version-diff-summariser

Solid

Takes two versions of the same text — a before and an after — and produces a plain-English summary of every meaningful change: what was added, cut, reworded, restructured, and why each change is likely to matter editorially.

AI & Automation 16 stars 0 forks Updated yesterday MIT

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Quality Score: 86/100

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100
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100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Version Diff Summariser ## What This Skill Does Takes two versions of the same text — a before and an after — and produces a plain-English summary of every meaningful change: what was added, cut, reworded, restructured, and why each change is likely to matter editorially. ## When To Use This Skill - After an editor returns a marked-up draft and you want to understand the full scope of revisions quickly - When handing a revised piece to a second editor who was not involved in the first round and needs to be brought up to speed - During collaborative writing when two people have worked on the same section independently and you need to reconcile the differences - When preparing a correction or update to a published article and you want a clear record of what changed for your corrections log - Before a legal or compliance review, to document the changes made between draft stages ## What You Need To Provide **Required:** Both versions of the text, clearly labelled. Paste Version A (original) first, then Version B (revised), separated by a clear divider such as `--- VERSION B ---`. **Optional:** A brief note on who made the changes and why (e.g., "editor tightened for length" or "legal flagged the third paragraph"). This context lets the assistant frame the summary more accurately. ## How the Assistant Approaches This 1. Reads both versions carefully, mapping the structure of each — paragraphs, sentences, key claims — to understand what belongs to what. 2. Identifies every ca...

Details

Author
ur-grue
Repository
ur-grue/autopunk-media-skills
Created
4 months ago
Last Updated
yesterday
Language
Python
License
MIT

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