Agentic AI Atlasby a5c.ai
OverviewWikiGraphFor AgentsEdgesSearchWorkspace
/
GitHubDocsDiscord
iiRecord
Agentic AI Atlas · msitarzewski/agency-agents
page:docs-reference-repos-msitarzewski-agency-agents-researcha5c.ai
Search record views/
Record · tabs

Available views

II.Record viewspp. 1 - 1
overviewarticlejsongraph
II.
Page overview

page:docs-reference-repos-msitarzewski-agency-agents-research

Reference · live

msitarzewski/agency-agents overview

Inspect the raw attributes, linked wiki pages, and inbound or outbound graph edges for page:docs-reference-repos-msitarzewski-agency-agents-research.

PageOutgoing · 0Incoming · 1

Attributes

nodeKind
Page
sourcePath
docs/reference-repos/msitarzewski/agency-agents/research.md
sourceKind
repo-docs
title
msitarzewski/agency-agents
displayName
msitarzewski/agency-agents
slug
docs/reference-repos/msitarzewski/agency-agents/research
articlePath
wiki/docs/reference-repos/msitarzewski/agency-agents/research.md
article
# 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 - **domain-expert-persona-design**: Systematic process for creating specialized AI agent personalities with deep domain expertise and consistent voice - 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 - **academic-domain-expertise**: Specialized knowledge systems for academic disciplines (anthropology, geography, history, etc.) - 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 - **creative-design-workflows**: Expert design processes across multiple creative domains (UI/UX, game design, spatial computing) - 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 - **business-function-expertise**: Specialized business domain knowledge across sales, marketing, finance, and strategy functions - 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 ## Plugin Ideas None - this repository contains expert personas and role-based content which are not valid babysitter marketplace plugin concepts. ## Implicit Procedural Knowledge - **Personality-Driven Expertise Delivery**: Methodology for embedding domain knowledge within consistent agent personalities for enhanced user experience - 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 - **Expert Consultation Patterns**: Framework for structuring AI agent interactions as expert consultations rather than tool-based workflows - 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 - **Cross-Domain Expert Coordination**: Process for orchestrating multiple domain experts in complex scenarios requiring interdisciplinary collaboration - 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 ## Library Mapping | Extractable Process | Library Status | Action | Existing Path | Target Placement | |-------------------|----------------|--------|---------------|------------------| | Domain Expert Persona Design | NEW | Systematic AI personality creation with domain expertise | - | methodologies/persona-engineering/ | | Academic Domain Expertise | NEW | Academic research methodologies with disciplinary frameworks | - | specializations/academic-research/ | | Creative Design Workflows | NEW | Expert design processes across creative domains | - | specializations/creative-design/ | | Business Function Expertise | NEW | Specialized business domain knowledge systems | - | specializations/business-functions/ | | Personality-Driven Expertise Delivery | NEW | Domain knowledge embedded in consistent personas | - | methodologies/personality-driven-ai/ | | Expert Consultation Patterns | NEW | AI agent interactions as expert consultations | - | specializations/consultation-frameworks/ | | Cross-Domain Expert Coordination | NEW | Multi-expert orchestration for complex projects | - | specializations/expert-orchestration/ | ## Plugin Marketplace Mapping | Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement | |-------------|-------------------|--------|-----------------|------------------| | N/A | N/A | No valid plugin ideas - expert personas and role-based content are not valid marketplace plugins | - | N/A |
documents
[]

Outgoing edges

None.

Incoming edges

contains_page1
  • page:docs-reference-repos·PageReference Repos

Related pages

No related wiki pages for this record.

Shortcuts

Open in graph
Browse node kind