A comprehensive suite of text manipulation tools for AI agents to handle regex, diffs, format conversions, and structured JSON data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install text-transform
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-transform 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 Transform Utility?
The Text Transform utility for Openclaw Skills provides a robust, stateless API interface designed to handle complex text processing tasks that go beyond simple string manipulation. By integrating this skill, agents can efficiently manage data structural transformations, such as converting Markdown to HTML, generating line-level diffs for version comparison, and performing advanced regex operations. This is a critical addition to any suite of Openclaw Skills, as it offloads computationally heavy or logic-sensitive text tasks to a dedicated service, ensuring consistency and precision in agent outputs.
Privacy and speed are at the core of this tool's design. It operates entirely statelessly, meaning no user data or agent-generated content is logged or retained by the service. Developers using Openclaw Skills can rely on this tool for everything from slugifying titles and counting words to deep JSON querying and validation, making it an indispensable part of a modern AI development workflow.
Text Transform Utility Use Cases
- Automating the conversion of agent-generated Markdown into production-ready HTML.
- Extracting specific patterns from unstructured data using complex regex match and replace operations.
- Comparing two versions of text or code blocks to identify precise line-level differences.
- Validating, formatting, and minifying JSON responses for cleaner API interactions.
- Standardizing content formats by applying title casing, slugification, and whitespace trimming.
How Text Transform Utility Works
- The AI agent identifies a text transformation requirement, such as needing to count words or transform a case.
- The agent constructs a JSON payload containing the input text and the desired operations for the Openclaw Skills integration.
- The request is sent to the stateless endpoint at text.agentutil.net where the transformation logic is applied.
- The service processes the request in memory without persisting any data to disk or logs.
- The agent receives a JSON response containing the processed result and immediately utilizes it in its ongoing workflow.
Text Transform Utility Setup
To get started with this component of your Openclaw Skills library, you can begin using the free tier immediately. For higher volume needs, the service supports the x402 protocol for micro-payments.
# Test the transform endpoint
curl -X POST https://text.agentutil.net/v1/transform \
-H "Content-Type: application/json" \
-d '{"input": "Openclaw Skills are powerful", "operations": ["slugify", "word_count"]}'
No API keys are required for the initial 10 queries per day. For production environments, ensure your agent is configured to handle the JSON response structure effectively.
Text Transform Utility Data Schema & Taxonomy
The skill utilizes a standardized JSON schema for all interactions to ensure compatibility across different Openclaw Skills implementations.
| Field | Description | Example |
|---|---|---|
input |
The source text to be manipulated. | "# Heading" |
operations |
An array of specific transformation commands. | ["lowercase", "trim"] |
results |
An object containing the output of each requested operation. | {"word_count": 2} |
from / to |
Parameters used for format conversion (e.g., markdown to html). | "markdown" |
operation |
The specific mode for JSON or Regex endpoints. | "match_all" |
Text Transform Utility Advanced Features
- Support for complex JSON querying using path parameters to extract specific nested values.
- Micro-payment integration via x402 protocol using USDC on the Base network for high-frequency usage.
- Advanced regex engine supporting global flags and multiple match operations.
- Multi-operation chaining allowing for single-request pipelines (e.g., trim, then lowercase, then slugify).
- Line-level diff engine specifically optimized for comparing code snippets or long-form content versions.
SKILL.md
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