agent-create

Create and register AI agents with prompt, configuration, and README integration.

31|5|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/NSEvteev/FullSpec --skill agent-create-nsevteev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-create
Source: https://github.com/NSEvteev/FullSpec/tree/main/.claude/skills/agent-create
Command: npx skills add https://github.com/NSEvteev/FullSpec --skill agent-create-nsevteev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Этот навык упрощает создание и регистрацию нового AI-агента с промптом, конфигурацией и регистрацией в README, чтобы ускорить автоматизацию задач проекта.

Core Features & Use Cases

  • Автоматическое создание агента с шаблоном промпта и SSOT-ориентированной документацией.
  • Генерация конфигурации агента и регистрация в README для повторного использования.
  • Поддержка типовых сценариев: explore, bash, plan, general-purpose.

Quick Start

Выполните /agent-create мой-агент --type explore, чтобы добавить нового агента.

Frequently Asked Questions about agent-create

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

FAQPage Schema
How do I create and register a new AI agent in my software project?

To create and register a new AI agent, you can use an automation workflow that generates the agent's prompt, configuration, and SSOT-driven documentation, then automatically integrates it into your project's README for consistent onboarding and reuse.

What is the best way to automate AI agent onboarding for consistent team workflows?

Automating AI agent onboarding ensures consistent integration by enforcing frontmatter-based metadata and a defined invocation format for triggering agent creation, standardizing prompts and configurations across the team.

Can I use specific templates for different automation tasks when creating an AI agent?

Yes, you can use specific templates for creating an AI agent, supporting standard scenarios such as explore, bash, plan, and general-purpose automation tasks to match your project requirements.

How does metadata integration work when registering a new AI agent?

Metadata integration works by enforcing frontmatter-based metadata standards during agent creation, ensuring the new AI agent is consistently registered in the README with its configuration and SSOT-driven workflow steps.

Do I need any external dependencies to automate AI agent creation and registration?

No external dependencies are required to automate AI agent creation and registration, as the workflow operates independently to generate prompts, configurations, and README integrations within your software project.

What are the limitations of using CLI commands to generate AI agent configurations?

Using CLI commands to generate AI agent configurations is limited to the defined invocation format and supported scenarios like explore, bash, plan, and general-purpose, meaning highly customized agent structures outside the SSOT-driven template may not be supported.