When should I trigger this skill?

You should use this skill at the very beginning of a project when you are asked to 'Create a new agent' or 'Start an interview' for a specific domain-specific task.

How does the QC process work within this skill?

It delegates quality control to a specialized sub-agent (qa-skill-qc) that evaluates the documentation for ambiguity, missing items, and alignment with industry standards before finalizing.

What happens if the requirements are not approved?

The workflow includes a mandatory structure approval step; the skill will not proceed to the backlog or next engineering phases until the user approves the agent requirements and folder design.

What is the main output of the Agent Discovery skill?

The skill generates standardized requirements (draft_requirements.md) and industry research documents (framework_research.md) to serve as a technical blueprint for new AI agents.

Does it support industry-standard frameworks?

Yes, the skill is designed to search for and incorporate standards like BABOK or AMA to ensure the resulting agent follows professional domain-specific best practices.

Agent Discovery & Requirements

Name: Agent Discovery & Requirements
Author: matsuni-kk

bymatsuni-kk

•

Productividad y Flujo de Trabajo

Orchestrates the discovery phase for custom AI agents by conducting stakeholder interviews, researching industry frameworks, and generating structured requirement documents.

Acerca de

This skill automates the initial requirement-gathering phase for creating domain-specific Claude agents. It guides users through a comprehensive discovery workflow, including industry-standard research (like BABOK or AMA), detailed persona and KPI definition, and automated quality control loops using specialized sub-agents. By generating standardized documents like draft_requirements.md and framework_research.md, it ensures that every new agent project starts with a solid, peer-reviewed architectural foundation and clear success criteria, streamlining the transition from concept to implementation.

Características Principales

Integrated quality control (QC) loops using dedicated sub-agents
Template-based generation of requirements and research documentation
Automated task backlog generation to track project next steps
Automated industry framework research (BABOK, AMA) via web search
Structured stakeholder interview workflow for persona and KPI mapping
8 GitHub stars

Casos de Uso

Initiating a new specialized AI agent project with formal requirement gathering
Standardizing the documentation process for enterprise-grade AI agent development
Researching domain-specific best practices before developing automation workflows

Acerca de

Características Principales

Integrated quality control (QC) loops using dedicated sub-agents
Template-based generation of requirements and research documentation
Automated task backlog generation to track project next steps
Automated industry framework research (BABOK, AMA) via web search
Structured stakeholder interview workflow for persona and KPI mapping
8 GitHub stars

Casos de Uso

Initiating a new specialized AI agent project with formal requirement gathering
Standardizing the documentation process for enterprise-grade AI agent development
Researching domain-specific best practices before developing automation workflows