Textum

🥈Silver

Textum is a structured workflow that ensures AI adheres to your requirements. It features 4 phases with validation gates, making the process more controllable. Ideal for operations teams, it weaves ideas into functional code, reducing errors and improving reliability.

4140Updated 1mo ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/snakeying/Textum.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/snakeying/Textum

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to use Textum to automate a workflow for [COMPANY]. Here are the requirements: [REQUIREMENTS]. Please guide me through the 4 phases of Textum, ensuring validation at each gate. The industry is [INDUSTRY], and the data involved is [DATA].

Example Output

# Textum Workflow for Automated Data Processing

## Phase 1: Requirements Gathering
- **Objective**: Define clear, measurable requirements
- **Validation Gate**: Requirements must be specific, measurable, achievable, relevant, and time-bound (SMART)
- **Output**: Approved requirements document

## Phase 2: Workflow Design
- **Objective**: Design a step-by-step workflow based on approved requirements
- **Validation Gate**: Workflow must align with requirements and industry standards
- **Output**: Approved workflow diagram

## Phase 3: Implementation
- **Objective**: Implement the workflow using AI, ensuring adherence to design
- **Validation Gate**: Implementation must match the approved workflow and pass initial testing
- **Output**: Functional AI-driven workflow

## Phase 4: Monitoring and Optimization
- **Objective**: Monitor workflow performance and optimize as needed
- **Validation Gate**: Performance metrics must meet or exceed benchmarks
- **Output**: Optimized, reliable workflow

**Note**: All phases include error handling and rollback procedures to ensure reliability.