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Agent Skill · 效率

afrexai-sales-compensation(afrexai 销售报酬)

afrexai-sales-compensation 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

afrexai-sales-compensation 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 3,704。

总安装 15,876周安装 675GitHub Stars 公开资料未说明下载 5,562核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:afrexai-sales-compensation(afrexai 销售报酬)
来源仓库:https://github.com/1kalin/afrexai-sales-compensation
安装命令:
openclaw skills install afrexai-sales-compensation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install afrexai-sales-compensation

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

设计和优化销售薪酬计划,包括配额、OTE 分割和多角色结构。适合在 OpenClaw 中需要激励机制和绩效对齐时使用。提供加速器、回拨和 SPIF 等复杂结构的建模支持。安装命令:openclaw skills install afrexai-sales-compensation,需确认 HR 系统权限。

建议核实是否会写入员工薪资数据或触发 payroll 系统。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install afrexai-sales-compensation;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

afrexai-sales-compensation 怎么安装?

在终端执行 openclaw skills install afrexai-sales-compensation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

afrexai-sales-compensation 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

afrexai-sales-compensation 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

afrexai-sales-compensation 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

afrexai-sales-compensation 用的人多吗?

公开数据是累计安装 15,876 次,近一周安装 675 次,下载 5,562 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

afrexai-sales-compensation 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
afrexai-sales-compensation

afrexai 销售报酬 · 本页

15,876—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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 TypeTypical OTEBase/Variable SplitQuota Multiple
SDR/BDR$65K-$90K70/303-5x variable
AE (SMB)$100K-$140K50/504-6x OTE
AE (Mid-Market)$150K-$200K50/504-5x OTE
AE (Enterprise)$200K-$300K+60/403-4x OTE
CSM/AM$90K-$130K65/354-6x variable
Sales Engineer$130K-$180K70/30Team-based
VP Sales$250K-$400K+55/452-3x OTE
Channel/Partner$120K-$160K60/403-5x 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 Rate)

Accelerator Tiers (recommended):

AttainmentRate MultiplierRationale
0-50%0.5xBelow threshold — reduced payout
50-80%0.8xApproaching target — building momentum
80-100%1.0xAt plan — full commission rate
100-120%1.3xAbove plan — reward overperformance
120-150%1.5xPresident's Club territory
150%+1.8-2.0xUncapped or soft cap (model both)

Commission Rate Benchmarks:

  • New Business: 8-12% of ACV
  • Expansion/Upsell: 4-8% of ACV
  • Renewal: 1-3% of ACV
  • Multi-year: 1.2-1.5x first-year rate

Step 4: Plan Component Mix

For complex plans, weight components:

ComponentWeightMetric
New Logo Revenue50-60%New ACV closed
Expansion Revenue20-30%Net expansion ACV
Strategic Objective10-20%Product mix, multi-year, strategic accounts
Activity Metrics0-10%Pipeline generated (SDRs only)

Rule: Never more than 3 variable components. Complexity kills motivation.

Step 5: Clawback and Recovery Provisions

Standard terms:

  • Churn clawback: Pro-rata recovery if customer churns within 6-12 months
  • Non-payment clawback: Commission reversed if invoice unpaid >90 days
  • Early termination: Unvested accelerators forfeit on voluntary departure
  • Draw recovery: Unearned draws recovered from future commissions (max 2 quarters)

Step 6: SPIF Design (Short-term Incentive)

Use SPIFs for 2-4 week behavioral nudges:

  • New product launch push ($500-$2,000 per deal)
  • Quarter-end pipeline acceleration
  • Competitive displacement bonus
  • Multi-year contract premium

SPIF rules:

  • Max 4 per year (they lose impact if constant)
  • Clear start/end dates
  • Simple qualification (one metric)
  • Immediate payout (within 2 weeks of close)

Step 7: Plan Cost Modeling

Model these scenarios before launching:

  1. Bear case: 40% of reps at 80% attainment → total comp cost
  2. Base case: 60% at quota, 20% above, 20% below → total comp cost
  3. Bull case: 80% at 110%+ attainment → total comp cost (check for budget blow-up)

Healthy ratios:

  • Sales comp as % of revenue: 15-25% (SaaS)
  • CAC payback: <18 months
  • Quota:OTE: 4-6x
  • Rep productivity: >$500K ACV/AE/year at maturity

Step 8: Annual Plan Audit Checklist

Score each item 1-10:

  1. ☐ Quota attainment distribution (bell curve centered at 100%?)
  2. ☐ Voluntary turnover of quota-carrying reps (<15%?)
  3. ☐ Time-to-ramp for new hires (meeting benchmark?)
  4. ☐ Deal size trends (growing or shrinking?)
  5. ☐ Discount depth (comp plan driving discounting?)
  6. ☐ Multi-year mix (incentive working?)
  7. ☐ Product mix (strategic products getting traction?)
  8. ☐ Comp cost as % of revenue (in healthy range?)
  9. ☐ Accelerator payouts (are top reps being rewarded enough?)
  10. ☐ Clawback frequency (too high = bad customers, too low = loose terms)

Score interpretation:

  • 80-100: Plan is working. Minor tweaks only.
  • 60-79: 2-3 components need redesign.
  • Below 60: Full plan overhaul needed.

2026 Benchmarks by Industry

IndustryAvg AE OTEBase/VarQuota:OTEAvg Attainment
SaaS$165K50/505x62%
Fintech$185K55/454.5x58%
Healthcare IT$155K55/455x65%
Cybersecurity$175K50/504x60%
AI/ML$190K50/504x55%
Legal Tech$145K55/455.5x68%
Construction Tech$135K55/456x70%
Manufacturing$140K60/405.5x67%
Professional Services$150K55/455x64%
Real Estate Tech$130K55/456x72%

Common Mistakes

  1. Capping commissions — your best reps will leave for uncapped plans
  2. Quarterly resets with no floor — creates sandbagging and feast/famine
  3. Too many metrics — if reps can't calculate their own comp, the plan fails
  4. Equal quotas across unequal territories — punishes reps in harder markets
  5. Changing plans mid-year — destroys trust faster than anything else
  6. No accelerators — linear plans don't motivate above-quota performance
  7. Ignoring ramp periods — new hire attrition spikes when they can't earn early

AI-Era Adjustments (2026+)

Sales teams using AI agents for prospecting, qualification, and proposal generation are seeing:

  • 30-40% increase in rep capacity (more pipeline per AE)
  • SDR role compression (AI handles top-of-funnel → SDR quotas need restructuring)
  • Faster ramp times (AI-assisted onboarding cuts ramp by 30-45 days)
  • Higher quota expectations (adjust gradually — 10-15% annual increase, not 40% overnight)

Comp plan implications:

  • Shift SDR comp toward quality metrics (SQL conversion, not just meetings booked)
  • Add AI adoption component (5-10% of variable tied to tool utilization)
  • Model higher quotas with maintained OTE — don't cut OTE when raising quotas
  • Budget for AI tooling ($200-$500/rep/month) as sales cost, not IT cost

*Built by AfrexAI — AI context packs for businesses that ship.*

Get your industry-specific AI strategy pack: https://afrexai-cto.github.io/context-packs/ ($47/pack)

Calculate your AI revenue leak: https://afrexai-cto.github.io/ai-revenue-calculator/

平台分布

OpenClaw

77.42%
按下载量换算4,306

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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