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using-generic-agents

Recommend a generic agent type and prompt guidelines for a given task.

5|1|Updated Jan 26, 2026
Search Tags:#decision-making#software-engineering#agent-selection#task-planning#AI-prompting#generic-agents
One-click install
npx skills add https://github.com/ed3dai/ed3d-plugins-testing --skill using-generic-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: using-generic-agents
Source: https://github.com/ed3dai/ed3d-plugins-testing/tree/main/plugins/ed3d-basic-agents/skills/using-generic-agents
Command: npx skills add https://github.com/ed3dai/ed3d-plugins-testing --skill using-generic-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you decide which generic agent (Haiku, Sonnet, or Opus) you should use for a given task, aligning complexity and reasoning with the right level of control.

Core Features & Use Cases

  • Agent selection guidance based on task characteristics and requirements
  • Clear mapping to haiku-general-purpose, sonnet-general-purpose, and opus-general-purpose agents
  • Use cases include software design planning, research brainstorming, and multi-step problem solving

Quick Start

Provide a task description and constraints to the AI, and ask it to recommend the most suitable generic agent (haiku-general-purpose, sonnet-general-purpose, or opus-general-purpose) and the prompts to use.

Frequently Asked Questions about using-generic-agents

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

FAQPage Schema
How do I choose the right generic agent for a software engineering task?▼

To choose the right generic agent, provide your task description and constraints to get a deterministic recommendation mapping to haiku, sonnet, or opus agents based on task complexity and required reasoning level.

What is the best way to match AI agent complexity to my task planning requirements?▼

The best way to match AI agent complexity is evaluating task characteristics against agent capabilities, using deterministic recommendations to align planning, coding assistance, or research workflows with the correct level of control.

When should I use Opus vs Sonnet vs Haiku for coding assistance and research?▼

Use Opus vs Sonnet vs Haiku based on task complexity: apply agent selection guidance to differentiate reasoning levels for software design planning, research brainstorming, and multi-step problem solving.

Can I get AI prompting guidelines along with my agent selection recommendation?▼

Yes, you can get AI prompting guidelines alongside your agent selection recommendation by providing a task description, which yields both the suitable agent type and immediate prompt guidelines for use.

Does agent selection work for multi-step problem solving across product teams?▼

Yes, agent selection works for multi-step problem solving across product teams, applying deterministic recommendations and prompt guidelines to planning, coding assistance, research, and content-generation workflows.

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