Content Structure Patterns

Name: Content Structure Patterns
Author: arustydev

Checked

arustydev·vlatest·writing·AGPL-3.0

Analyzes text to identify recurring structural patterns, enabling content optimization and automated restructuring suggestions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add arustydev/agents --skill content-structure-patterns -a claude-code

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What we know about this skill

Publisher

arustydev

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Install target

Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 1 Oct 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
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No credential access: passed
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Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
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Pinned to a commit: passed
Scanned arustydev/ai at 70b280c5bc.
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Commit: 70b280c5bc
Manifest: content/plugins/blog-workflow/skills/content-structure-patterns/SKILL.md
Scanned: 1 file, 287 lines

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What each check looks for →

About this skill

What it does

This skill helps AI agents understand and apply common content structure patterns. It allows them to recognize recurring elements like introductions, conclusions, lists, and headings within text. This enables more effective summarization, analysis, and generation of structured content.

When to use it

Summarizing long documents: Quickly identify key sections and generate concise summaries.
Analyzing reports: Extract insights by recognizing patterns in data presentation (e.g., tables, charts).
Generating outlines: Create structured drafts for articles or presentations based on established formats.
Rewriting content: Restructure existing text to improve clarity and flow.

Key capabilities

Pattern recognition of common textual structures
Identification of headings and subheadings
Detection of lists (ordered and unordered)
Recognition of introductory and concluding paragraphs

Example prompts

"Analyze this document and identify the main sections."
"Rewrite this article to follow a standard blog post format with an introduction, body, and conclusion."
"Create an outline for a report on [topic], including sections for background, methodology, results, and discussion."

Tips & gotchas

The effectiveness of this skill depends on the consistency of structure in the input content. Highly unstructured or unconventional writing may yield less accurate results.