time-back-scoreboard

Calculate verified time savings from TIME-SAVED.md records and generate scoreboard.html output.

Updated May 7, 2026
One-click install
npx skills add https://github.com/BeltDoor/aios-template --skill time-back-scoreboard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: time-back-scoreboard
Source: https://github.com/BeltDoor/aios-template/tree/main/.king-intelligence/plugins/king-intelligence/skills/time-back-scoreboard
Command: npx skills add https://github.com/BeltDoor/aios-template --skill time-back-scoreboard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the problem of not knowing whether an AI system is delivering measurable value by creating an honest, auditable view of completed work and time saved.

Core Features & Use Cases

  • Time Savings Calculation: Reads tracked completed tasks and calculates saved hours from owner-defined time estimates without inventing results.
  • Proof Dashboard Generation: Creates a scoreboard artifact showing task counts, saved time, and historical growth for transparent value tracking.
  • Use Case: A business owner can ask how much time their AI system has saved and receive a trustworthy breakdown based only on completed tracked workflows.

Quick Start

Ask the time-back-scoreboard skill to show the current scoreboard of work completed and time saved by the AI system.

Frequently Asked Questions about time-back-scoreboard

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

FAQPage Schema
How do I calculate time savings from completed AI-assisted business workflows?

You calculate time savings by parsing tracked completed task records and applying owner-defined time estimates to generate an auditable breakdown of saved hours without inventing results.

How do I prove AI system value and productivity gains for business automation?

You prove AI system value by generating a scoreboard artifact showing task counts, saved time, and historical growth snapshots, providing transparent reporting of measurable productivity gains based only on completed tracked workflows.

What is the best way to track measurable productivity gains from AI tasks honestly?

The best way to track productivity gains honestly is maintaining a tracked work ledger of completed tasks with owner-defined time estimates, ensuring an auditable view of work completed and time saved without inventing results.

Do I need a specific file format to generate a time savings scoreboard?

Yes, generating a time savings scoreboard requires parsing TIME-SAVED.md records to calculate verified time savings and producing a scoreboard.html output artifact for transparent reporting.

Can I maintain historical snapshots of AI workflow tracking for transparent reporting?

Yes, you can maintain historical snapshots of AI workflow tracking for transparent reporting by generating scoreboard.html outputs that preserve task counts, saved time, and historical growth data over time.

Why does my AI time savings report lack proof of system value?

Your AI time savings report lacks proof of system value because it does not use a tracked work ledger of completed tasks with owner-defined time estimates to create an honest, auditable view of measurable productivity gains.