A professional utility that transforms ambiguous user requests into actionable, structured prompts based on a rigorous four-element framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prompt-improve
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-improve 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 Refiner?
The Prompt Refiner is a specialized tool within the ecosystem of Openclaw Skills designed to solve the problem of vague or underspecified AI requests. It acts as a cognitive bridge, translating informal human language into high-precision technical instructions. By utilizing a standardized framework, it ensures that AI models receive clear roles, explicit tasks, detailed context, and measurable constraints.
This skill is built on the philosophy of prompt purity. It does not attempt to execute code or modify files; instead, it focuses entirely on the architecture of the instruction itself. This allows users to generate professional-grade prompt templates that can be used across various AI platforms, ensuring consistency and high-quality results in every interaction.
Prompt Refiner Use Cases
- Translating minimal context requests like help me write a script into detailed technical specifications.
- Refining vague optimization goals such as make my website better into measurable SEO and performance tasks.
- Standardizing requirements for complex software architecture analysis.
- Converting informal, mixed-language user input into professional engineering documentation.
- Creating a clear success criteria and boundary definition for open-ended creative or technical projects.
How Prompt Refiner Works
- Input Analysis: The skill captures raw user input and identifies the underlying core task.
- Element Inference: It automatically deduces appropriate professional roles and relevant environmental context based on identified patterns.
- Template Mapping: The gathered information is structured into a four-pillar framework: Role Setting, Task Description, Context Information, and Constraints.
- Output Generation: It produces a complete, Markdown-formatted prompt ready for deployment or further iteration.
Prompt Refiner Setup
To integrate this skill into your local environment, ensure you have the Openclaw Skills manager installed. Use the following commands to get started:
# Navigate to your agent's skill directory
cd ~/.openclaw/skills
# Install the Prompt Refiner skill
openclaw install prompt-refiner
# Verify the installation and check current configuration
openclaw info prompt-refiner
Prompt Refiner Data Schema & Taxonomy
The Prompt Refiner organizes its output into a highly structured metadata taxonomy to ensure maximum readability for AI models:
| Component | Description | Examples |
|---|---|---|
| Role Setting | Specifies the professional domain and expert persona. | Software Architect, Data Analyst |
| Task Description | Defines specific deliverables and primary goals. | Create a Python script, Analyze SQL queries |
| Context Info | Covers background, tech stack, and stakeholders. | MySQL 8.0, Windows environment, sales team |
| Constraints | Sets rules, formats, and success metrics. | Response under 500ms, PDF export, O(n) complexity |
Prompt Refiner Advanced Features
- Multi-Step Task Decomposition: Breaks complex, overwhelming requests into manageable logical phases.
- Chain-of-Thought (CoT) Prompting: Automatically inserts instructions to force the model to show its reasoning logic.
- Measurable KPI Conversion: Replaces vague terms like fast or efficient with concrete technical benchmarks.
- Iterative Refinement Cycle: Designed to support a generate-feedback-optimize workflow for continuous prompt improvement.
SKILL.md
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