Getting Feedback

What problem does it solve?

This Skill automates the process of gathering structured feedback on blog post ideas, drafts, or specific questions from specialized subagents (legal tech blog reviewer, corporate lawyer reviewer). It helps improve content quality, identify areas of disagreement, and ensure the content resonates with its target audience, saving the user time in manual review coordination and ensuring high-quality output.

Core Features & Use Cases

• Multi-Agent Review: Leverages different subagent perspectives (e.g., legal tech, corporate lawyer) to provide comprehensive and balanced feedback.
• Structured Feedback Report: Summarizes reviewer consensus, primary areas of disagreement, and specific recommendations for improvement.
• Iterative Improvement: Facilitates follow-up questions and revisions based on reviewer input, guiding the content towards perfection.
• Use Case: A user has a draft section of a post on "AI in M&A due diligence." This Skill can send it to the reviewers to get insights on clarity, accuracy, and relevance from both a legal tech and corporate lawyer perspective, guiding further edits and ensuring the content is robust.

Quick Start

Activate the skill and provide the content or question for feedback

claude use getting-feedback --content "Is this a good way to end the post? I've attached the full draft."

Claude will then engage the subagents and present a summary of their feedback,

including consensus, disagreements, and specific recommendations.

You can then iterate by providing revised content or asking follow-up questions to the reviewers.