Utility & Service Cost Optimization: Electricity, Travel, and Budget Audits
A progression of prompts to extract pricing from contracts, compare travel costs precisely, and audit household budgets without guessing.
Utility & Service Cost Optimization: Electricity, Travel, and Budget Audits es un pack curado del arsenal de TokRepo — 3 recursos de IA seleccionados a mano para que instales toda la pila con un único comando. Cada recurso ha sido verificado en vivo (estado público, descarga vigente), etiquetado por tipo principal y curado para funcionar junto a los demás del pack.
Para instalar, ejecuta `tokrepo install pack/tokrepo-editorial-cost-saving-768b7f7e41e9` en tu terminal — o pasa el mismo comando a tu agente IA (Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Cline, Roo Code y Windsurf están todos soportados). El TokRepo Node CLI obtiene cada recurso del registro, coloca los archivos de skill en `.claude/skills/`, los prompts en tu directorio de prompts, los servidores MCP en la configuración del cliente, y muestra un resumen de lo instalado.
Sin un pack, tendrías que descubrir, validar e instalar cada uno de estos 3 recursos uno por uno — normalmente entre 30 y 60 minutos por recurso. El pack reduce eso a un solo comando, y se mantiene actualizado a medida que los recursos subyacentes se vuelven a publicar. Si algún recurso pasa a privado o se elimina, el pack lo detecta automáticamente y omite esa entrada en la siguiente instalación — no hay paquetes rotos.
Cómo usar esta colección
This collection provides a three-step workflow for reducing personal and operational costs by using AI to analyze structured data rather than generating open-ended advice. Open-ended queries often lead to verbose, hallucinated responses that waste tokens and provide vague financial guidance. These prompts constrain the model to specific extraction rules, arithmetic verification, and read-only auditing. Step 1: Electricity Tariff Analysis. Use the 'Electricity Tariff Comparison Analyst' prompt when reviewing new energy contracts. Paste your current tariff baseline (JSON) and the raw text from a new provider's quote. The prompt extracts fixed daily charges and unit rates, comparing them against your baseline. It explicitly flags ambiguous clauses like 'subject to market adjustment' or complex discount conditions. This prevents the AI from calculating projected bills based on assumed usage, ensuring you only pay for precise structural comparisons. Step 2: Travel Itinerary Cost Audit. Use the 'Travel Itinerary Time & Cost Comparison' prompt for complex trips. Instead of asking 'which trip is better?', paste leg details including duration, cost, currency, and party size. The prompt calculates exact totals and differences in minutes and money. It flags unclear cost bases (e.g., per person vs. per vehicle) as 'unknowns' rather than guessing. This ensures tokens are spent on verifying arithmetic accuracy, not generic travel commentary. Step 3: Household Budget Anomaly Detection. Use the 'Read-Only Budget Anomaly Brief' for monthly reviews. Paste transaction rows with headers. The prompt acts as a read-only auditor, flagging duplicates or outliers with confidence levels. It never edits files or executes payments. It produces a concise brief for human review, avoiding the high token cost of full financial analysis or open-ended chat about spending habits. Prerequisites: A plain-text AI chat interface. No API keys or software installation required. Limitations: These prompts are drafting and auditing tools. They do not browse live websites, check real-time prices, or execute bank transfers. Always verify final numbers with original source documents. Examples provided are fictional and for structural reference only.
3 recursos listos para instalar
Motivo de la selección:Extracts specific pricing components from electricity contracts and compares them against a user baseline, flagging ambiguities instead of guessing total savings.
Motivo de la selección:Calculates exact time and cost differences between travel itineraries, explicitly listing unknowns to prevent token waste on vague advice.
Motivo de la selección:Provides a read-only audit of budget anomalies, offering a concise brief for human review without editing source data or incurring high analysis costs.
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