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Prompt Engineering
by
Tyler Snyder
· GitHub ↗
· v1.0.0
322
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0
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Install in OpenClaw
/install prompt-engineet
Description
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Usage Guidance
This appears to be a coherent, documentation-only prompt-engineering skill and is safe from a privilege/credential perspective. Before installing: (1) skim the README/SKILL.md to confirm it matches your expectations, (2) do not paste secrets, API keys, or private documents into prompts when testing, and (3) if you integrate it with your Agent SDK or Files API, supply credentials only to the SDK/environment — the skill itself does not need them. If you see later versions requesting env vars, downloads, or commands that read system files or contact unknown URLs, treat that as a red flag and re-evaluate.
Capability Analysis
Type: OpenClaw Skill
Name: prompt-engineet
Version: 1.0.0
This skill bundle is a comprehensive educational and advisory resource for prompt engineering, providing detailed guides, best practices, and examples across multiple markdown files (e.g., CLAUDE.md, docs/BEST_PRACTICES.md, docs/TECHNIQUES.md). The content is strictly focused on its stated purpose of helping users refine AI prompts and design agent instructions, with no evidence of malicious code, data exfiltration, or harmful prompt injection attempts.
Capability Assessment
Purpose & Capability
The name/description (prompt engineering expert) match the provided files (SKILL.md, README, BEST_PRACTICES, TECHNIQUES, EXAMPLES). There are no unrelated requirements (no cloud credentials, no platform binaries) that would be incoherent for this kind of skill.
Instruction Scope
Runtime instructions are documentation and examples for crafting and evaluating prompts. They do not instruct the agent to read system files, exfiltrate data, call arbitrary external endpoints, or access credentials. Integration notes mention using Agent SDK/Files API for legitimate workflows but the skill does not include steps that would automatically transmit data.
Install Mechanism
There is no install spec and no code files to execute — this is instruction-only documentation, which is the lowest-risk install profile.
Credentials
The skill requests no environment variables, credentials, or config paths. Sample snippets reference the Anthropic client but don't require the skill to store or access secrets itself.
Persistence & Privilege
The skill does not request always:true and makes no claims about modifying other skills or system-wide settings. It is user-invocable and does not request elevated or persistent privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prompt-engineet - After installation, invoke the skill by name or use
/prompt-engineet - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Prompt Engineering Expert skill.
- Provides advanced guidance on prompt writing, optimization, and best practices.
- Supports custom instructions design for AI agents and specialized use cases.
- Includes tools for prompt evaluation, anti-pattern recognition, and performance debugging.
- Covers advanced techniques such as chain-of-thought, few-shot, role-based, and multimodal prompting.
Metadata
Frequently Asked Questions
What is Prompt Engineering?
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents. It is an AI Agent Skill for Claude Code / OpenClaw, with 322 downloads so far.
How do I install Prompt Engineering?
Run "/install prompt-engineet" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Prompt Engineering free?
Yes, Prompt Engineering is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Prompt Engineering support?
Prompt Engineering is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Prompt Engineering?
It is built and maintained by Tyler Snyder (@tysnyder); the current version is v1.0.0.
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