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.
npx skills add majiayu000/claude-skill-registry --skill prompt-architect-dnyoussef-ai-chrome-extension --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Overview
- When to Use This Skill
- Core Prompt Analysis Framework
- Intent and Clarity Assessment
- Structural Organization Analysis
- Context Sufficiency Evaluation
- Technique Application Review
- Failure Mode Detection
- Formatting and Accessibility
- Prompt Refinement Methodology
- 1. Clarify Core Intent First
- 2. Restructure for Attention and Flow
- 3. Add Necessary Context
- 4. Apply Evidence-Based Techniques
What does the prompt-architect skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prompt-architect-dnyoussef-ai-chrome-extension --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.