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agent-principle

Define core behavioral principles for AI agents governing code generation and problem-solving.

Updated Aug 23, 2026
Search Tags:#coding standards#agent#reliability#principles#guidelines#ai behavior
One-click install
npx skills add https://github.com/y-kitamu/dotfiles --skill agent-principle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-principle
Source: https://github.com/y-kitamu/dotfiles/tree/main/.copilot/skills/agent-principle
Command: npx skills add https://github.com/y-kitamu/dotfiles --skill agent-principle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a foundational set of principles and guidelines for AI agents to ensure they operate reliably, accurately, and safely within a project's context.

Core Features & Use Cases

  • Guiding Agent Behavior: Establishes rules for context understanding, adherence to project standards, and prioritizing accuracy over speed.
  • Code Generation Standards: Defines principles for making small, incremental changes, minimizing impact, and avoiding hallucinations.
  • Problem-Solving Workflow: Outlines a structured approach to planning, execution, and verification, including log interpretation and side-effect consideration.
  • Use Case: Ensure all AI agents consistently follow best practices for code modification and task execution by referencing these principles at the start of every interaction.

Quick Start

Review the agent principles before starting any new task.

Frequently Asked Questions about agent-principle

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

FAQPage Schema
What are AI agent principles for reliable code generation?▼

AI agent principles are behavioral rules ensuring reliable code generation by prioritizing project context, enforcing coding standards, and mandating small, incremental changes to prevent dependency hallucinations.

How do I stop AI agents from hallucinating dependencies during software engineering tasks?▼

You prevent dependency hallucinations by enforcing agent principles that mandate context prioritization, strict adherence to project norms, and structured problem-solving workflows including thorough log analysis and side-effect consideration.

How do AI agents adhere to existing project coding standards?▼

AI agents adhere to coding standards by referencing established agent principles at the start of every interaction, governing their behavior to ensure context understanding, accuracy, and strict compliance with project norms.

Can I use these agent guidelines for structured problem-solving and log analysis?▼

Yes, these agent guidelines structure problem-solving by outlining a clear workflow for planning, execution, and verification, specifically directing agents to utilize log interpretation and consider side-effects for secure operation.

What is the best way to ensure AI agents make small, incremental code changes?▼

The best way to ensure small, incremental code changes is to apply core agent principles that govern code generation, explicitly minimizing impact and prioritizing accuracy over speed within the project's context.

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