TopRank Skills

Home / Claw Skills / Git / GitHub / Afrexai Sales Compensation
Official OpenClaw rules 36%

Afrexai Sales Compensation

Sales Compensation Plan Designer

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Sales Compensation 技能。 若已安装,则直接安装 Afrexai Sales Compensation 技能。

Overview

Skill Key
1kalin/afrexai-sales-compensation
Author
1kalin
Source Repo
openclaw/skills
Version
-
Source Path
skills/1kalin/afrexai-sales-compensation
Latest Commit SHA
8305564665f1799778a4cff15139241f878ab56f

Extracted Content

SKILL.md excerpt

# Sales Compensation Plan Designer

Design, audit, and optimize sales compensation structures that actually drive the behavior you want. Covers quota setting, OTE splits, accelerators, clawbacks, SPIFs, and multi-role plan architectures.

## When to Use
- Designing comp plans for new sales roles (AE, SDR, CSM, SE, Channel)
- Auditing existing plans for misaligned incentives
- Modeling plan costs and quota coverage ratios
- Building accelerator/decelerator curves
- Comparing comp structures across industry benchmarks

## Compensation Plan Framework

### Step 1: Role Classification
Classify the role before designing comp:

| Role Type | Typical OTE | Base/Variable Split | Quota Multiple |
|-----------|-------------|--------------------:|----------------|
| SDR/BDR | $65K-$90K | 70/30 | 3-5x variable |
| AE (SMB) | $100K-$140K | 50/50 | 4-6x OTE |
| AE (Mid-Market) | $150K-$200K | 50/50 | 4-5x OTE |
| AE (Enterprise) | $200K-$300K+ | 60/40 | 3-4x OTE |
| CSM/AM | $90K-$130K | 65/35 | 4-6x variable |
| Sales Engineer | $130K-$180K | 70/30 | Team-based |
| VP Sales | $250K-$400K+ | 55/45 | 2-3x OTE |
| Channel/Partner | $120K-$160K | 60/40 | 3-5x variable |

### Step 2: Quota Setting Methodology
Use bottom-up capacity model:

1. **TAM Analysis** — addressable market in territory
2. **Historical Performance** — trailing 4-quarter attainment distribution
3. **Ramp Adjustment** — new hires at 25/50/75/100% quota months 1-4
4. **Coverage Ratio** — pipeline-to-quota (3x minimum for new business, 2x for expansion)
5. **Quota:OTE Ratio** — should be 4-6x. Below 3x = overpaying. Above 8x = nobody hits it.

Red flags in quota setting:
- Top-down only (board target ÷ headcount)
- Same quota for all territories regardless of TAM
- No ramp period for new hires
- Changing quotas mid-quarter
- More than 60% of reps missing quota (plan problem, not people problem)

### Step 3: Variable Compensation Design

**Base Structure:**
```
Monthly Variable = (Attainment % × Quota × Commission Ra...

README excerpt

# Sales Compensation Plan Designer

Design, audit, and optimize sales comp plans that drive the right behavior. Covers AE, SDR, CSM, SE, Channel, and VP-level plan architectures with 2026 benchmarks.

## What's Inside

- **Role-specific OTE and split benchmarks** across 10 industries
- **Quota setting methodology** — bottom-up capacity model, not top-down guesswork
- **Accelerator/decelerator curve templates** with rate multipliers
- **Plan cost modeling** — bear/base/bull scenarios before you launch
- **10-point annual audit checklist** with scoring interpretation
- **SPIF design framework** for short-term behavioral nudges
- **Clawback provisions** — standard terms that protect without alienating
- **AI-era adjustments** — how AI agents change SDR comp, ramp times, and quotas

## Who It's For

- Revenue leaders designing or overhauling comp plans
- Sales ops teams modeling plan costs and coverage ratios
- Founders setting up their first sales comp structure
- CFOs auditing sales efficiency and CAC payback

## Quick Start

Tell your agent: *"Review our current sales comp plan using the sales compensation skill"*

Or: *"Design a comp plan for a mid-market AE role with $180K OTE"*

## 2026 Industry Benchmarks Included

SaaS, Fintech, Healthcare IT, Cybersecurity, AI/ML, Legal Tech, Construction Tech, Manufacturing, Professional Services, Real Estate Tech.

---

**Get your full industry AI strategy pack →** [afrexai-cto.github.io/context-packs](https://afrexai-cto.github.io/context-packs/) ($47/pack)

**Calculate your AI revenue leak →** [afrexai-cto.github.io/ai-revenue-calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)

**Configure your AI agent workforce →** [afrexai-cto.github.io/agent-setup](https://afrexai-cto.github.io/agent-setup/)

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) 🖤💛

Related Claw Skills

heyixuan2

bambu-studio-ai

★ 41

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pipeline: search → generate → analyze → colorize → preview → open BS → user slice → print → monitor. Supports all 9 Bambu Lab printers (A1 Mini, A1, P1S, P2S, X1C, X1E, H2C, H2S, H2D).

capt-marbles

geo-optimization

★ 1

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.

carlulsoe

parakeet-stt

★ 0

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.

carlzhao007

feishu-process-feedback

★ 0

飞书消息自动处理与进度反馈技能。安装后后台运行,监听飞书任务消息并自动创建独立进程处理。 在处理前后发送实时进度反馈(任务确认、进度百分比、完成通知)。 支持任务类型识别、智能解析、错误重试、并发控制、状态持久化。 使用场景:飞书自动化工作流、任务进度追踪、批量任务处理、需要实时反馈的场景。

cartoonitunes

bottyfans

★ 0

BottyFans agent skill for autonomous creator monetization. Lets AI agents register, build a profile, publish posts (public, subscriber-only, or pay-to-unlock), upload media, accept USDC subscriptions and tips on Base, send and receive DMs, track earnings, and appear on the creator leaderboard. Use this skill when an agent needs to monetize content, interact with fans, manage a creator profile, handle payments in USDC, or operate as an autonomous creator on the BottyFans platform.

camopel

arxivkb

★ 0

Local arXiv paper manager with semantic search. Crawls arXiv categories, downloads PDFs, chunks content, and indexes with FAISS + Ollama embeddings. No cloud API keys required — everything runs locally.