Prose Clarity Reviser

Revise dense, unclear prose into clear, readable sentences by applying four diagnostic principles — characters-as-subjects, actions-as-verbs, old-before-new information flow, and complexity-last sentence endings. Use this skill whenever the user shares a draft passage, paragraph, or document and asks you to make it clearer, more readable, easier to follow, less dense, less academic-sounding, or better written — even if they don't use those words. Also triggers on: "can you revise this," "this feels clunky," "my advisor said this is unclear," "make this flow better," "my writing sounds stilted," or any request to improve prose style in research papers, reports, essays, grant proposals, or professional documents. Apply all four principles end-to-end; return a revised version with brief annotations showing what changed and why.

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Install

Claude CodeClawhHubnpxCursorCodexGemini CLI

1. Add marketplace

› /plugin marketplace add bookforge-ai/bookforge-skills

2. Install plugin

› /plugin install the-craft-of-research@bookforge-skills

3. Use the skill

› /prose-clarity-reviser

CC-BY-SA · Open sourceGitHub

Source Book

The Craft of Research, Fourth Edition

Wayne C. Booth, Gregory G. Colomb, Joseph M. Williams, Joseph Bizup, and William T. FitzGerald

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Argument Organization Reviser

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Anticipate, acknowledge, and respond to reader objections and alternative views in a research argument. Use this skill when the user has a draft argument or storyboard and needs to identify which objections readers will predictably raise, wants to decide which objections to acknowledge and which to set aside, needs vocabulary and sentence templates for introducing and responding to counterarguments without weakening their position, has discovered a flaw in their argument and does not know how to handle it honestly, is building a cause-and-effect argument and needs to address competing causes, has made claims with counterexamples that readers will invoke, uses key terms that readers may define differently and needs to address definitional scope, or wants to avoid either ignoring objections (seeming ignorant) or acknowledging too many (losing argumentative focus). This skill is the detailed companion to research-argument-builder — use it after assembling the argument's core structure (claim, reasons, evidence) and before drafting, to map every acknowledgment slot with a calibrated response strategy.

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Select the correct graphic type (table, bar chart, line graph) for a dataset and rhetorical goal, then design and frame it to communicate evidence clearly and honestly. Use this skill whenever the user needs to present quantitative data in a research paper, report, thesis, presentation, or professional document and asks: which chart should I use, how should I visualize this data, how do I make this graphic clearer, is my chart misleading, how do I label or title a table or figure, or how do I introduce a graphic in text. Also triggers on: "my advisor said the table is confusing," "should I use a bar chart or line graph," "how do I make readers see my point in this figure," "is this graph ethical," "my chart looks amateurish," "the scale on my graph looks off," or any request to improve the visual communication of numerical evidence. Covers the full workflow: verbal-vs-visual decision → graphic type selection based on rhetorical effect → design simplification → framing with title, intro sentence, and labels → ethical integrity checks.

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