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agents-manager

Create and validate autonomous agents with structured workflows and testing checklists.

1|Updated Dec 29, 2025
Search Tags:#automation#workflow#development#prompt engineering#validation#agent
One-click install
npx skills add https://github.com/Jarvis-Projects/plugin-dev --skill agents-manager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents-manager
Source: https://github.com/Jarvis-Projects/plugin-dev/tree/main/skills/agents-manager
Command: npx skills add https://github.com/Jarvis-Projects/plugin-dev --skill agents-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured framework and detailed guidance for creating, refining, and ensuring the quality of autonomous agents, streamlining complex task execution.

Core Features & Use Cases

  • Agent Creation Workflow: Guides users through defining purpose, choosing patterns, writing frontmatter, and crafting system prompts for new agents.
  • Agent Improvement: Offers a systematic approach to analyze and enhance existing agents, addressing issues like missing examples or vague descriptions.
  • Marketplace Adaptation: Provides steps to adapt agents from external marketplaces for use within the JARVIS ecosystem.
  • Validation Checklist: A comprehensive checklist to ensure agents meet structural, prompt, and integration standards.
  • Use Case: A developer needs to create a new agent to analyze code quality. They can use this Skill to follow a proven workflow, ensuring the agent is well-defined, has clear triggers, and an effective system prompt.

Quick Start

Use the agents-manager skill to create a new agent for analyzing code quality.

Frequently Asked Questions about agents-manager

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

FAQPage Schema
How do I build autonomous agents with structured workflows and system prompts?▼

To build autonomous agents, use a structured workflow that guides you through defining purpose, choosing patterns, writing frontmatter, and crafting system prompts. This ensures agents are well-defined with clear triggers for complex task execution.

What is the best way to validate autonomous agents before integration?▼

Validating autonomous agents requires a comprehensive checklist to ensure they meet structural, prompt, and integration standards. This validation process confirms the agent has clear triggers and an effective system prompt for reliable execution.

How do I improve existing autonomous agents with vague descriptions or missing examples?▼

Improving existing autonomous agents involves a systematic approach to analyze and enhance their structure, addressing issues like missing examples or vague descriptions. This refines the agent's frontmatter and system prompt for better task performance.

Can I adapt autonomous agents from external marketplaces for internal use?▼

Yes, you can adapt autonomous agents from external marketplaces for internal use. The adaptation process provides specific steps to integrate external agents into the ecosystem, ensuring they meet local structural and prompt standards.

What are the limitations when creating agents for complex task execution?▼

When creating agents for complex task execution, limitations arise if the agent lacks clear triggers, well-defined frontmatter, or an effective system prompt. Without structured validation, agents may fail to meet structural and integration standards.

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