msitarzewski/agency-agents

• **Archetype**: domain-skill-pack
• **Stars**: 79,152
• **Last pushed**: 2026-04-12
• **License**: MIT
• **Discovered**: 2026-04-13
• **Source**: gh-search
• **Skills found**: 206 (agent personalities)

Summary

Professional collection of 206 specialized AI agent personalities organized by business domains (academic, design, engineering, finance, marketing, product, sales, etc.) with deep domain expertise, unique communication styles, and production-ready workflows. Features Claude Code integration, installation scripts, and personality-driven approaches to domain-specific problems rather than generic procedural skills.

Assessment

VERY HIGH VALUE. This repository provides a unique approach to domain expertise through specialized agent personalities rather than procedural skills. Each agent has deep domain knowledge, unique communication style, and battle-tested workflows. The organization by business domains and Claude Code integration make this highly extractable. The personality-driven approach provides richer context than generic skills by embedding domain expertise within consistent personas that maintain conversational continuity and domain-specific perspectives.

Extraction Priority

HIGH - Contains sophisticated domain expert personas with unique approach to knowledge delivery:

• Expert persona design methodology → methodologies/persona-engineering/
• Domain-specific expert knowledge systems → specializations/domain-expertise/
• Personality-driven workflow patterns → specializations/conversational-ai/
• Business domain expert frameworks → specializations/business-domains/

Processes

- Source: Overall agent personality structure, YAML frontmatter patterns, personality frameworks - Placement: methodologies/persona-engineering/ - Inputs: Domain requirements, expertise depth, personality traits, communication style preferences - Outputs: Agent personality specifications, domain knowledge frameworks, conversational patterns - Complexity: moderate - Notes: Includes structured approach to combining domain expertise with personality consistency

• **domain-expert-persona-design**: Systematic process for creating specialized AI agent personalities with deep domain expertise and consistent voice

- Source: academic/ directory agents (academic-anthropologist, academic-geographer, etc.) - Placement: specializations/academic-research/ - Inputs: Research context, academic discipline requirements, scholarly standards - Outputs: Research methodologies, disciplinary frameworks, academic analysis patterns - Complexity: complex - Notes: Covers multiple academic disciplines with appropriate theoretical foundations

• **academic-domain-expertise**: Specialized knowledge systems for academic disciplines (anthropology, geography, history, etc.)

- Source: design/ directory agents and creative workflows - Placement: specializations/creative-design/ - Inputs: Design requirements, user experience needs, creative constraints - Outputs: Design specifications, creative workflows, user experience patterns - Complexity: moderate

• **creative-design-workflows**: Expert design processes across multiple creative domains (UI/UX, game design, spatial computing)

- Source: sales/, marketing/, finance/, strategy/ directory agents - Placement: specializations/business-functions/ - Inputs: Business context, functional requirements, strategic objectives - Outputs: Business process recommendations, strategic frameworks, functional expertise - Complexity: complex

• **business-function-expertise**: Specialized business domain knowledge across sales, marketing, finance, and strategy functions

Plugin Ideas

None - this repository contains expert personas and role-based content which are not valid babysitter marketplace plugin concepts.

Implicit Procedural Knowledge

- Source: Agent personality design patterns with domain expertise integration - Placement: methodologies/personality-driven-ai/ - Why codify: Provides framework for creating more engaging and contextually consistent domain expertise delivery - Sketch: Domain analysis → Personality framework design → Knowledge integration → Communication style development → Consistency validation

• **Personality-Driven Expertise Delivery**: Methodology for embedding domain knowledge within consistent agent personalities for enhanced user experience

- Source: Battle-tested consultation patterns across multiple business domains - Placement: specializations/consultation-frameworks/ - Why codify: Systematic approach to creating more natural expert-client interaction patterns in AI systems - Sketch: Domain expertise mapping → Consultation structure design → Communication pattern development → Outcome measurement → Iterative refinement

• **Expert Consultation Patterns**: Framework for structuring AI agent interactions as expert consultations rather than tool-based workflows

- Source: Multi-domain agent collection with potential for expert coordination - Placement: specializations/expert-orchestration/ - Why codify: Framework for managing complex projects requiring multiple types of expertise working in coordination - Sketch: Expert selection → Role definition → Coordination patterns → Communication protocols → Deliverable integration → Quality assurance

• **Cross-Domain Expert Coordination**: Process for orchestrating multiple domain experts in complex scenarios requiring interdisciplinary collaboration

Library Mapping

Plugin Marketplace Mapping