Why does this skill have a 500-token limit?

The limit ensures that project requirements do not consume too much of Claude's context window, leaving more room for actual code generation and complex logic in later phases.

Does this skill support prose explanations?

No, Phase 1 Lite strictly forbids prose and explanations to maintain maximum efficiency and data density for the AI.

What is the TOON format used in this skill?

TOON is a specialized, table-like data structure used by the Aura Frog plugin to represent information concisely without the overhead of JSON or Markdown prose.

How do I trigger the Phase 1 Lite workflow?

You can activate the skill by using the command /workflow:phase1-lite or by simply typing 'phase 1 lite' in Claude Code.

Can I use Phase 1 Lite as a standalone tool?

Yes, while designed as part of the Aura Frog workflow, it functions perfectly as a standalone skill for anyone needing minimal, structured requirements.

Phase 1 Lite: Ultra-Compact Requirements

Name: Phase 1 Lite: Ultra-Compact Requirements
Author: nguyenthienthanh

bynguyenthienthanh

•

Productivity & Workflow

Streamlines project requirements gathering into a high-density, token-efficient format for faster AI development cycles.

About

Phase 1 Lite is a specialized requirements analysis skill for Claude Code that enforces a strict 500-token limit to minimize context window bloat while maintaining project clarity. It replaces verbose documentation with structured 'TOON' tables that capture scope, acceptance criteria, technical constraints, and risks in a standardized, machine-readable format. This skill is ideal for developers following the Aura Frog 9-phase TDD workflow who need to establish project guardrails quickly without wasting valuable prompt real estate on lengthy prose.

Key Features

High-density TOON table formatting for machine-readable data
Categorized scope mapping with built-in priority levels
Strict 500-token hard cap to preserve context window length
3 GitHub stars
Testable acceptance criteria generation for TDD workflows
Automated technical constraint and risk identification

Use Cases

Creating minimal, structured documentation for bug fixes and patches
Initializing the first stage of the Aura Frog structured development process
Defining feature scope quickly before starting a development sprint

About

Key Features

High-density TOON table formatting for machine-readable data
Categorized scope mapping with built-in priority levels
Strict 500-token hard cap to preserve context window length
3 GitHub stars
Testable acceptance criteria generation for TDD workflows
Automated technical constraint and risk identification

Use Cases

Creating minimal, structured documentation for bug fixes and patches
Initializing the first stage of the Aura Frog structured development process
Defining feature scope quickly before starting a development sprint