oa-prompting-scope

Define explicit scope and quality rules for AI agent prompts.

4|Updated Feb 26, 2026

Search Tags:#prompt engineering #ai agents #scope definition #prompting #quality rules #deterministic language

Ready to run

npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-prompting-scope

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oa-prompting-scope
Source: https://github.com/OpenAEC-Foundation/Open-Agents/tree/main/.claude/skills/oa-prompting-scope
Command: npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-prompting-scope

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users write clear, explicit, and deterministic prompts for AI agents, preventing ambiguity and ensuring agents perform tasks as intended.

Core Features & Use Cases

Explicit Scope Definition: Learn to define what is in and out of an agent's task boundaries using bullet points.
Quality Rule Implementation: Understand how to specify quality standards and conventions directly within agent prompts.
Deterministic Language: Master the use of precise language to avoid misinterpretation by AI agents.
Use Case: When instructing an agent to review code, use this Skill to ensure the prompt specifies exactly which files to check, what types of issues to flag, and the exact output format required, preventing the agent from making unprompted refactors or missing critical issues.

Quick Start

Use the oa-prompting-scope skill to define explicit scope and quality rules for an agent prompt.

Frequently Asked Questions about oa-prompting-scope

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

FAQPage Schema

How do I define scope and quality rules for AI agent prompts?▼

Defining scope and quality rules for AI agent prompts involves using deterministic language and bullet points to explicitly state task boundaries, agent roles, and adherence conventions, preventing vague instructions and misinterpretation.

Why does my AI agent perform unprompted refactors or miss critical issues?▼

An AI agent performs unprompted refactors or misses issues due to vague instructions. Specifying exact files to check, issues to flag, and output formats using deterministic scope bullets constrains the agent to the intended task.

What is deterministic language in prompt engineering?▼

Deterministic language in prompt engineering is the use of precise phrasing to eliminate ambiguity, ensuring AI agents interpret instructions exactly as intended and strictly adhere to defined scope boundaries and quality rules.

How to set task boundaries for an AI code review agent?▼

Setting task boundaries for an AI code review agent requires defining explicit scope bullets in the prompt detailing which files to check, what types of issues to flag, and the exact output format required to prevent unprompted actions.