skills.rest
CASIA-LM
CASIA-LMCOMMUNITY
Explore all skills by this author →
GitHub

skill-creator

Create domain-specific AI agent skills with structured workflows and validation.

17|2|Updated Dec 31, 2025
Search Tags:#workflow design#skill creation#AI development#domain expertise#AI skill structure
One-click install
npx skills add https://github.com/CASIA-LM/S1-NexusAgent --skill skill-creator-casia-lm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/CASIA-LM/S1-NexusAgent/tree/main/deepagents/libs/cli/examples/skills/skill-creator
Command: npx skills add https://github.com/CASIA-LM/S1-NexusAgent --skill skill-creator-casia-lm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The skill-creator helps users create and design effective skills for AI agents, enabling the extension of agent capabilities with specialized knowledge and workflows.

Core Features & Use Cases

  • Skill Creation Workflow: Provides a step-by-step guide to creating a new skill from concept to validation.
  • Skill Anatomy: Explains the structure of a skill, including frontmatter, body, and optional resource directories.
  • Resource Management: Describes how to include and use scripts, references, and assets within a skill.
  • Validation: Walks through the validation process to ensure skill compliance with standards.
  • Use Case: A beginner in AI development seeks guidance on how to create a skill that can analyze scientific papers and extract key information.

Quick Start

To create a new skill, follow the steps outlined in the SKILL.md documentation.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create specialized AI agent skills from scratch?▼

To create AI agent skills, follow a structured workflow that guides you through skill design patterns, frontmatter anatomy, body content, and validation procedures to ensure compliance with AI framework standards.

What is the standard structure for an AI skill?▼

The standard AI skill structure consists of frontmatter, a body containing the main logic, and optional resource directories that organize scripts, references, and assets for domain-specific agent capabilities.

How do I include and manage scripts and references when building an AI skill?▼

You manage scripts and references by placing them into optional resource directories within the skill structure, allowing the AI agent to access embedded workflows and domain expertise during execution.

Can domain experts without deep coding experience design workflows for AI agents?▼

Yes, domain experts can design AI agent workflows using this skill creation guide, which focuses on domain expertise integration and resource organization rather than complex software development.

What is the best way to validate an AI skill before deployment?▼

The best way to validate an AI skill is to follow the validation procedures outlined in the skill creation workflow, which ensures your skill meets compliance standards before extending agent capabilities.

Related Skills

Explore More Software Engineering Skills→
fagemxfagemx
2

domain-plan

Derive domain skill maps and artifact flows with lifecycle stages and gap analysis.

Community
Advanced
honysyanghonysyang
18

skill-creator

Guide creation of AI Agent skills with structured content organization.

Community
Advanced
aibtcdevaibtcdev
9

aibtc-agents

Organize AIBTC agent configuration templates for discovery and bootstrapping.

Official
Intermediate
devCharuzudevCharuzu

senior-prompt-engineer

Design prompts and evaluation frameworks for LLM workflows.

Community
Advanced