screen-reader-testing
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues,…
Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing
$ npx -y skills add wshobson/agents --skill team-composition-analysis --agent claude-codeHow it fires
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/team-composition-analysisContext preview
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Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing
name: team-composition-analysis description: Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing org structure, or building a hiring budget aligned to funding milestones. version: 1.0.0
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
Originally a 1720-byte section in this SKILL.md. Moved to `references/details.md` to fit Codex's 8 KB skill body cap.
**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:**
Production-ready agentic workflow building blocks: 94 plugins, 202 agents, 183 skills, 105 commands — built for Claude Code and consumed natively by OpenAI Codex CLI, Cursor, OpenCode, the Antigravity CLI, GitHub Copilot, and Pi from a single Markdown source.
Repo: wshobson/agents
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