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agent-interaction

Enforce planning and approval workflows for AI agent task execution.

5|Updated Jan 21, 2011
Search Tags:#ai agent#code formatting#interaction#task planning#guidelines#tool usage
One-click install
npx skills add https://github.com/minusfive/dot --skill agent-interaction-minusfive
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-interaction
Source: https://github.com/minusfive/dot/tree/main/.claude/skills/agent-interaction
Command: npx skills add https://github.com/minusfive/dot --skill agent-interaction-minusfive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill establishes clear rules and guidelines for AI agent interaction, ensuring consistent task planning, code formatting, and efficient tool usage within the macOS dotfiles project.

Core Features & Use Cases

  • Mandatory Planning: Agents must always present a detailed plan before executing any action.
  • Strict Execution: Plans must be followed precisely, with clear explanations for any deviations.
  • Efficient Tool Use: Encourages combining tool calls and minimizing output for better performance.
  • Use Case: When an AI agent needs to update a configuration file, it will first present a plan outlining the steps, await approval, and then execute the changes, reporting back on completion.

Quick Start

Use the agent-interaction skill to define the rules for AI agent task planning and execution.

Frequently Asked Questions about agent-interaction

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

FAQPage Schema
How do I enforce a planning step before an AI agent executes code changes?▼

You can enforce a planning step by implementing mandatory interaction rules that require an AI agent to present a detailed task plan and await approval before taking any action.

What are the best guidelines for consistent AI agent task planning and tool usage?▼

Effective AI agent task planning guidelines mandate strict execution of approved plans, prioritize technical accuracy, and encourage combining tool calls to minimize output for efficient operations.

Can I use structured rules to prevent AI agents from deviating from an approved plan?▼

Yes, structured rules can prevent deviations by enforcing strict execution policies that require agents to provide clear explanations for any modifications to an initially approved plan.

How do mandatory approval workflows improve AI agent code formatting operations?▼

Mandatory approval workflows improve code formatting by ensuring agents outline their steps, await user confirmation, and then execute changes precisely within the repository context.

Why does my AI agent skip the planning phase when updating configuration files?▼

An AI agent skips the planning phase when mandatory interaction guidelines are not defined, meaning it lacks the strict rules required to present a plan and await approval before execution.

Does enforcing strict task planning slow down AI agent execution efficiency?▼

Strict task planning maintains execution efficiency by requiring agents to combine tool calls and minimize output, ensuring actions are precise and technically accurate within the repository.

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