ICE

Document Intent, Condition, and Eval traces for mission tasks.

Updated Jan 21, 2026
One-click install
npx skills add https://github.com/bitguts/TAES --skill ice-bitguts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ICE
Source: https://github.com/bitguts/TAES/tree/main/.github/skills/ICE
Command: npx skills add https://github.com/bitguts/TAES --skill ice-bitguts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ICE provides a structured framework to ensure mission execution is clear, verifiable, and auditable by capturing intent, conditions, and evaluation traces for each action.

Core Features & Use Cases

  • Intent: articulate the purpose and success criteria before an action begins.
  • Condition: define boundaries, resources, and constraints to keep work within safe limits.
  • Eval: generate verifiable evidence of outcomes to support accountability and learning.
  • Use Case: in AI-assisted workflows, log the intent, applicable conditions, and evaluation results for each step to enable traceability and post-hoc analysis.

Quick Start

Write a concise command that prompts an AI to log the current task's Intent, Conditions, and Eval, and produce a traceable report.

Frequently Asked Questions about ICE

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

FAQPage Schema
How do I make AI-assisted task execution traceable and auditable?

To make AI-assisted task execution traceable, you need to log the intent, conditions, and evaluation results for each step. This structured framework ensures mission execution remains clear, verifiable, and auditable across teams.

What is the ICE framework for project management?

The ICE framework for project management is a structured method to capture Intent, Condition, and Eval for mission tasks. It defines purpose, boundaries, and verifiable evidence to enforce structured prompts and auditable milestones.

How do I document intent and conditions before starting a project task?

You document intent and conditions by articulating the purpose and success criteria before an action begins, then defining boundaries, resources, and constraints. This keeps work within safe limits and enables post-hoc analysis.

Can I use structured execution tracking for project reviews and progress reporting?

Yes, you can apply structured execution tracking to project reviews and progress reporting. By generating verifiable evidence of outcomes, it supports accountability and learning across teams through traceable reports.

Does execution tracking work without predefined success criteria?

Execution tracking requires predefined success criteria to function properly. Without articulating the intent and evaluation metrics beforehand, generating verifiable evidence of outcomes and maintaining auditable milestones is not possible.

What is the best way to enforce structured prompts in AI workflows?

The best way to enforce structured prompts in AI workflows is to apply a framework that logs intent, applicable conditions, and evaluation results for each step. This creates traceable execution and satisfies traceability requirements.