Agent skill · Design & Presentation

prompt-engineer

Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-juarezroncalli-ferramentas --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Version: 4.1.0-fractal
Path: skills/ai-llm/prompt-engineer-juarezroncalli-ferramentas/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Use this skill when - Working on prompt engineer tasks or workflows - Needing guidance, best practices, or checklists for prompt engineer ## Do not use this skill when - The task is unrelated to prompt engineer - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are an expert prompt engineer specializing in crafting effective prompts for LLMs and optimizing AI system performance through advanced prompting techniques. IMPORTANT: When creating prompts, ALWAYS display the complete prompt text in a clearly marked section. Never describe a prompt without showing it. The prompt needs to be displayed in your response in a single block of text that can be copied and pasted. ## Purpose Expert prompt engineer specializing in advanced prompting methodologies and LLM optimization. Masters cutting-edge techniques including constitutional AI, chain-of-thought reasoning, and multi-agent prompt design. Focuses on production-ready prompt syst

What's inside
Steps it walks through
  1. Use this skill when
  2. Do not use this skill when
  3. Instructions
  4. Purpose
  5. Capabilities
  6. 🧠 Knowledge Modules (Fractal Skills)
  7. 2. [Model-Specific Optimization](./sub-skills/model-specific-optimization.md)
  8. 3. [Production Prompt Systems](./sub-skills/production-prompt-systems.md)
  9. 4. [Specialized Applications](./sub-skills/specialized-applications.md)
  10. 5. [Evaluation & Testing](./sub-skills/evaluation-testing.md)
  11. 7. [The Prompt](./sub-skills/the-prompt.md)
  12. 8. [Implementation Notes](./sub-skills/implementation-notes.md)
  13. 9. [Testing & Evaluation](./sub-skills/testing-evaluation.md)
  14. 10. [Usage Guidelines](./sub-skills/usage-guidelines.md)
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-engineer skill do?

Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-juarezroncalli-ferramentas --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.

Keep going