positive-framing-patterns

Transform NEVER/DON'T instructions into positive ALWAYS/DO guidance for LLM prompts.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/metasaver/claude-marketplace --skill positive-framing-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: positive-framing-patterns
Source: https://github.com/metasaver/claude-marketplace/tree/main/plugins/metasaver-core/skills/cross-cutting/positive-framing-patterns
Command: npx skills add https://github.com/metasaver/claude-marketplace --skill positive-framing-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps transform NEVER/DON'T statements into ALWAYS/DO patterns to improve clarity, compliance, and effectiveness of prompts and instructions for LLMs.

Core Features & Use Cases

  • Pattern Catalog: 20+ before/after examples to guide prompt design
  • Decision Tree for Tone: Helps users select the appropriate tone
  • Psychology-Backed Guidance: Evidence-based tips for effective instruction design
  • Use Cases: Writing agent prompts, refactoring docs, optimizing triggers

Quick Start

Provide a negated instruction (e.g., "NEVER edit files without reading them first") and have this skill generate a positive alternative (e.g., "ALWAYS read files before editing").

Frequently Asked Questions about positive-framing-patterns

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

FAQPage Schema
How do I reframe negative instructions into positive prompts for LLMs?

Positive framing transforms NEVER/DON'T statements into ALWAYS/DO patterns. Instead of "don't edit files without reading," use "always read files before editing." This shifts LLM focus from prohibitions to concrete actions, improving comprehension and compliance across agent prompts and documentation.

Why does positive framing matter for prompt engineering?

LLMs respond better to affirmative guidance than negations. Positive framing reduces ambiguity, makes instructions actionable, and establishes explicit expectations. This technique is backed by evidence showing improved instruction clarity, stronger compliance, and more reliable LLM behavior across workflows and trigger descriptions.

Can I use positive framing patterns to refactor existing documentation?

Yes. Positive framing applies to authoring new agent prompts, refactoring existing docs, and optimizing trigger descriptions across prompts, skills, and workflows. The Skill includes 20+ before/after examples and a decision tree to help you convert warnings, recommendations, and prohibitions into prescriptive guidance.

What types of instructions does positive framing convert?

Positive framing handles pattern-based transformations including commands, prohibitions to prescriptions, warnings to guidance, and recommendations. It covers defined scope boundaries and helps satisfy functional requirements for affirmative tone, concrete actions, and constructiveness in instruction design.

How do I choose the right tone when converting instructions?

The Skill includes a decision tree for tone selection to match your context. Psychology-backed guidance helps you pick appropriate framing—whether direct imperative, conditional guidance, or collaborative suggestion—ensuring your converted instructions align with your communication goals and LLM expectations.