Multi Reviewer Patterns
Identifies recurring themes and disagreements across multiple reviewer comments to highlight key areas needing attention.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add multi-reviewer-patterns npx -- -y @trustedskills/multi-reviewer-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"multi-reviewer-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/multi-reviewer-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The multi-reviewer-patterns skill enables AI agents to manage and coordinate multiple reviewers in a structured workflow. It supports assigning tasks, tracking progress, and aggregating feedback from several sources efficiently.
When to use it
- When managing peer reviews for code or documentation with multiple contributors.
- During collaborative content creation where input from various experts is required.
- For quality assurance processes that involve multiple stages of review and validation.
Key capabilities
- Assigns tasks to specific reviewers based on criteria.
- Tracks the status of each reviewer's contribution.
- Aggregates feedback into a consolidated summary.
Example prompts
- "Assign the document review task to Alice, Bob, and Charlie."
- "Track progress for all assigned reviews and send reminders if overdue."
- "Compile feedback from all reviewers into one report."
Tips & gotchas
- Ensure that all reviewers have access to the required tools or documents before assigning tasks.
- Use clear criteria when selecting reviewers to avoid confusion and ensure relevant input.
Tags
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