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在 OpenClaw 中安装
/install prompt-engineering-2
功能描述
Comprehensive prompt engineering framework for designing, optimizing, and iterating LLM prompts. This skill should be used when users request prompt creation...
安全使用建议
This skill is internally consistent for teaching and performing prompt engineering: it doesn't request credentials or install anything. Before installing, consider that the instructions recommend storing prompt versions in markdown files—avoid saving prompts that contain user secrets or private data. Also note the skill source/homepage are not provided; if provenance or publisher reputation matters to you, ask for or verify the publisher before wide deployment. If you plan to use this in a production agent, restrict its file-write scope and review stored prompts for sensitive content periodically.
功能分析
Type: OpenClaw Skill
Name: prompt-engineering-2
Version: 0.1.0
The OpenClaw AgentSkills bundle 'prompt-engineering-2' is benign. All files, including SKILL.md and the various reference markdown documents, consistently focus on the stated purpose of prompt engineering. The instructions guide the AI agent on how to interact with users, understand their needs, and apply various techniques to design, optimize, and evaluate LLM prompts. There are no instructions for unauthorized actions, data exfiltration, persistence, or any other malicious behavior. The mention of storing prompts in markdown files is a functional requirement for managing the skill's output, not an indicator of malicious file system manipulation.
能力评估
Purpose & Capability
Name/description match the provided instruction content and reference materials. No unrelated binaries, env vars, or config paths are requested—requirements align with a documentation/instruction-only prompt-engineering skill.
Instruction Scope
SKILL.md and reference files contain a thorough, structured workflow for prompt creation, optimization, testing, and storage. The only operational action implied is storing prompts and version history in markdown files; this is coherent with the skill's purpose but warrants care if prompts contain sensitive data (the instructions do not discuss secret-handling or access controls).
Install Mechanism
No install spec and no code files executed at install time. Instruction-only skills carry minimal install risk because nothing is downloaded or executed by an installer.
Credentials
The skill declares no environment variables, credentials, or config paths. There are no requests for unrelated secrets—environment access is proportionate to the stated purpose.
Persistence & Privilege
Default privileges (always: false, agent-invocable allowed) are used. The skill does not request permanent presence or system-level configuration changes.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install prompt-engineering-2 - 安装完成后，直接呼叫该 Skill 的名称或使用
/prompt-engineering-2触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Initial release of the prompt-engineering skill, providing a comprehensive workflow and framework for effective LLM prompt creation and optimization.
- Introduces a structured, four-phase process: exploration, analysis, implementation, and validation.
- Includes a decision tree for handling different prompt-related user requests.
- Provides detailed guidance for both prompt creation from scratch and simple optimization of existing prompts.
- Documents core prompt engineering techniques, examples, and advanced strategies.
- Emphasizes collaborative, iterative, and educational interaction with users.
- Supplies references for further techniques, patterns, and antipatterns.
元数据
常见问题
Prompt Engineering 是什么？
Comprehensive prompt engineering framework for designing, optimizing, and iterating LLM prompts. This skill should be used when users request prompt creation... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 542 次。
如何安装 Prompt Engineering？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prompt-engineering-2」即可一键安装，无需额外配置。
Prompt Engineering 是免费的吗？
是的，Prompt Engineering 完全免费（开源免费），可自由下载、安装和使用。
Prompt Engineering 支持哪些平台？
Prompt Engineering 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Prompt Engineering？
由 kongyo2（@kongyo2）开发并维护，当前版本 v0.1.0。
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