usage-tracker-1-basic-usage-logging
Acerca de
Esta habilidad proporciona funcionalidad básica de registro de uso con logs con marcas de tiempo delimitadas por tuberías para facilitar su análisis. Crea y mantiene un archivo de log estructurado que rastrea eventos por categoría, elemento, valor y metadatos. Úsala cuando necesites un registro simple y estandarizado para monitorear el uso de herramientas o el seguimiento de actividad en flujos de trabajo de desarrollo.
Instalación rápida
Claude Code
Recomendadonpx skills add vamseeachanta/workspace-hub/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/usage-tracker-1-basic-usage-loggingCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
1. Basic Usage Logging (+1)
1. Basic Usage Logging
Pipe-delimited log format for easy parsing:
#!/bin/bash
# ABOUTME: Basic usage tracking with timestamped logs
# ABOUTME: Pattern from workspace-hub check_claude_usage.sh
# Configuration
USAGE_LOG="${HOME}/.workspace-hub/usage.log"
USAGE_DIR="$(dirname "$USAGE_LOG")"
# Ensure directory exists
mkdir -p "$USAGE_DIR"
# Initialize log if needed
if [[ ! -f "$USAGE_LOG" ]]; then
cat > "$USAGE_LOG" << EOF
# Usage Log
# Format: TIMESTAMP|CATEGORY|ITEM|VALUE|METADATA
# Created: $(date)
EOF
fi
# Log a usage event
log_usage() {
local category="$1"
local item="$2"
local value="${3:-1}"
local metadata="${4:-}"
local timestamp=$(date '+%Y-%m-%d_%H:%M:%S')
echo "${timestamp}|${category}|${item}|${value}|${metadata}" >> "$USAGE_LOG"
}
# Examples
log_usage "model" "opus" "1" "task:architecture"
log_usage "model" "sonnet" "1" "task:implementation"
log_usage "api" "requests" "100" "endpoint:/data"
log_usage "tokens" "input" "2500" "model:opus"
2. Usage Aggregation
Aggregate usage by time period:
#!/bin/bash
# ABOUTME: Usage aggregation functions
# ABOUTME: Summarize by day, week, month
# Get usage for a specific period
get_usage_period() {
local period="$1" # today, week, month
local category="${2:-}"
local filter_date
case "$period" in
today)
filter_date=$(date +%Y-%m-%d)
;;
week)
filter_date=$(date -d '7 days ago' +%Y-%m-%d)
;;
month)
filter_date=$(date -d '30 days ago' +%Y-%m-%d)
;;
*)
filter_date=$(date +%Y-%m-%d)
;;
esac
if [[ -n "$category" ]]; then
grep "$filter_date" "$USAGE_LOG" 2>/dev/null | grep "|${category}|" || true
else
grep "$filter_date" "$USAGE_LOG" 2>/dev/null || true
fi
}
# Count usage by category
count_by_category() {
local period="$1"
get_usage_period "$period" | \
awk -F'|' '{count[$2]+=$4} END {for (c in count) print c, count[c]}' | \
sort -k2 -nr
}
# Count usage by item within category
count_by_item() {
local period="$1"
local category="$2"
get_usage_period "$period" "$category" | \
awk -F'|' '{count[$3]+=$4} END {for (i in count) print i, count[i]}' | \
sort -k2 -nr
}
# Get total usage
get_total() {
local period="$1"
local category="${2:-}"
get_usage_period "$period" "$category" | \
awk -F'|' '{sum+=$4} END {print sum+0}'
}
Repositorio GitHub
Habilidades relacionadas
algorithmic-art
MetaThis Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.
subagent-driven-development
DesarrolloThis skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.
executing-plans
DiseñoUse the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.
cost-optimization
OtroThis Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.
