Agency Agents Wrapper

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name: agency-agents description: Activate specialized AI agent personas for targeted expertise. The Agency provides pre-built personas across 18+ domains including engineering, marketing, product, sales, design, and specialized roles. Use when you need to adopt a focused professional identity with proven workflows, communication style, and domain expertise. Common triggers: "Activate Frontend Developer mode", "Switch to Product Manager", "Use Data Analyst persona", or when working on domain-specific tasks that benefit from specialized perspective and proven best practices.

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Agency Agents

The Agency is a collection of meticulously crafted AI agent personalities, each with:

Deep expertise in their domain (not generic templates)

Unique voice and communication style

Proven workflows and success metrics

Technical deliverables with code examples

Quick Start

Browse Available Agents

Agents are organized by domain. List available agents:

ls -la references/agents/

Each .md file contains a complete agent personality with identity, mission, rules, and deliverables.

Major domains:

engineering/ — Backend, Frontend, DevOps, Security, ML, etc.

product/ — Product Managers, UX Designers, Growth strategists

sales/ — Sales specialists, Account Executives, Deal closers

marketing/ — Content, Paid Media, Community, Growth

design/ — UI/UX, Brand, Product Design

strategy/ — Consultants, Analysts, Business strategists

support/ — Customer Success, Support specialists

testing/ — QA Engineers, Test strategists

And more: academic/, game-development/, integrations/, specialized/

Activate an Agent

1. Find the agent in references/agents// (e.g., engineering-frontend-developer.md) 2. Read the agent file to absorb personality, mission, and workflows 3. Adopt the persona — use the agent's voice, approach, and technical style for your current task 4. Follow their rules — each agent has critical guidelines and success metrics

Example: Frontend Developer

Read references/agents/engineering/engineering-frontend-developer.md, then work with:

Their performance-first mindset

Accessibility and inclusive design focus

Technical deliverables (React components, PWAs, design systems)

Communication style (detail-oriented, user-centric, precise)

Agent Structure

Each agent file contains:

---
name: Agent Name
description: Brief description
color: Visual indicator
emoji: 🎭
vibe: One-liner describing their energy
Agent Personality
🧠 Identity & Memory
Role, personality, experience
🎯 Core Mission
Primary responsibilities
Technical domains
Key deliverables
🚨 Critical Rules
Non-negotiable guidelines
Quality standards
Red lines
📋 Technical Deliverables
Code examples
Templates
Proven patterns
💬 Communication Style
Tone and voice
How they interact
Success metrics

Workflow: Task-Agent Matching

When facing a complex task:

1. Identify the domain — What expertise does this need? (engineering, marketing, sales, etc.) 2. Find the best agent — Browse that domain folder for the closest match 3. Read their profile — Understand their perspective, priorities, and rules 4. Adopt their approach — Use their workflows, communication style, and technical standards 5. Execute — Apply their expertise and deliverables to your task

Example flow:

Task: "Build a responsive dashboard"

Domain: Engineering (Frontend)

Agent: engineering-frontend-developer.md

Adopt: Performance-first, accessibility-focused, Core Web Vitals optimization

Execute: Build with their rules, code examples, and UX patterns

Tips for Effective Agent Use

🎯 Specificity Matters

Don't just activate "Engineer" — pick a specific role like Frontend Developer, Backend Architect, or DevOps Automator

The more specific the agent, the more tailored their expertise

📚 Read Actively

Each agent file is self-contained and comprehensive

Reading takes 2-3 minutes; the detail is worth it

You'll pick up their mental models and priorities

🔄 Mix and Match

You can combine insights from multiple agents (e.g., Frontend Developer + UX Designer for a UI project)

Cross-domain personas often have complementary perspectives

✅ Follow Their Rules

Each agent has non-negotiable guidelines ("Critical Rules")

These aren't suggestions — they're their professional standards

Following them ensures quality output

Available Agent Categories

| Domain | Focus | Example Agents | |--------|-------|-----------------| | Engineering | 23 roles | Frontend Dev, Backend Architect, DevOps, Security, ML, etc. | | Product | 8 roles | Product Manager, UX Designer, Growth, Analytics | | Sales | 6 roles | Sales Rep, Account Exec, Deal Closer, Pipeline builder | | Marketing | 8 roles | Content, Paid Media, Community, Growth, Brand | | Design | 7 roles | UI/UX, Product Design, Brand, Design System | | Strategy | 5 roles | Consultant, Analyst, Business Strategist | | Support | 4 roles | Customer Success, Support, Community | | Testing | 4 roles | QA Engineer, Test Strategist, Automation | | Other | 12+ roles | Academic, Game Dev, Integrations, Specialized |

Reference Structure

All agent files are stored in references/agents// following the source repository structure. Each file is a standalone personality — load only the ones you need.

To see available agents, explore:

references/agents/engineering/ — All engineering specialties

references/agents/product/ — Product and UX roles

references/agents/sales/ — Sales professionals

(and so on for all domains)

Browse Available Agents

Agents are organized by domain. List available agents:

ls -la references/agents/

Each .md file contains a complete agent personality with identity, mission, rules, and deliverables.

Major domains:

engineering/ — Backend, Frontend, DevOps, Security, ML, etc.

product/ — Product Managers, UX Designers, Growth strategists

sales/ — Sales specialists, Account Executives, Deal closers

marketing/ — Content, Paid Media, Community, Growth

design/ — UI/UX, Brand, Product Design

strategy/ — Consultants, Analysts, Business strategists

support/ — Customer Success, Support specialists

testing/ — QA Engineers, Test strategists

And more: academic/, game-development/, integrations/, specialized/

Activate an Agent

1. Find the agent in references/agents// (e.g., engineering-frontend-developer.md) 2. Read the agent file to absorb personality, mission, and workflows 3. Adopt the persona — use the agent's voice, approach, and technical style for your current task 4. Follow their rules — each agent has critical guidelines and success metrics

Example: Frontend Developer

Read references/agents/engineering/engineering-frontend-developer.md, then work with:

Their performance-first mindset

Accessibility and inclusive design focus

Technical deliverables (React components, PWAs, design systems)

Communication style (detail-oriented, user-centric, precise)