Can it create multiple agents at once?

Yes, the creator supports 'Multi-Agent Suites' where several specialized agents are created within a single directory to handle complex, multi-step workflows.

What is the Agent Skill Creator meta-skill?

It is a specialized capability for Claude Code that enables the AI to autonomously design, research, and build other skills and agents from scratch based on user requirements.

What is the significance of the '-cskill' suffix?

All skills created by this tool use the '-cskill' suffix to ensure clear identification, consistent naming conventions, and to distinguish them from manually created plugins.

Does it require manual API configuration?

No, the skill autonomously researches available APIs and chooses the best options based on the target workflow, though users can provide guidance if preferred.

How does the 5-phase creation protocol work?

It follows a structured path: Phase 1 (Discovery/Research), Phase 2 (Design/Analysis), Phase 3 (Architecture/Structure), Phase 4 (Detection/Metadata), and Phase 5 (Implementation/Coding).

Agent Skill Creator

Name: Agent Skill Creator
Author: FrancyJGLisboa

byFrancyJGLisboa

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151

Productividad y Flujo de Trabajo

Automates the end-to-end creation of specialized Claude Code agents and skills through an autonomous 5-phase protocol.

Acerca de

Agent Skill Creator is a powerful meta-skill designed to transform manual workflows into fully autonomous Claude Code agents. It guides Claude through a structured process—from API research and architectural design to full implementation—resulting in production-ready subdirectories containing SKILL.md files, functional Python scripts, and necessary configurations. Whether you need a simple focused skill or a complex multi-agent suite, this tool handles the heavy lifting of development, documentation, and testing, while utilizing AgentDB integration to learn from every creation and improve performance over time.

Características Principales

Invisible AgentDB integration for progressive learning and optimization
Transcript processing to extract workflows from videos or documentation
Autonomous 5-phase agent creation protocol (Discovery to Implementation)
Support for both single-purpose skills and complex multi-agent suites
Automatic generation of marketplace.json and production-ready Python code
151 GitHub stars

Casos de Uso

Converting repetitive daily manual tasks into automated custom agents
Building specialized domain-specific skills with zero manual coding
Rapidly prototyping multi-agent systems from high-level workflow descriptions

Acerca de

Características Principales

Invisible AgentDB integration for progressive learning and optimization
Transcript processing to extract workflows from videos or documentation
Autonomous 5-phase agent creation protocol (Discovery to Implementation)
Support for both single-purpose skills and complex multi-agent suites
Automatic generation of marketplace.json and production-ready Python code
151 GitHub stars

Casos de Uso

Converting repetitive daily manual tasks into automated custom agents
Building specialized domain-specific skills with zero manual coding
Rapidly prototyping multi-agent systems from high-level workflow descriptions