review_skill
- Python
3
GitHub Stars
3
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill masayan1126/masayan-uni-code-plugins --skill review- SKILL.md702 B
- TEMPLATES.md8.1 KB
- WORKFLOW.md3.7 KB
Overview
This skill generates professional, context-aware replies to user reviews on the Chrome Web Store for browser extensions. It handles both positive and negative feedback, crafts responses that protect reputation, and proposes actionable improvements based on review content. Use it to streamline review management and maintain consistent voice across responses.
How this skill works
The skill reads a review text and metadata (rating, date, and any developer notes) and classifies sentiment and key issues. It produces a tailored reply—thanking positive reviewers, apologizing and offering remediation for negative reviews, and proposing suggested fixes or feature changes when appropriate. It can output multiple tone options and use reply templates to ensure consistency.
When to use it
- Responding to new positive reviews quickly to encourage user retention
- Addressing negative reviews with calm, helpful remediation and escalation steps
- Batch-processing review backlogs to identify common issues and prioritize fixes
- Drafting replies that match brand voice or different communication tones
- Generating improvement suggestions and triage notes for the product team
Best practices
- Respond promptly and personalize replies with the reviewer’s points to show attention
- Acknowledge issues, offer clear next steps or workarounds, and invite private follow-up for troubleshooting
- Keep replies concise and professional; use templates but adapt key details per review
- Log recurring complaints and feed aggregated suggestions to product and QA teams
- Offer follow-up incentives (when appropriate and allowed) such as a bug-report link or beta invite
Example use cases
- Create a friendly thank-you reply for a 5-star review praising a new feature
- Generate a calm, solution-focused response to a 1–2 star review reporting a crash
- Analyze a month of reviews to surface the top three usability problems and suggested fixes
- Produce multiple tone variations (formal, casual, empathetic) for A/B testing in support replies
- Prepare triage notes that map review issues to engineering, design, or documentation tasks
FAQ
Yes. The skill supports customizable tone profiles and can adapt templates to formal, casual, or empathetic styles to match your brand guidelines.
Does it handle languages other than English?
The core skill is optimized for English reviews. It can classify and suggest replies for other languages if you provide translations, but accuracy is best in English.