A precision tool designed to refine and align prompts with Claude's constitutional AI and reinforcement learning patterns.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claude-prompt-optimizer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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.
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 |
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