wastewise-analytics-validated

Validate WasteWise Analytics workbooks across six categories before generation.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/tryinhard1080/orion-portfolio-waste-analytics --skill wastewise-analytics-validated
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wastewise-analytics-validated
Source: https://github.com/tryinhard1080/orion-portfolio-waste-analytics/tree/main/.claude/skills/wastewise-analytics-validated
Command: npx skills add https://github.com/tryinhard1080/orion-portfolio-waste-analytics --skill wastewise-analytics-validated

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, pandas, openpyxl, python-dateutil, typing, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Manual waste analysis is prone to errors, inconsistent recommendations, and missed contract details. This Skill eliminates these risks by implementing a mandatory, comprehensive validation framework that ensures every report is accurate, reliable, and adheres to strict quality standards before any output is generated.

Core Features & Use Cases

  • Mandatory Validation Gate: Runs over 30 checks across 6 categories (contract, optimization, formulas, data completeness, structure, cross-validation) and halts if any critical check fails.
  • Guaranteed Contract Analysis: Ensures the CONTRACT_TERMS sheet is generated with verbatim clause extraction and calendar reminders if a contract is provided.
  • Validated Optimizations: Only recommends waste reduction opportunities that meet strict, pre-defined criteria, preventing invalid or unfeasible suggestions.
  • Use Case: A regional property director needs to review waste performance across multiple properties. This Skill provides consistently accurate, validated reports, allowing them to trust the data and recommendations without manual double-checking, saving countless hours of review.

Quick Start

Upload 6 months of invoices and a contract for "Columbia Square Living (193 units)". Analyze with full validation checks.

Frequently Asked Questions about wastewise-analytics-validated

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate waste invoices and contracts before generating analytics reports?

Waste validation ensures invoices, contracts, and related datasets pass mandatory quality checks across contract terms, formula accuracy, optimization feasibility, and data completeness before any report is produced. Upload 6+ months of invoices with an optional service contract; the Skill runs 30+ validation checks and halts if critical checks fail, guaranteeing accuracy.

What happens if my waste data fails validation checks?

If validation fails, the Skill halts report generation and specifies which checks failed—contract detection, clause extraction, formula errors, sheet structure, cross-sheet inconsistencies, or optimization constraints. This prevents unreliable recommendations and forces data correction before output proceeds.

Can I extract contract terms automatically from waste service agreements?

Yes. The Skill performs verbatim clause extraction across seven contract categories and generates a CONTRACT_TERMS sheet with extracted obligations, pricing terms, and calendar reminders, ensuring no contractual detail is missed during waste analysis.

How does the Skill validate waste reduction recommendations?

Optimization validation enforces pre-defined criteria including per-compactor pricing accuracy, a 14-day constraint on feasibility windows, and cross-sheet data consistency. Only waste reduction opportunities meeting all strict criteria are recommended, preventing invalid or unfeasible suggestions.

What file formats and Python dependencies does this validation Skill require?

Upload Excel workbooks (.xlsx format); the Skill uses pandas for data processing, openpyxl for spreadsheet validation, python-dateutil for constraint checks, and typing for validation integrity. Standard Python 3 environment with these dependencies installed is required.

Can I use this Skill for multi-property waste performance analysis?

Yes. The Skill validates waste data across multiple properties consistently by enforcing identical validation rules, formula accuracy, and cross-sheet completeness. Regional directors can trust validated reports without manual double-checking across properties.