One-click install
npx skills add https://github.com/aggelosChatziioannou/kimi_claw_skills --skill transparent-thinking
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Transparent Thinking
Source: https://github.com/aggelosChatziioannou/kimi_claw_skills/tree/main/transparent-thinking
Command: npx skills add https://github.com/aggelosChatziioannou/kimi_claw_skills --skill transparent-thinking

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides real-time visibility into the AI's thought process and progress during complex or long-running tasks, preventing users from feeling like the AI is stuck or unresponsive.

Core Features & Use Cases

  • Real-time Status Updates: Delivers frequent updates on the AI's current stage (e.g., researching, processing, building).
  • Progress Indicators: Shows progress for complex tasks, offering transparency.
  • Use Case: When asking the AI to research a complex topic or write a lengthy piece of code, this Skill will send periodic messages like "🔍 Researching: Analyzing 5 sources..." or "🛠️ Building: Implementing user authentication module...", allowing you to track progress without constant manual checking.

Quick Start

Use the transparent thinking skill to show me your progress as you research the latest AI trends.

Frequently Asked Questions about Transparent Thinking

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

FAQPage Schema
How do I get real-time AI progress updates during long-running tasks?

You can track AI task visibility by implementing a defined status flow that sends periodic messages, such as indicating the current stage of a complex operation, preventing the AI from appearing stuck.

What are real-time status updates for AI task execution?

These updates use a defined message format to communicate progress, showing exactly what the AI is doing during lengthy operations so you can monitor task visibility without interruption.

How do I track AI task progress for complex multi-step operations?

This is achieved by implementing a defined status flow that breaks down operations into visible stages, sending updates like analyzing sources or implementing modules as each step completes.

Does this communication protocol work for immediate result requests?

It applies specifically to situations where task visibility is desired over speed, sending frequent status updates that would be unnecessary for simple or immediate response requests.

When do I need a transparency protocol for AI assistant operations?

It is necessary when executing long-running operations like researching complex topics or writing lengthy code, where periodic status messages provide essential task visibility and prevent perceived delays.