prompt-engineer

仓库创建 2026年7月25日最近提交 1 天前SkillHot 收录 2 小时前

▸ 精选理由

提高模型稳定性与可控性，适合所有 LLM 使用场景。

这个 Skill 做什么

设计、迭代并测试针对 LLM 的高质量提示与范例。

把和 LLM 交互的指令当成会复用的“程序”来写，帮你设计、迭代和测试 system prompt、few-shot 示例与 chain-of-thought 控制。常在需要稳定输出格式、减少幻觉或把模型当工具执行复杂任务时用。特别之处是用工程化思路去缩小模型输出分布，明确输入、约束和版本管理。

▸ 展开 SKILL.md 英文原文

Design, iterate, test, and version prompts for LLMs — system prompts, few-shot examples, chain-of-thought, structured output, and agentic tool-use prompts. Use when the user asks to write a prompt, improve an existing prompt, design a system prompt, add few-shot examples, control LLM output format, reduce hallucinations, or get better results from any AI model.

Skill 开发管理提示工程少样本格式化输出通用

Stars

Forks

仓库内 Skill

积累中

7 日增星

安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/CODE-SAURABH/OpenSkills/main/prompt-engineer/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/CODE-SAURABH/OpenSkills/main/prompt-engineer/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Prompt Engineering

Approach every prompt as a precision instrument, not a casual instruction. A prompt is a program — it has inputs, logic, constraints, and expected outputs. Write it with the same rigour you would apply to production code.

The model is a probabilistic function. Your job as a prompt engineer is to narrow the distribution of outputs to the range that is useful, correct, and safe — and to do so reliably, not just on your test cases.

---

## Prompt Engineering Principles

- **The prompt is the product.** A bad prompt that ships is a broken product. A great model with a bad prompt produces bad outputs. The prompt is as important as the model choice.
- **Test before you ship

via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有