Prompt Engineering
Comprehensive guide for LLM prompt engineering techniques and best practices. Prompt engineering is the art and science of crafting effective prompts to elicit desired outputs from language models.
npx skills add majiayu000/claude-skill-registry --skill prompt-engineering-amnadtaowsoam-cerebraskills --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 Engineering ## Skill Profile *(Select at least one profile to enable specific modules)* - [ ] **DevOps** - [x] **Backend** - [ ] **Frontend** - [ ] **AI-RAG** - [ ] **Security Critical** ## Overview Comprehensive guide for LLM prompt engineering techniques and best practices. Prompt engineering is the art and science of crafting effective prompts to elicit desired outputs from language models. ## Why This Matters Prompt engineering is critical for: - **Performance**: Well-crafted prompts reduce inference time and cost - **Accuracy**: Clear instructions improve output quality - **Consistency**: Standardized prompts ensure predictable behavior - **Cost Optimization**: Efficient prompts reduce token usage - **Maintainability**: Reusable templates are easier to maintain - **Model Flexibility**: Good prompts work across different models --- ## Core Concepts & Rules ### 1. Core Principles - Follow established patterns and conventions - Maintain consistency across codebase - Document decisions and trade-offs ### 2. Implementation Guidelines - Start with the simplest viable solution - Iterate based on feedback and requirements - Test thoroughly before deployment ## Inputs / Output
- Skill Profile
- Overview
- Why This Matters
- Core Concepts & Rules
- 1. Core Principles
- 2. Implementation Guidelines
- Inputs / Outputs / Contracts
- Skill Composition
- Quick Start / Implementation Example
- Assumptions
- Compatibility & Prerequisites
- Test Scenario Matrix (QA Strategy)
- Technical Guardrails & Security Threat Model
- 1. Security & Privacy (Threat Model)
What does the Prompt Engineering skill do?
Comprehensive guide for LLM prompt engineering techniques and best practices. Prompt engineering is the art and science of crafting effective prompts to elicit desired outputs from language models.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prompt-engineering-amnadtaowsoam-cerebraskills --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.