Automating Editorial Feedback: A New Claude Skill for Document Review
Coverage of lessw-blog
A recent post on LessWrong details a custom implementation for Anthropic's Claude, enabling it to provide inline comments and structural critiques on Microsoft Word documents.
In a recent post, lessw-blog outlines a specific methodology for transforming Anthropic’s Claude into a more effective editorial assistant. The article, titled "A Claude Skill To Comment On Docs," provides a technical blueprint for users looking to extract high-quality, inline feedback from AI, rather than simple text generation or summarization.
As Large Language Models (LLMs) integrate deeper into productivity workflows, the distinction between "writer" and "editor" becomes increasingly relevant. While many users rely on AI to draft content, the capacity for these models to critique logic, structure, and tone remains an underutilized frontier. This post addresses that gap by introducing a custom "skill"—a combination of specific prompt instructions and scripting—that allows Claude to insert comments directly into Microsoft Word documents, mimicking the "Track Changes" experience found in traditional editing.
The proposed workflow, while described by the author as somewhat manual, represents a significant step toward agentic behavior in document processing. Currently, the tool supports Word documents natively. Users working in Google Docs must convert their files to Word format before uploading them to Claude.ai or a local Claude instance. Alternatively, users can copy-paste content directly into the interface and direct the model to apply the skill's instructions. Despite this friction, the author argues that the quality of the output justifies the extra steps. The system is designed to provide "good comments," particularly useful for early-stage drafts where structural or conceptual feedback is more valuable than simple line editing.
The significance of this development lies in its alignment with the broader "DevTools - Agents" category. It demonstrates how power users are beginning to build micro-utilities on top of general-purpose models to solve specific pain points. The post includes the specific instructions required to prime Claude for this task, as well as the necessary scripts to facilitate the insertion of comments. It also provides an example involving "abstract analogies for scheming," demonstrating the tool's ability to handle complex, abstract subject matter.
For developers and content creators, this highlights the potential of treating LLMs not just as chatbots, but as components in a larger document processing pipeline. The ability to automate the "first pass" of an editorial review can significantly streamline content production, allowing human editors to focus on nuance rather than basic structural integrity.
To access the scripts and detailed instructions for implementing this workflow, we recommend reading the full analysis.
Read the full post at LessWrong
Key Takeaways
- The post introduces a custom 'skill' that enables Claude to add inline comments to documents.
- The workflow is optimized for Microsoft Word but includes workarounds for Google Docs users.
- The system focuses on high-level editorial feedback suitable for early-stage drafts.
- Includes specific prompt instructions and scripts for immediate implementation.
- Demonstrates the practical application of AI agents in enhancing editorial productivity.