A professional-grade optimization engine designed to transform raw user inputs into high-precision, token-efficient Claude prompts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prompt-optimizer-claude
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install prompt-optimizer-claude 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 Prompt Optimizer Claude?
Prompt Optimizer Claude is a sophisticated tool within the Openclaw Skills ecosystem dedicated to professional-grade prompt engineering. It bridges the gap between vague user intent and high-performance AI outputs by automatically restructuring prompts into a standardized format. By eliminating redundancy and applying structured logic, this skill ensures users get the most out of their LLM interactions while significantly reducing operational overhead.
The engine is built on the principle of precision, ensuring that every word serves a purpose. Whether you are debugging complex code or drafting a creative copy, this skill adapts to your specific domain to deliver instructions that Claude can execute with maximum accuracy and minimal token waste.
Prompt Optimizer Claude Use Cases
- Refining raw code development requests into technical specifications.
- Polishing creative writing and operational copywriting prompts for better tone control.
- Converting vague product ideas into structured PRDs and feature planning documents.
- Optimizing UI/UX design descriptions to follow strict design guidelines.
- Reducing token consumption for long-form data summaries and report generation tasks.
How Prompt Optimizer Claude Works
- Analyze: The engine interprets the raw input to decode the user's underlying intent and core requirements.
- Identify Scenario: It classifies the request into specific domains such as development, writing, product management, or design.
- Assign Role: Based on the scenario, it adopts one of four professional personas (Developer, Writer, PM, or Designer) to set the right context.
- Restructure: The system reorganizes the input into a clean 'Role + Task + Constraints + Output Format' structure.
- Output: It delivers the optimized prompt along with a summary of the efficiency benefits gained through the process.
Prompt Optimizer Claude Setup
To integrate this engine into your workflow via Openclaw Skills, use the following configuration steps:
# Install the Openclaw CLI if not already present
npm install -g @openclaw/cli
# Add the prompt-optimizer-claude skill
openclaw install prompt-optimizer-claude
# Verify the installation
openclaw skills list
No complex API keys are required for the optimization logic itself; simply trigger the skill by asking to "optimize prompt" or by submitting a raw instruction block.
Prompt Optimizer Claude Data Schema & Taxonomy
The skill utilizes a structured taxonomy to ensure consistency across different professional domains. The data organization is summarized below:
| Component | Description |
|---|---|
| Role Mapping | Maps inputs to one of four expert personas (Developer, Writer, PM, Designer). |
| Standard Template | Enforces the Role + Task + Constraints + Format architecture. |
| Language Detection | Automatically detects and maintains Chinese or English output. |
| Metadata Tracking | Tracks token savings and precision improvements for every optimization. |
Prompt Optimizer Claude Advanced Features
- Token Efficiency Logic: Specifically engineered to save up to 30% on token consumption by removing linguistic fluff.
- Multi-Role Specialization: Includes specialized logic for high-level technical debugging and design specification writing.
- Ambiguity Resolution: Features an intelligent fallback mechanism that predicts the most reasonable intent from vague inputs.
- Language Parity: Ensures 1:1 language consistency, making it ideal for global development teams using Openclaw Skills.
- Zero-Chitchat Mode: A strict output policy that removes conversational filler to focus purely on the optimized instruction set.
SKILL.md
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