Document Comparison logo

Document Comparison

Organization
Amazon-Quick
document-comparison

Compare two documents side-by-side, highlighting differences and generating a structured change summary. Use when the user says 'compare these docs', 'what changed between versions', 'diff these files', 'document comparison', or 'show differences between [file A] and [file B]'.

Overview

PublisherAmazon-Quick
RepositoryAmazon-Quick-official-catalog
Skill namedocument-comparison
Stars
50
Forks
4
Bundled files
1
LicenseMIT-0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Amazon-Quick on GitHub. Read the source before you install it.

Installation

Install the Document Comparison AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Amazon-Quick/Amazon-Quick-official-catalog/tree/main/skills/general-productivity/document-comparison
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Amazon-Quick/Amazon-Quick-official-catalog.git /tmp/Amazon-Quick-official-catalog
mkdir -p .claude/skills
cp -r /tmp/Amazon-Quick-official-catalog/skills/general-productivity/document-comparison .claude/skills/document-comparison
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Document Comparison in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Document Comparison on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Document Comparison is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Overview

Compares two documents (DOCX, PDF, Markdown, or plain text) and produces a visual side-by-side diff and/or a structured change summary. Identifies additions, deletions, modifications, and moved content. Useful for reviewing contract changes, policy updates, or document revisions.

Workflow

<Workflow - Compare description="Load two documents, compute differences, generate summary and/or visual diff, and present results." tools=[file_read_docx, file_read_pdf, file_read, run_python, file_write, open_in_session_tab] triggers=["compare these docs", "what changed between versions", "diff these files", "document comparison", "show differences between"]

  1. [Decide] Determine file types of {{file_a}} and {{file_b}} by extension.

    • .docx: use file_read_docx
    • .pdf: use file_read_pdf
    • .md, .txt, or other text: use file_read
    • Unsupported extension: [Ask user] "That file type isn't supported. I can compare DOCX, PDF, Markdown, and plain text files."
  2. [Agent] Load both documents using the appropriate reader from step 1. Validate: Both files return non-empty text content. If fails: Report which file could not be read and the error. Ask user to confirm the path.

  3. [Decide] Are documents identical?

    • Yes: Inform user: "These documents are identical. No differences found." Stop.
    • No: Continue.
  4. [Decide] Are documents excessively large (either file over 50,000 characters)?

    • Yes: [Ask user] "These are large documents ([X] and [Y] characters). Comparison may take a moment. Want me to proceed with the full comparison, or compare a specific section range?"
    • No: Continue.
  5. [Agent] Compute differences using run_python with difflib.SequenceMatcher.

    • Split documents into paragraphs (double newline or heading boundaries).
    • Compare at paragraph level to identify added, removed, modified, and moved sections.
    • For modified paragraphs, run word-level diff to identify inline changes. Validate: Diff data structure produced with at least one of: additions, deletions, modifications. If fails: Fall back to simple line-by-line comparison.
  6. [Decide] Check diff noise level. Is over 80% of content flagged as changed?

    • Yes: [Ask user] "These documents have very different structures. Over 80% of the content differs. The comparison will be noisy. Want me to proceed anyway, or would a high-level summary be more useful?"
    • No: Continue.
  7. [Decide] What output does the user want (based on {{output_format}})?

    • "markdown" or "both": Continue to step 8.
    • "html" only: Skip to step 9.
  8. [Agent] Generate a structured change summary in Markdown. Write to workspace as comparison_summary.md. Format per <Template - Change Summary>. Present the summary to the user immediately. Validate: Summary file is written and contains at least the Overview and Key Changes sections.

  9. [Decide] Does the user want HTML output?

    • {{output_format}} is "html" or "both": Continue to step 10.
    • "markdown" only: Skip to step 11.
  10. [Agent] Generate an HTML visual diff with side-by-side layout. Use the html_design skill tokens for styling. Write to workspace as comparison_diff.html. Features: side-by-side panels, green highlights (additions), red highlights (deletions), yellow highlights (modifications), line numbers, jump-to-change navigation, summary stats header. Validate: HTML file written and contains diff content.

  11. [Agent] Open the generated file(s) in session tabs using open_in_session_tab.

    • If both formats: open summary first, then HTML diff.
    • If single format: open that file.

</Workflow - Compare>

<Template - Change Summary>

Document Comparison Summary

File A (baseline): [filename] File B (revised): [filename] Date: [comparison date]

Overview

  • Sections added: X
  • Sections removed: X
  • Sections modified: X
  • Overall change magnitude: [Minor / Moderate / Significant / Major]

Key Changes

  1. [Most significant change in plain language]
  2. [Second most significant]
  3. ...

Detailed Changes

Added

  • [New content summary]

Removed

  • [Removed content summary]

Modified

  • [Section name]: [what changed]

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Document Comparison AI skill do?

Compare two documents side-by-side, highlighting differences and generating a structured change summary. Use when the user says 'compare these docs', 'what changed between versions', 'diff these files', 'document comparison', or 'show differences between [file A] and [file B]'.

Why use Document Comparison on TypingMind?

Because you install it once and use it with any model. Document Comparison is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Document Comparison in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Amazon-Quick/Amazon-Quick-official-catalog/tree/main/skills/general-productivity/document-comparison. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Document Comparison?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Document Comparison?

As many as you like. As long as a model supports skills, you can use Document Comparison with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Document Comparison AI skill free?

Yes. It is published on GitHub by Amazon-Quick under the MIT-0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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