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Edit prose for its human reader: clear meaning, accurate claims, concise wording, and preserved voice. Use for blogs, docs, release notes, tweets, email, or copy that needs a reader-focused rewrite.

  • 8 files
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  • Updated 12 hours ago
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Recorded with OpenCode, zai-coding-plan/glm-5.3

PromptRewrite these Markdown documents to remove AI writing tells and make them clear and natural. Preserve all facts, uncertainty, code, links, identifiers, and useful document structure. Return only the requested documents, without review notes. Documents: {"reading-list.md":"# Keeping a reading list that works for you\n\nIn today's fast-paced digital landscape, managing a reading list has become an increasingly important part of staying informed. Indeed, it goes without saying that by leveraging a thoughtful approach, you can transform a simple collection of links into a valuable resource for learning and growth.\n\n## A streamlined approach\n\nIt's worth noting that a reading list doesn't need to be complicated. Our fictional reading-list app, Margin, offers a streamlined approach that truly delivers. Margin stores a title, URL, and category for each link. Furthermore, you can filter by category and bookmark items you want to return to. Everything stays in your browser. It's important to note that there is no account or cloud sync, which keeps things refreshingly straightforward.\n\n## Building better habits\n\nMoreover, a weekly review can help you navigate the ever-growing collection of articles. Remove links you no longer want to read. Keep the ones that connect to a project you are working on. This simple habit can make a world of difference over time.\n\nUltimately, the goal is to create a seamless reading experience that empowers you to make the most of your time. At the end of the day, a small, focused list can be more useful than an extensive collection you never open.","README.md":"# Margin\n\nMargin is a fictional TypeScript package designed to streamline the management of reading lists. It provides a robust yet intuitive API for organizing links by category, enabling developers to create seamless reading experiences.\n\n## Getting started\n\nTo begin leveraging Margin, simply import `filterLinks` and pass your links and the desired category. It's worth noting that the function returns matching links in their original order. Furthermore, passing an empty category returns all links.\n\n```ts\nimport { filterLinks } from 'margin'\n\nconst links = [\n { title: 'CSS notes', url: 'https://example.com/css', category: 'CSS' },\n { title: 'TypeScript notes', url: 'https://example.com/ts', category: 'TypeScript' },\n]\n\nconst cssLinks = filterLinks(links, 'CSS')\n```\n\n## Important considerations\n\nIt's important to note that category matching is case-sensitive. Moreover, the function does not modify the input array. It's also worth highlighting that Margin does not fetch URLs or store links. Ultimately, Margin is solely a filtering function, making it a valuable addition to your toolkit.","pr.md":"# Add category filtering to the reading list\n\nThis pull request introduces a streamlined category filtering experience to our fictional reading-list app, Margin. By leveraging the existing category field, users can now navigate their saved articles with greater ease and efficiency.\n\nPreviously, the list displayed every saved link regardless of the selected category. With this enhancement, selecting a category displays only matching links. It's worth noting that selecting All displays the complete list.\n\nFurthermore, filtering preserves the original order of links and does not change bookmarks. It's important to note that the selected category resets when the page reloads. Moreover, search and saved filter preferences are outside the scope of this change.\n\nUltimately, this improvement provides a more focused and intuitive reading experience while maintaining the simplicity of the existing interface."} Return one JSON object with exactly these keys: "reading-list.md", "README.md", "pr.md". Each value is the complete Markdown document as a JSON string. No outer Markdown fence or commentary.

FolderAI-generated original Markdown and a shared no-Skill rewrite. Three documents about the fictional Margin app and package.

Keeping a reading list that works for you

A pile of saved links is not the same as a useful reading list. A little structure turns one into the other, and into something you actually learn from.

A simple setup

Margin, our fictional reading-list app, keeps it simple. For each link, Margin stores a title, URL, and category. You can filter by category and bookmark items you want to come back to. Everything stays in your browser. There is no account and no cloud sync.

A weekly review

Each week, look over the list. Remove links you no longer want to read. Keep the ones that connect to a project you are working on.

A small, focused list can be more useful than an extensive collection you never open.

Markdown
# Keeping a reading list that works for you

A pile of saved links is not the same as a useful reading list. A little structure turns one into the other, and into something you actually learn from.

## A simple setup

Margin, our fictional reading-list app, keeps it simple. For each link, Margin stores a title, URL, and category. You can filter by category and bookmark items you want to come back to. Everything stays in your browser. There is no account and no cloud sync.

## A weekly review

Each week, look over the list. Remove links you no longer want to read. Keep the ones that connect to a project you are working on.

A small, focused list can be more useful than an extensive collection you never open.

Recorded on an older version of this Skill.

Use this Skill: https://skilld.dev/gh/harlan-zw/brundlefly/im-not-a-fly

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

referencesgraphite-ai-tells-2026.md

≈612 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Graphite research note

Source: AI Tells: Opus 5.5 Update, Graphite, October 1, 2026. Authors: Gregory Druck, Jose Luis Paredes, and Ethan Smith. The user supplied the article. The primary page was checked on October 4, 2026.

Evidence and limits

Graphite compares articles across 9,974 aligned topics with human articles written before ChatGPT. Its 1,000-topic mannered-prose ratings use Opus 5, without a human panel. Unigram Jensen-Shannon distance measures vocabulary similarity, not quality or authorship. Opus 5.5 retains 2,548 tells despite nearly eliminating em dashes. Tells occur at least twice the normalized human rate after frequency filters. Frames allow gaps of up to three words. These observational article-corpus results depend on model, version, and genre. They are not universal editing rules.

Patterns to review

Pattern Examples Editing question
Evaluative wording dependable, thoughtful, steady, meaningful Does the rating convey supported information?
Stock transitions what comes next, adds another layer, in practice Does the connection help the reader follow the argument?
Contrast and importance rather than simply, this matters Does the phrase preserve a useful distinction or explain a consequence?
Helpfulness can help you, makes it easier, helps you avoid Is the benefit specific and supported?
Superlatives the most popular, the most powerful Is the comparison supported within its stated scope?
Qualification may provide, does not establish, not necessarily Would removing it change uncertainty or the evidence limit?

The first three rows compare Opus 5.5 with humans. Helpfulness compares Opus 5.5 with Opus 5; superlatives compare it with Astra. Qualification compares Astra with Opus 5.5. Model-to-model ratios are not human-relative ratios.

Apply with care

Read the whole passage before editing a phrase. Preserve ordinary words, contractions, technical terms, and deliberate voice. If the wording serves the reader, keep it. If it repeats a point, cut the repetition. If it hides the point, state only what the source supports. Then compare scope, uncertainty, attribution, and meaning with the original. Never add a benefit or claim to make the sentence sound concrete. Never use this research to promise human authorship or detector evasion.

Source: SKILL.md on GitHub

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Last checked against GitHub 9 hours ago.

Activeupdated 12 hours ago

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