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Dedash

CommunityPopular
LilMGenius
dedash

Remove em-dashes and the dashes standing in for them from a user-owned scope, reading each occurrence in context and choosing the punctuation or wording that fits.

Overview

PublisherLilMGenius
Repositorypaperthin
Skill namededash
Stars
1.3K
Forks
118
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by LilMGenius on GitHub. Read the source before you install it.

Installation

Install the Dedash 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/LilMGenius/paperthin/tree/main/skills/depth/dedash
  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/LilMGenius/paperthin.git /tmp/paperthin
mkdir -p .claude/skills
cp -r /tmp/paperthin/skills/depth/dedash .claude/skills/dedash
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dedash 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 Dedash 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 Dedash 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.

Remove em-dashes and the dashes standing in for them from the scope the user names, one occurrence at a time, while leaving hyphens, ranges, and deliberate marks alone.

Goal

Replace each em-dash that should not remain with the mark or wording its clause actually needs. Target any dash doing an em-dash's job, whatever its exact character: U+2014 and its longer or repurposed look-alikes all read the same on the page. The user owns the scope: a passage, field, file, selection, or tree. Do not widen it without asking.

Workflow

  1. FIND: Take the exact scope from the user and locate every dash doing an em-dash's job in it, judged by the role it plays in the sentence, not its codepoint: any mark that sets off an aside, an appositive, an abrupt turn, or a missing conjunction. The em-dash (U+2014) is the common one; the horizontal bar (U+2015) and the two- and three-em dashes (U+2E3A, U+2E3B) read the same and count. The en-dash (U+2013) is the boundary case: it counts when it joins clauses where an em-dash would fit, but stays when it spans a range's endpoints, numeric or not (1990–2020, the London–Paris route). A dash doing a non-em job (a hyphen, a minus, a range) stays. Surface anything genuinely ambiguous as a judgment call rather than changing it blindly.
  2. REPLACE per role: Choose per occurrence by grammatical role:
    • Parenthetical aside: commas or parentheses when the dashed material can be lifted out of the sentence.
    • Appositive: a colon or comma when the dashed material renames, defines, or expands the noun before it.
    • Abrupt turn: a full stop, semicolon, or comma when the dash marks a pivot, interruption, or restart.
    • False-conjunction break: rewrite the sentence when the dash stands in for a missing "and", "but", "because", "so", or another real connective.
  3. LEAVE-ALONE: Unless the user explicitly includes them and the context proves them wrong, leave untouched:
    • hyphenated compounds, minus signs, and negative numbers
    • ranges such as 1-10, 1–10, or London–Paris; a range dash is not an em-dash
    • code, diffs, command output, identifiers, serialized data, URLs, paths, anchors, and query strings
    • quoted or clearly deliberate em-dashes in stylized prose; these surface as judgment calls, never as blind mutations
  4. RE-READ: Read every changed sentence in place. Fix awkward rhythm, dangling punctuation, doubled spaces, and connector loss introduced by the replacement. If the sentence now needs wording instead of punctuation, rewrite the smallest clause that solves it.
  5. REPORT: State the scope checked, how many dashes were found and changed, which replacements were used by role, and anything left alone or surfaced as a judgment call.

Rules

  • Never do blanket replacement. The same glyph can require different punctuation in different clauses.
  • Never replace an em-dash with a hyphen as the cleanup.
  • Mutate with edit-safety: edit unicode-safe (PYTHONUTF8=1) and replace each dash per occurrence, never a blanket sweep; if the scope contains no such dash, report a MISS rather than changing nearby punctuation.
  • Preserve the user's voice. This skill removes a mark where requested; it does not flatten style outside the user-owned scope.

Verification

Before finishing, confirm:

  1. The scope stayed exactly user-owned.
  2. Every replacement was selected per occurrence by grammatical role.
  3. Leave-alone cases stayed untouched or were reported as judgment calls.
  4. The report includes counts and any judgment calls.

Frequently asked questions

What does the Dedash AI skill do?

Remove em-dashes and the dashes standing in for them from a user-owned scope, reading each occurrence in context and choosing the punctuation or wording that fits.

Why use Dedash on TypingMind?

Because you install it once and use it with any model. Dedash 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 Dedash in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LilMGenius/paperthin/tree/main/skills/depth/dedash. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dedash?

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 Dedash?

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

Is the Dedash AI skill free?

Yes. It is published on GitHub by LilMGenius under the MIT 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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