An AI-driven discovery tool that leverages the watcha.cn API to find, evaluate, and recommend AI products based on community sentiment and technical specifications.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install watcha-finder
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 watcha-finder 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 Watcha AI Product Finder?
The Watcha AI Product Finder is a specialized tool designed to navigate the vast landscape of artificial intelligence software. By interfacing directly with the watcha.cn platform, this skill allows users to access a database of over 1000 AI products, ranging from general assistants to niche coding tools. It is a powerful addition to the Openclaw Skills library, focusing on providing objective assessments rather than just following popularity trends.
This skill is particularly effective at uncovering high-quality tools that may not yet have mainstream recognition. It analyzes complex data points such as review depth, community discussion volume, and specific platform tags to help users find the perfect fit for their technical requirements and regional needs.
Watcha AI Product Finder Use Cases
- Finding the best AI video generators or image creation tools based on verified user reviews.
- Identifying specialized AI coding assistants that support specific CLI or desktop environments.
- Researching Chinese AI products and comparing them with global alternatives for specific use cases.
- Discovering free or freemium AI tools by filtering through pricing and platform tags.
- Evaluating the genuine quality of a trending AI app by analyzing long-form community feedback and sentiment.
How Watcha AI Product Finder Works
- The skill identifies user requirements such as the specific problem to be solved, preferred platform, and budget constraints.
- It executes multi-strategy searches using English and Chinese keywords via the watcha.cn API.
- Search results are filtered by category IDs and tag IDs to ensure high relevance to the user's request.
- It performs a deep-dive on shortlisted candidates, fetching full product descriptions and extracting text from nested review structures.
- The skill cross-references community data with external web searches to validate the current status and performance of the tool.
- Finally, it synthesizes a comprehensive recommendation that highlights pros, cons, and specific target audiences.
Watcha AI Product Finder Setup
To integrate this functionality into your workflow, ensure your agent has access to the Openclaw Skills repository. The skill communicates with the watcha.cn API endpoints using standard JSON headers.
# Ensure your environment can reach the following endpoint
# https://watcha.cn/api/v2/
# Configure headers for origin and referer as specified in the SKILL.md
Watcha AI Product Finder Data Schema & Taxonomy
The skill organizes product data into a structured format for easy comparison and analysis. Below is the primary data taxonomy used when interacting with the API:
| Component | Description |
|---|---|
stats.score |
The aggregate user rating (most reliable when review count > 10). |
category_ids |
Numerical identifiers for domains like Coding (6), Writing (2), or Research (9). |
tag_ids |
Identifiers for deployment forms such as Web (4), Mobile (5), or CLI (3). |
content.content |
The raw text nodes extracted from community reviews. |
hot_score |
A metric representing real-time trending momentum and hype. |
website_url |
The verified official URL for the AI product. |
Watcha AI Product Finder Advanced Features
- Multi-lingual keyword support to bridge the gap between English and Chinese AI ecosystems.
- Intelligent fallback mechanisms that switch to category browsing when exact-match searches yield no results.
- Sentiment weight calculation that prioritizes detailed, long-form reviews over simple upvotes or invite-code requests.
- Deep-tree parsing for extracting structured text from complex, nested JSON review objects.
- Automated cross-referencing capabilities to supplement API data with real-time web search insights from other Openclaw Skills.
SKILL.md
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