prompt-engineering
Prompt engineering knowledge base — technique taxonomy with decision tree, prompt template patterns and formatting conventions, OWASP LLM Top 10 security checklist, eval frameworks and testing guide, context engineering, structured output contracts, multi-agent orchestration patterns, cost optimization. Use when designing prompts, reviewing prompt quality, building AI features, creating AI assets, or auditing LLM security.
npx skills add majiayu000/claude-skill-registry --skill prompt-engineering-avav25-ai-assets-3 --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 Comprehensive prompt engineering knowledge base. Provides actionable patterns, checklists, and guides for designing, securing, evaluating, and optimizing LLM prompts and agent systems. ## When to Use - Designing or reviewing prompt templates (system, developer, user prompts) - Building tool calling schemas and structured output contracts - Evaluating prompt quality — accuracy, safety, cost, latency - Auditing LLM security against OWASP LLM Top 10 - Designing multi-agent orchestration and handoff protocols - Optimizing prompt cost and latency - Creating or reviewing Claude Code AI assets (rules, workflows, skills — all are prompts) - Setting up prompt versioning and observability ## When NOT to Use - Implementing backend/frontend code (use `Agent(software-engineer)` + stack-specific role) - Infrastructure and deployment (use `Agent(devops-engineer)`) - Writing code tests (use `Agent(qa-engineer)` + `testing-procedures` skill) - Content writing (use `Agent(content-writer)`) - Context pipeline design, memory engineering, agent harness, RAG architecture, multi-agent orchestration, production AI checklists → use `context-engineering` skill ## Key Concepts ### Prompt
- When to Use
- When NOT to Use
- Key Concepts
- Prompt as System
- Core Principles
- Resource Files
- Integration
What does the prompt-engineering skill do?
Prompt engineering knowledge base — technique taxonomy with decision tree, prompt template patterns and formatting conventions, OWASP LLM Top 10 security checklist, eval frameworks and testing guide, context engineering, structured output contracts, multi-agent orchestration patterns, cost optimization. Use when designing prompts, reviewing prompt quality, building AI features, creating AI assets, or auditing LLM security.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prompt-engineering-avav25-ai-assets-3 --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.