Remove Punctuation Skill

Overview

Remove Punctuation matches two sets of characters in a single Unicode-aware regular expression. The first is the full printable ASCII punctuation and symbol set: ! " # $ % & ' ( ) * + , - . / : ; < = > ? @ [ \ ] ^ _ ` { | } ~. That set includes ASCII symbols such as $, +, <, =, >, |, ~ and the underscore, so they are removed as well. The second is every character in Unicode's punctuation category (\p{P}), which covers curly quotes, em and en dashes, ellipses, guillemets, inverted marks and punctuation from other scripts.

Unicode symbols outside ASCII, such as emoji, the euro and pound signs and mathematical symbols, are not in the punctuation category and are kept. Letters, digits and whitespace are never touched. Apostrophes inside words are removed rather than replaced with a space, so "I'm" becomes "Im" and "don't" becomes "dont". Hyphens are removed the same way, so "well-known" becomes "wellknown".

After removal, every run of whitespace, including tabs and line breaks, is collapsed to a single space and the result is trimmed, giving `cleaned`. Text made only of punctuation returns an empty `cleaned` string. `count` is the total number of characters removed, counting repeats, and `punctuation_removed` is the list of distinct characters that were removed, sorted by code point. Both are null on the Free plan, where only `cleaned` is returned.

Live Test Remove Punctuation Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as RemovePunctuationSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "RemovePunctuationSkill",
  "arguments": {
    "text": "Hello, World! How are you?"
  }
}

You do not name the tool yourself; the model picks it. Asking about Hello, World! How are you? in the terms this skill covers is enough for it to reach for RemovePunctuationSkill on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

https://api.vervekit.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "cleaned": "Hello world How are you doing today Im great thanks for asking This text has lots of punctuation periods commas hyphens more",
    "punctuation_removed": [
      "!",
      "&",
      "'",
      ",",
      "-",
      ".",
      ":",
      "?"
    ],
    "count": 11
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 1 credit each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Text Analysis

Clean text data before performing word frequency analysis, sentiment analysis, or natural language processing

Search Optimization

Remove punctuation from search queries to improve matching and relevance in search systems

Data Normalization

Standardize text data by removing punctuation before comparison or deduplication

Content Processing

Clean user input or scraped content by removing punctuation for storage or display

Other ways to use Remove Punctuation Skill

Set up Remove Punctuation Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Related

More in Text Processing: