "Recorta cada valor del slice para que quede dentro del rango [min, max]."
-tags: [datascience, clamp, clip, range]
+tags: [datascience, clamp, clip, range, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/detect_outliers.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func DetectOutliers(data []float64, threshold float64) []bool"
 description: "Detecta outliers en un slice de float64 usando z-score. Devuelve true para valores cuyo |z-score| supera el umbral."
-tags: [datascience, statistics, outlier, anomaly]
+tags: [datascience, statistics, outlier, anomaly, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/diff_entities.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func DiffEntities(before, after []map[string]any, key string, ignoreFields []string) map[string]any"
 description: "Compara dos snapshots de entities y devuelve diferencias campo a campo. Detecta añadidas, eliminadas, modificadas e inalteradas. Ignora created_at y updated_at por defecto (pasar nil para usar defaults)."
-tags: [datascience, diff, entities, operations, snapshot, comparison]
+tags: [datascience, diff, entities, operations, snapshot, comparison, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/fetch_data_frame.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: impure
 signature: "func FetchDataFrame(dsn, query string) ([]map[string]any, error)"
 description: "Ejecuta una consulta SQL contra un DSN y retorna los resultados como slice de mapas columna-valor."
-tags: [datascience, io, bigquery, fetch]
+tags: [datascience, io, bigquery, fetch, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/fft.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func FFT(data []float64) []complex128"
 description: "Calcula la Transformada Rápida de Fourier (FFT) usando el algoritmo Cooley-Tukey radix-2. Aplica zero-padding si la longitud no es potencia de 2."
-tags: [datascience, dsp, fft, fourier, frequency]
+tags: [datascience, dsp, fft, fourier, frequency, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/group_by.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func GroupBy[T any, K comparable](xs []T, keyFn func(T) K) map[K][]T"
 description: "Agrupa los elementos de un slice según una función clave, devolviendo un mapa de clave a slice de elementos."
-tags: [datascience, group, aggregate, generic]
+tags: [datascience, group, aggregate, generic, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/histogram.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func Histogram(data []float64, buckets int) []int"
 description: "Calcula las frecuencias de un slice de float64 distribuidas en un número dado de buckets equiespaciados."
-tags: [datascience, statistics, histogram, frequency]
+tags: [datascience, statistics, histogram, frequency, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/impute.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func Impute(data []float64) []float64"
 description: "Rellena valores NaN en un slice de float64 usando forward-fill, reemplazando cada NaN con el último valor válido anterior."
-tags: [datascience, impute, missing, fill]
+tags: [datascience, impute, missing, fill, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/load_csv.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: impure
 signature: "func LoadCSV(path string) ([]map[string]string, error)"
 description: "Carga un archivo CSV desde disco y lo retorna como slice de mapas columna-valor."
-tags: [datascience, io, csv, load]
+tags: [datascience, io, csv, load, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/load_parquet.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: impure
 signature: "func LoadParquet(path string) ([]map[string]any, error)"
 description: "Carga un archivo Parquet desde disco y lo retorna como slice de mapas columna-valor."
-tags: [datascience, io, parquet, load]
+tags: [datascience, io, parquet, load, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/lorenz_step.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "LorenzStep(s LorenzState, dt float64, p LorenzParams) LorenzState"
 description: "Paso del atractor de Lorenz (sistema caótico determinista). Integración Euler con parámetros configurables. Incluye LorenzSeries para generar N pasos."
-tags: [lorenz, chaos, attractor, simulation, math, dynamical-systems]
+tags: [lorenz, chaos, attractor, simulation, math, dynamical-systems, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/metrics_drift.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func MetricsDrift(historical []int64, current int64, percentile float64) (drift float64, baseline int64)"
 description: "Calcula la deriva relativa de una medicion actual respecto a una linea base historica. La linea base se obtiene como el percentil indicado del historico. drift = (current - baseline) / baseline. Retorna drift=0, baseline=0 si el historico esta vacio o la linea base es cero."
-tags: [metrics, drift, percentile, statistics, monitoring, baseline]
+tags: [metrics, drift, percentile, statistics, monitoring, baseline, pendiente-usar]
 uses_functions: [percentile_int64_go_datascience]
 uses_types: []
 returns: []

functions/datascience/min_max_scale.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func MinMaxScale(data []float64) []float64"
 description: "Escala los valores de un slice al rango [0, 1] usando normalización min-max."
-tags: [datascience, statistics, normalize, scale]
+tags: [datascience, statistics, normalize, scale, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/pivot.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func Pivot(rows []map[string]any, index, columns, values, agg string) []map[string]any"
 description: "Pivot table sin dependencias. Agrupa por index, expande valores unicos de columns como nuevas columnas y agrega values con la funcion indicada (sum, count, mean, min, max, first, last). Valores faltantes se rellenan con 0."
-tags: [datascience, tabular, pivot, transform, aggregation, go]
+tags: [datascience, tabular, pivot, transform, aggregation, go, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/rolling_window.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func RollingWindow[T any](xs []T, size int) [][]T"
 description: "Genera ventanas deslizantes de tamaño fijo sobre un slice genérico."
-tags: [datascience, window, rolling, sliding, generic]
+tags: [datascience, window, rolling, sliding, generic, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/standardize.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func Standardize(data []float64) []float64"
 description: "Aplica Z-score normalización a un slice de float64, transformando cada valor a (x - media) / desviación estándar."
-tags: [datascience, statistics, normalize, zscore]
+tags: [datascience, statistics, normalize, zscore, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []

functions/datascience/zip_slices.md

@@ -7,7 +7,7 @@ version: "1.0.0"
 purity: pure
 signature: "func ZipSlices(as, bs []float64) [][2]float64"
 description: "Combina dos slices de float64 en un slice de pares [2]float64, truncando al más corto."
-tags: [datascience, zip, combine, pair]
+tags: [datascience, zip, combine, pair, pendiente-usar]
 uses_functions: []
 uses_types: []
 returns: []