textual-tui-pipeline-interception

Insert a Textual UI review step into CLI pipelines before final write.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/shimo4228/claude-code-learned-skills --skill textual-tui-pipeline-interception
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: textual-tui-pipeline-interception
Source: https://github.com/shimo4228/claude-code-learned-skills/tree/main/skills/textual-tui-pipeline-interception
Command: npx skills add https://github.com/shimo4228/claude-code-learned-skills --skill textual-tui-pipeline-interception

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CLI pipelines often rush results to output without a chance for human review. This skill introduces an interactive, Textual-based review/approval step that preserves immutable state during the review, ensuring auditability and safety.

Core Features & Use Cases

  • Immutable state management using frozen dataclass patterns within a Textual UI.
  • Seamless insertion of a review step between generation and final write in a CLI workflow.
  • Keyboard-driven controls (accept, reject, edit, navigate) for fast, screen-based approvals.

Quick Start

Run the textual tui review flow to suspend output until the user approves the results.

Frequently Asked Questions about textual-tui-pipeline-interception

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add an interactive review step to a CLI pipeline?▼

To add an interactive review step to a CLI pipeline, use a Textual UI to suspend output and enforce immutable state with frozen dataclass patterns until the user validates generated results before final write.

How do you enforce immutable state during a CLI approval workflow?▼

You enforce immutable state during a CLI approval workflow by applying frozen dataclass patterns within the Textual UI, ensuring data remains auditable and unchanged until final write.

Can I use a Textual UI for keyboard-driven code review in a CLI pipeline?▼

Yes, you can use a Textual UI for keyboard-driven code review in a CLI pipeline, providing fast screen-based controls to accept, reject, edit, and navigate generated items before final output.

What is the best way to validate data transformation results before writing to output?▼

The best way to validate data transformation results before writing to output is inserting a Textual review step that exposes a launch_review API to return the same data structure with only accepted items.

Does the launch_review API modify the original data structure during pipeline approval?▼

No, the launch_review API does not modify the original data structure during pipeline approval; it maintains immutable state and returns the same data structure containing only the accepted items.