squadrant-effort

Adjusts crew token effort parameters via Squadrant's tokenomics layer.

2|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/tu11aa/squadrant --skill squadrant-effort
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: squadrant-effort
Source: https://github.com/tu11aa/squadrant/tree/main/plugin/skills/squadrant-effort
Command: npx skills add https://github.com/tu11aa/squadrant --skill squadrant-effort

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manages and adjusts the effort setting of crew tokens within Squadrant for more effective resource allocation and productivity optimization.

Core Features & Use Cases

  • Effort Adjustment: Quickly access and modify the effort parameters of crew tokens (max, balance, low).
  • Task Automation: Simplify setting and monitoring the work effort for individual projects.
  • Use Case: When managing a coding project, adjust the effort setting for each crew to ensure the correct level of focus and resources are applied at all times.

Quick Start

Run the command /squadrant-effort to get or set the effort for your projects.

Frequently Asked Questions about squadrant-effort

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

FAQPage Schema
How do I adjust effort levels for coding agents in project management?

You can adjust effort levels for coding agents by modifying crew token parameters to balance workload. This approach uses tokenomics management to allocate resources and optimize productivity for specific project tasks.

What is crew token effort management in Squadrant?

Crew token effort management is the process of setting workload parameters to control resource allocation. It allows project managers to apply max, balance, or low effort settings to coding agents for optimized task focus.

How do I set effort parameters for project agents using commands?

Run the command `/squadrant-effort` to get or set effort parameters for your project agents. This command directly modifies the workload settings to ensure correct focus and resources are applied.

Do I need Squadrant to control workload balancing for coding agents?

Yes, you need Squadrant to access the tokenomics layer required for workload balancing. This Skill depends on Squadrant's infrastructure to manipulate the effort settings of crew tokens.

When do I need to modify resource allocation for project agents?

You need to modify resource allocation when managing a coding project and wanting to adjust focus across tasks. Setting effort parameters ensures the correct level of resources is applied to individual crews at all times.

What are the limitations of using tokenomics for effort management?

The primary limitation is the strict dependency on Squadrant for accessing the tokenomics layer. Without this platform integration, the Skill cannot manipulate crew token settings or perform workload balancing.