You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
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This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A.
Build the right team at the right time with appropriate compensation and equity. Plan role-by-role hiring aligned with revenue milestones, budget constraints, and market benchmarks.
Team Size: 2-5 people
Core Roles:
Focus: Build and validate product-market fit
Team Size: 5-15 people
Key Hires:
Focus: Scale product and prove repeatable sales
Team Size: 15-50 people
Department Build-Out:
Focus: Scale revenue and build repeatable processes
Pre-Seed:
Seed:
Series A:
Pre-Seed:
Seed:
Series A:
Pre-Seed:
Seed:
Series A:
Pre-Seed:
Seed:
Series A:
Pre-Seed:
Seed:
Series A:
Engineering:
Sales:
Product:
Marketing:
Customer Success:
Total Comp = Base Salary × 1.30 (benefits & taxes) + Equity Value
Fully-Loaded Cost:
Rule of Thumb: Multiply base salary by 1.3-1.4 for fully-loaded cost
San Francisco / New York: +20-30% above benchmarks Seattle / Boston / Los Angeles: +10-20% Austin / Denver / Chicago: +0-10% Remote / Other US Cities: -10-20% International: Varies widely by country
Founders:
Early Employees (Pre-Seed):
Seed Stage Hires:
Series A Hires:
Option Pool by Round:
Pre-Funding Dilution: Investors often require option pool creation before investment, diluting founders.
Example:
Pre-money: $10M
Investors want 15% option pool post-money
Calculation:
Post-money: $15M ($10M + $5M investment)
Option pool: $2.25M (15% × $15M)
Founders diluted by pool creation before new money
Pre-Seed:
Founders (flat structure)
├── Contractors
└── First hires (report to founders)
Seed:
CEO
├── Engineering Lead (2-4 engineers)
├── Sales/Growth Lead (1-2 reps)
├── Product Manager
└── Operations
Series A:
CEO
├── CTO / VP Engineering (6-20 people)
│ ├── Engineering Manager(s)
│ └── Individual Contributors
├── VP Sales (5-15 people)
│ ├── Sales Manager
│ ├── Account Executives
│ └── SDRs
├── Head of Product (2-5 people)
│ ├── Product Managers
│ └── Designers
├── Head of Customer Success (2-5 people)
└── CFO / Finance Lead (2-5 people)
├── Recruiter
└── Operations
Manager Ratios:
Full-Time:
Contract:
Role Opening to Hire:
Time to Productivity:
Always add 2-3 months buffer to hiring plans.
Example: If need engineer by July 1:
Early Stage (Seed):
Growth Stage (Series A):
Total Comp Budget = Σ (Role Count × Fully-Loaded Cost × % of Year)
Example:
3 Engineers × $202K × 100% = $606K
2 AEs × $230K × 75% (mid-year start) = $345K
1 PM × $162K × 100% = $162K
Total: $1.1M
To plan team composition:
For detailed compensation benchmarks and hiring plan templates, see references/ and examples/.
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You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
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Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
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Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.
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