Agent skill · writing content · aiskillstore
prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-based prompt engineering techniques. Applies structural optimization, self-consistency patterns, and anti-pattern detection to transform prompts into highly effective versions.
Why this skill is useful
Provides a systematic framework for prompt engineering that includes evidence-based techniques and anti-pattern detection, which the AI may not generate on its own.
What it needs
About 9k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Prompt Architect A comprehensive framework for creating, analyzing, and refining prompts for AI language models using evidence-based techniques, structural optimization principles, and systematic anti-pattern detection. Overview Prompt Architect provides a systematic approach to prompt engineering that combines research-backed techniques with practical experience. Whether crafting prompts for Claude, ChatGPT, Gemini, or other systems, this skill applies proven patterns that consistently produce high-quality responses. This skill is particularly valuable for developing prompts used repeatedly, troubleshooting prompts that aren't performing well, building prompt templates for teams, or optimizing high-stakes tasks where prompt quality significantly impacts outcomes. When to Use This Skill Apply Prompt Architect when: Creating new prompts for AI systems that will be used repeatedly or programmatically Improving existing prompts that produce inconsistent or suboptimal results Building prompt libraries or templates for team use Teaching others about effective prompt engineering Working on complex tasks where prompt quality substantially impacts outcomes Debugging why a prompt isn't working as expected This skill focuses on prompts as engineered artifacts rather than casual conversational queries. The assumption is you're creating prompts that provide compounding value through repeated or systematic use. Core Prompt Analysis Framework When analyzing existing prompts, apply systematic evaluation across these dimensions: Intent and Clarity Assessment Evaluate whether the prompt clearly communicates its core objective. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/prompt-architect