Automatically transform Envato marketplace comments into prioritized development tasks logged directly into Google Sheets.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install envato-comment-task-to-sheet
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 envato-comment-task-to-sheet using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Envato Comment analysis skill is a specialized automation tool designed for developers and marketplace authors on ThemeForest and CodeCanyon. By utilizing the power of Openclaw Skills, this tool scans customer comments to automatically identify sentiment, technical issues, and high-priority risks. It transforms unstructured feedback into actionable data points, allowing teams to maintain product quality without manual monitoring.
This skill serves as an intelligent bridge between user feedback and project management. It ensures that every critical error or feature request is captured and logged into a central Google Sheet, enabling faster response times and better-informed update cycles.
To deploy this skill, you must provide your Envato product details and link it to your Google Sheets integration. This is part of the standard deployment for Openclaw Skills.
# Initialize the skill with your configuration
openclaw init envato-task-manager
# Test the comment analysis logic
openclaw test --input-file comment_sample.json
The skill produces a structured JSON payload designed for spreadsheet columns. Below is the metadata taxonomy used by Openclaw Skills during processing:
| Field | Description |
|---|---|
task_type |
Classification such as bug, feature_request, or refund_risk. |
priority |
Priority level ranging from low to critical. |
details |
Extracted technical context or question from the user. |
product_meta |
Product name and URL for context. |
user_info |
Customer name and optional link to the original comment. |
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