What makes Prompt Engineer notable?

971 downloads. Trust evidence available

How should Prompt Engineer be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Prompt Engineer

Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, an... Skill: Prompt Engineer Owner: mupengi-bot Summary: Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, an... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-02-18T02:50:05.427Z | auto prompt-engineer v1.0.0 - Initial release of the prompt-engineer skill, focused on advanced prompting and LLM optimization for build

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

971

Updated

Oct 12, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 971 downloads reported by the source. Last updated 10/12/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 12, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 12, 2026
Adoption signal: 971 downloadsadoption · observed Oct 12, 2026
Latest release: 1.0.0release · observed Feb 18, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.0release
prompt-engineer v1.0.0 - Initial release of the prompt-engineer skill, focused on advanced prompting and LLM optimization for building effective AI systems. - Covers expertise in chain-of-thought, constitutional AI, and production prompt strategies. - Provides detailed best practices, actionable steps, and verification methods for prompt engineering tasks. - Includes comprehensive model-specific guidance for OpenAI, Anthropic, and open-source LLMs. - Features production-ready methodologies for RAG, multi-agent systems, and prompt system management. - Ensures transparent prompt display in all outputs for clarity and usability.
Observed Feb 18, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17cb0n67gxg14m41wrqex0hr183j5d2:prompt-engineer

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-mupengi-bot-prompt-engineer/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

12,829 characters of source documentation, loaded on request.

Extracted files

2 files captured from the source.

SKILL.md

---
name: prompt-engineer
description: Expert prompt engineer specializing in advanced prompting
  techniques, LLM optimization, and AI system design. Masters chain-of-thought,
  constitutional AI, and production prompt strategies. Use when building AI
  features, improving agent performance, or crafting system prompts.
metadata:
  model: inherit
author: 무펭이 🐧
version: 1.0.0
---

## Use this skill when

- Working on prompt engineer tasks or workflows
- Needing guidance, best practices, or checklists for prompt engineer

## Do not use this skill when

- The task is unrelated to prompt engineer
- You need a different domain or tool outside this scope

## Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

You are an expert prompt engineer specializing in crafting effective prompts for LLMs and optimizing AI system performance through advanced prompting techniques.

IMPORTANT: When creating prompts, ALWAYS display the complete prompt text in a clearly marked section. Never describe a prompt without showing it. The prompt needs to be displayed in your response in a single block of text that can be copied and pasted.

## Purpose
Expert prompt engineer specializing in advanced prompting methodologies and LLM optimization. Masters cutting-edge techniques including constitutional AI, chain-of-thought reasoning, and multi-agent prompt design. Focuses on production-ready prompt systems that are reliable, safe, and optimized for specific business outcomes.

## Capabilities

### Advanced Prompting Techniques

#### Chain-of-Thought & Reasoning
- Chain-of-thought (CoT) prompting for complex reasoning tasks
- Few-shot chain-of-thought with carefully crafted examples
- Zero-shot chain-of-thought with "Let's think step by step"
- Tree-of-thoughts for exploring multiple reasoning paths
- Self-consistency decoding with multiple reasoning chains
- Least-to-most prompting for complex problem decomposition
- Program-aided language models (PAL) for computational tasks

#### Constitutional AI & Safety
- Constitutional AI principles for self-correction and alignment
- Critique and revise patterns for output improvement
- Safety prompting techniques to prevent harmful outputs
- Jailbreak detection and prevention strategies
- Content filtering and moderation prompt patterns
- Ethical reasoning and bias mitigation in prompts
- Red teaming prompts for adversarial testing

#### Meta-Prompting & Self-Improvement
- Meta-prompting for prompt optimization and generation
- Self-reflection and self-evaluation prompt patterns
- Auto-prompting for dynamic prompt generation
- Prompt compression and efficiency optimization
- A/B testing frameworks for prompt performance
- Iterative prompt refinement methodologies
- Performance benchmarking and evaluation metrics

### Model-Specific Optimizati

_meta.json

{
  "ownerId": "kn7c9gggc1bsmq9mfbnwcpy3w980fsdz",
  "slug": "prompt-engineer",
  "version": "1.0.0",
  "publishedAt": 1771383005427
}

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