A professional toolkit for transforming, cleaning, and formatting text across creative, academic, and technical domains.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install text
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install text using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Text?
The Text skill is a robust framework designed to streamline how AI agents interact with and process written information. It provides a standardized set of rules and patterns for everything from creative writing and dialogue to technical data cleaning and regex-based extraction. By integrating this skill, users can ensure their text outputs are consistently formatted, properly encoded, and free from common digital artifacts that break parsers.
This utility is particularly effective at bridge-building between raw data and polished content. Whether you are dealing with legacy encoding issues, normalizing whitespace, or generating high-conversion marketing copy, this addition to your Openclaw Skills library provides the precision tools necessary for high-quality text manipulation.
Text Use Cases
- Normalizing legacy text files by fixing encoding issues and inconsistent line endings.
- Automating the extraction of structured data like emails and URLs from large bodies of text.
- Formatting academic citations and creative writing pieces according to industry-standard rules.
- Cleaning messy datasets by collapsing whitespace and removing hidden zero-width characters.
- Preparing marketing copy with specific frameworks for headlines and calls-to-action.
How Text Works
- The skill initiates by performing format detection, identifying encoding types and line ending styles (CRLF vs LF).
- It applies universal normalization rules to strip Byte Order Marks (BOM) and convert smart quotes or em-dashes into standard ASCII characters.
- The agent selects the appropriate sub-module—such as writing, data, or academic—based on the specific task requirements.
- It executes complex transformations using optimized CLI commands like sed, tr, and grep for high-performance processing.
- A final checklist is processed to verify that the output meets technical requirements for character length and formatting integrity.
Text Setup
To utilize the Text skill within the Openclaw Skills environment, ensure your system has standard Unix-like text processing utilities available. These patterns rely on native command-line tools for maximum efficiency.
# Check for required CLI utilities
which sed tr grep file wc
# Example: Normalize a text file for processing
cat document.txt | tr -d '\r' | sed 's/^[[:space:]]*//;s/[[:space:]]*$//' > cleaned.txt
Text Data Schema & Taxonomy
The skill organizes its operations through specialized reference modules that define processing logic for various text types:
| Task Type | Reference Module | Key Functions |
|---|---|---|
| Creative | writing.md | Dialogue, POV, and voice consistency |
| Data | data.md | CSV parsing, regex patterns, and encoding |
| Academic | academic.md | APA, MLA, and Chicago citation styles |
| Marketing | copy.md | Headline generation and CTA optimization |
| Localization | localization.md | Translation and regional formatting rules |
Text Advanced Features
- Intelligent delimiter detection for structured files like CSV, TSV, and piped text.
- Automated regex extraction patterns for complex entities including URLs and multi-part email addresses.
- Unicode-aware processing that distinguishes between string length and byte length to prevent data corruption.
- Support for invisible character stripping and BOM removal as part of the Openclaw Skills standard workflow.
SKILL.md
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