effort

Adjust AI processing depth and analysis effort for tasks.

Updated Mar 12, 2026

Search Tags:#performance tuning #task complexity #effort #ai configuration #thinking depth

Ready to run

npx skills add https://github.com/sethihq/guide --skill effort-sethihq

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: effort
Source: https://github.com/sethihq/guide/tree/main/public/kit/skills/effort
Command: npx skills add https://github.com/sethihq/guide --skill effort-sethihq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows for dynamic adjustment of the AI's cognitive effort, optimizing response quality and speed based on task complexity.

Core Features & Use Cases

Adaptive Thinking Depth: Control how deeply the AI analyzes a problem, from quick fixes to in-depth architectural reviews.
Use Case: When a user initially asks for a "quick fix" but then realizes the problem is more complex, you can use this skill to increase the effort level for a more thorough solution.

Quick Start

Set the effort level to high for the current session.

Frequently Asked Questions about effort

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

FAQPage Schema

How do I adjust AI thinking depth for complex debugging tasks?▼

You adjust AI thinking depth by configuring the cognitive effort level for the session. Increasing the effort level directs the AI to apply deeper analysis and processing effort, transitioning from quick fixes to thorough architectural debugging.

What is adaptive thinking depth and when do I need it?▼

Adaptive thinking depth is a configurable cognitive load mechanism that balances response speed and thoroughness. You need it when task complexity varies, requiring dynamic adjustment of the AI's processing effort to optimize response quality.

Can I increase processing effort mid-session if a quick fix becomes a complex problem?▼

Yes, you can increase processing effort mid-session. This skill manages adaptive thinking depth, allowing you to escalate the AI's analysis from simple edits to in-depth architectural reviews whenever task complexity expands.

What's the best way to balance response speed and thoroughness during performance tuning?▼

Balancing response speed and thoroughness involves dynamically adjusting the AI's cognitive effort based on task complexity. Set lower effort for simple edits and increase thinking depth for demanding performance tuning to optimize output quality.

Does configuring AI cognitive load work for architectural decisions?▼

Configuring AI cognitive load works for architectural decisions by scaling the processing effort. Setting a high effort level ensures the AI applies the deep thinking depth required for complex architectural analysis and thorough problem-solving.

Why does my AI response speed drop during complex analysis?▼

Response speed drops during complex analysis because the AI applies a higher cognitive effort to ensure thoroughness. You can manage this processing effort by lowering the thinking depth if speed becomes a priority over in-depth analysis.