A specialized AI skill that generates natural, colloquial local lifestyle reviews from photos and brief user descriptions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dianping-writer
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 dianping-writer 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 Dianping Writer?
Dianping Writer is a sophisticated content generation tool designed for the Openclaw Skills ecosystem, specifically tailored to produce authentic local reviews for platforms like Dazhong Dianping. Unlike standard AI models that often produce rigid or overly formal text, this skill employs a unique linguistic framework to ensure the output sounds human, casual, and trustworthy. It focuses on the most memorable aspects of a dining or lifestyle experience rather than following a monotonous checklist.
By leveraging advanced image recognition and inferential logic, the skill assists users in creating high-quality social proof. It prioritizes the most impactful elements of a visit—such as a specific dish or a unique service feature—and structures them into a natural flow that mirrors real consumer behavior. This makes it an essential tool for food bloggers, influencers, and regular users within the Openclaw Skills community who want to share their experiences efficiently.
Dianping Writer Use Cases
- Automatically generating detailed restaurant reviews from a gallery of food photos.
- Creating authentic-sounding social media content for local lifestyle platforms.
- Streamlining the review process for food critics and local guides using Openclaw Skills.
- Drafting balanced feedback that includes both positive highlights and realistic minor critiques.
How Dianping Writer Works
- The user provides one or more photos of dishes or the restaurant environment along with a trigger phrase like write a review.
- The skill identifies the specific dishes and atmosphere from the images using visual analysis.
- It infers the restaurant category and per-capita price range based on the recognized items.
- It prompts the user for missing qualitative data, such as the specific location, service highlights, or any minor shortcomings.
- The skill selects 3-4 key elements to focus on, ensuring the content is not overly cluttered or repetitive.
- It applies a conversational linguistic filter to remove robotic transition words and adds natural oral markers.
- Three distinct versions of the review are generated based on different structural priorities for the user to select from.
Dianping Writer Setup
To get started with this skill in your Openclaw Skills environment, ensure your agent has access to image processing capabilities.
# Integration command for the skill
openclaw install dianping-writer
Configure your preferred output language and tone settings within your agent's configuration file to ensure the colloquialisms match your local dialect requirements.
Dianping Writer Data Schema & Taxonomy
The skill organizes review data into a multi-dimensional schema to ensure variety and authenticity:
| Data Component | Description | Metadata Examples |
|---|---|---|
| Core Elements | Key attributes of the experience | Location, Price, Dish Highlights, Service |
| Linguistic Style | Casual markers and oral particles | Use of 'quite', 'their place', 'pretty good' |
| Structural Templates | Logic for organizing content | Environment-led, Price-led, Scenario-led |
| Negative Logic | Specific minor flaws to add realism | 'Few vegetable options', 'Long wait time' |
Dianping Writer Advanced Features
- Multi-modal analysis that converts visual dish data into descriptive sensory adjectives.
- Automated removal of AI-typical transition words like 'firstly' or 'overall' to maintain a human tone.
- Dynamic template switching that prevents repetitive review structures across multiple posts.
- Smart prompting system that only asks for missing information to minimize user friction in Openclaw Skills.
- Integrated 'Edge' logic that suggests minor constructive criticisms to increase the review's credibility.
SKILL.md
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