Review Recipient
Identifies and extracts recipient details from documents using advanced OCR and AI analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add review-recipient npx -- -y @trustedskills/review-recipient
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"review-recipient": {
"command": "npx",
"args": [
"-y",
"@trustedskills/review-recipient"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The review-recipient skill allows an AI agent to process and understand feedback received from a reviewer. It can extract key points, categorize sentiments (positive, negative, neutral), and summarize the overall assessment of a piece of work or performance. This helps users quickly grasp the essence of reviews without needing to read lengthy text.
When to use it
- Summarizing customer feedback: Quickly understand common themes from online product reviews.
- Analyzing employee performance reviews: Extract key areas for improvement and strengths from formal assessments.
- Processing academic paper reviews: Identify recurring suggestions for revisions from peer reviewers.
- Evaluating creative work: Get a concise overview of critiques on artwork, writing samples, or design prototypes.
Key capabilities
- Sentiment analysis (positive, negative, neutral)
- Key point extraction
- Review summarization
Example prompts
- "Summarize this review: [paste review text]"
- "What are the main points and sentiment of this feedback?"
- "Extract key suggestions for improvement from this reviewer's comments."
Tips & gotchas
The quality of the summary depends heavily on the clarity and detail provided in the original review. Very short or vague reviews may yield less informative results.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.