Agent skill · AI & Agents

prompt-engineering

Prompt engineering knowledge base for designing prompts, evaluating them, reviewing AI-facing assets, and improving safety, structure, and reliability.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-engineering-avav25-ai-assets-2 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/ai-llm/prompt-engineering-avav25-ai-assets-2/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

# Prompt Engineering Use this skill when designing or reviewing prompts, AI assets, or LLM-facing workflows. ## Use Cases - Prompt design - Prompt review - AI asset review - Evaluation design - Prompt security review ## Companion Resources - `technique-guide.md` - `prompt-template-patterns.md` - `security-checklist.md` - `eval-and-testing-guide.md` ## Integration - Works well with `context-engineering`, `ai-assets`, and `asset-validation`

What's inside
Steps it walks through
  1. Use Cases
  2. Companion Resources
  3. Integration
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-engineering skill do?

Prompt engineering knowledge base for designing prompts, evaluating them, reviewing AI-facing assets, and improving safety, structure, and reliability.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-engineering-avav25-ai-assets-2 --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.

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