profile

Update agent AI model profiles in Plan-Build-Run's config.json file.

17|5|Updated Feb 18, 2026

Search Tags:#configuration #cost optimization #performance tuning #ai models #profile management #agent settings

Ready to run

npx skills add https://github.com/SienkLogic/plan-build-run --skill profile-sienklogic

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: profile
Source: https://github.com/SienkLogic/plan-build-run/tree/main/plugins/copilot-pbr/skills/profile
Command: npx skills add https://github.com/SienkLogic/plan-build-run --skill profile-sienklogic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows you to easily switch between different AI model configurations, optimizing for quality, balance, or cost, and helps manage your AI agent's performance and budget.

Core Features & Use Cases

Switch Model Profiles: Easily change the AI models used by different agents (e.g., researcher, planner, executor).
Preset Profiles: Utilize predefined profiles like quality, balanced, budget, and adaptive.
Custom Profiles: Define and use your own model configurations.
View Current Settings: Check the active profile and current model assignments for each agent.
Use Case: If you're running a complex, long-term project, you might switch to the quality profile for critical planning and verification steps, then switch to budget for routine execution tasks to save costs.

Quick Start

Run /pbr:profile quality to switch to the quality model profile.

Frequently Asked Questions about profile

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

FAQPage Schema

How do I switch AI model configurations to optimize agent costs?▼

To switch AI model configurations and optimize costs, use the profile Skill to update a local configuration file. This dynamically adjusts agent model assignments to balance performance and budget.

What predefined AI model profiles are available for performance tuning?▼

Available predefined AI model profiles for performance tuning include quality, balanced, budget, and adaptive. These presets allow you to quickly change agent settings based on specific task requirements.

Can I define custom model configurations for my agents?▼

Yes, you can define and use custom model configurations for your agents. Define your custom profiles directly in the config.json file to enable dynamic adjustment of agent model assignments.

How do I check the active profile and current model assignments for each agent?▼

To check the active profile and current model assignments for each agent, use the profile management Skill to view your current settings. This displays the active configuration and assigned agent models.

When should I use different AI model profiles during a long-term project?▼

During a long-term project, switch to the quality profile for critical planning and verification steps, then switch to the budget profile for routine execution tasks. This manages performance and saves costs.