Section Logic Polisher

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by willoscar · vlatest · Repository

This tool refines Markdown sections for clearer logic and flow, improving readability and organization of your content.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add section-logic-polisher npx -- -y @trustedskills/section-logic-polisher
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "section-logic-polisher": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/section-logic-polisher"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The Section Logic Polisher refines Markdown sections to improve their logical flow and readability, specifically addressing issues that create a “paper feel” even in detailed content. It focuses on ensuring each subsection presents a clear argument with a strong thesis statement and well-connected paragraphs. This skill helps ensure the first paragraph of a section explicitly states its claim (thesis) and that transitions between paragraphs are substantive rather than just connectors.

When to use it

  • After drafting a long, citation-dense Markdown subsection.
  • When a subsection lacks a clear thesis statement in the opening paragraph.
  • To improve the flow of arguments within a section by strengthening connections between paragraphs.
  • As part of a review process before merging content.
  • When sections feel disjointed or like "paragraph islands."

Key capabilities

  • Thesis Statement Enforcement: Ensures the first paragraph ends with an explicit, clear thesis statement (content claim).
  • Logical Flow Enhancement: Improves connections between paragraphs to create a cohesive argument.
  • Content-Bearing Bridges: Rewrites empty transitions into substantive bridges that advance the argument (contrast, causation, implication).
  • Focus on Existing Content: Does not add new citations or invent facts; it refines existing content.
  • Uses Contextual Information: Leverages outline/subsection_briefs.jsonl and optionally outline/writer_context_packs.jsonl to guide the polishing process, incorporating intended thesis statements and paragraph plans.

Example prompts

While this skill operates as a local polish step rather than responding directly to prompts, relevant context can be provided through input files:

  • "Polish section S<sec>_<sub>.md using the intent from outline/subsection_briefs.jsonl."
  • "Refine section S<sec>_<sub>.md, prioritizing must_use anchors and constraints from outline/writer_context_packs.jsonl."

Tips & gotchas

  • Prerequisite: This skill is best used after a draft has been created. It's not designed to generate content from scratch.
  • Focus: The tool specifically targets thesis statements and paragraph bridges; it does not address redundancy or overall section length (use "paragraph-curator" for that).
  • Connector Word Counts as Signals: While connector word counts are tracked, avoid forcing a specific number of connectors, as this can lead to unnatural writing. Treat these numbers as diagnostic indicators rather than goals.

Tags

🛡️

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Details

Version
vlatest
License
Author
willoscar
Installs
32

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Passed automated security scans.