Claude Prompt Optimizer for Openclaw

A precision tool designed to refine and align prompts with Claude's constitutional AI and reinforcement learning patterns.

mosonchan2023
v1.0.0
Mar 5, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install claude-prompt-optimizer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install claude-prompt-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Claude Prompt Optimizer?

The Claude Prompt Optimizer is a specialized utility within the Openclaw Skills ecosystem that transforms raw instructions into high-performance prompts. By analyzing the nuances of Claude's unique architectural constraints, such as constitutional AI and reinforcement learning from human feedback (RLHF), this skill ensures your queries are interpreted with maximum precision. It focuses on clarity, specificity, and structural integrity to help developers get the most out of their AI interactions.

Using this skill allows you to automate the tedious process of manual prompt engineering. Whether you are building complex agents or simple automated workflows, integrating this tool from the Openclaw Skills library ensures that your instructions are consistently optimized for long context windows and accurate reasoning.

Claude Prompt Optimizer Use Cases

  • Improving model accuracy for complex logical reasoning and technical explanations.
  • Reducing model hallucinations by providing clearer boundaries and instructions.
  • Generating consistent structured outputs like JSON or Markdown for downstream processing.
  • Optimizing context structure to make the most of Claude's extensive context window.

How Claude Prompt Optimizer Works

  1. The user submits a JSON payload containing the original prompt and the specific goal of the interaction.
  2. The skill processes the input against known RLHF and constitutional AI optimization patterns.
  3. A rewritten, optimized prompt is generated, often including few-shot examples and refined context.
  4. The system processes a micro-transaction of 0.001 USDT via the SkillPay.me integration.
  5. The optimized prompt is returned to the user, ready for immediate deployment in an AI agent or workflow.

Claude Prompt Optimizer Setup

To start using this tool from the Openclaw Skills collection, ensure your environment is configured for API calls and your payment method is active.

# Example of how to structure a request to the optimizer
curl -X POST https://api.openclaw.example/v1/skills/claude-optimizer \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain quantum physics", "goal": "Teach a 5 year old"}'

Ensure your SkillPay.me account is funded to handle the 0.001 USDT per call fee.

Claude Prompt Optimizer Data Schema & Taxonomy

The skill utilizes a simple but effective data schema to manage the transformation of prompts. Below is the mapping of the input and output structures:

Attribute Description Type
prompt The original raw text or instruction provided by the user. String
goal The specific objective the optimized prompt must achieve. String
success Indicates if the optimization process was completed. Boolean
optimized_prompt The final, refined version of the prompt designed for Claude. String
message Status message regarding the optimization result. String

Claude Prompt Optimizer Advanced Features

  • Constitutional AI Alignment: Automatically adjusts instructions to respect Claude's safety and logic frameworks.
  • Few-Shot Generation: Dynamically suggests relevant examples to guide model behavior in complex tasks.
  • Micropayment Integration: Built-in support for SkillPay.me ensures seamless utility billing for high-volume Openclaw Skills users.
  • Context Window Optimization: Specifically structures data to maintain instruction following across long-form inputs.

SKILL.md


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