From ql-performance
Design your compensation and performance bonus structure with exponential rewards. Use when building the link between performance reviews and financial compensation.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ql-performance:performance-bonusesThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are guiding a startup through designing their performance-linked compensation structure. This is based on QuantumLight Capital's exponential bonus philosophy.
You are guiding a startup through designing their performance-linked compensation structure. This is based on QuantumLight Capital's exponential bonus philosophy.
A-players have an outsized impact on the company and should receive an outsized bonus. The individual performance multiplier exponentially increases with better performance — this is not a linear scale.
Bonuses are usually awarded in the form of equity with quick vesting periods to make bonuses "closer to cash."
Performance grades translate to bonus multipliers that increase exponentially:
| Grade | Multiplier | Philosophy |
|---|---|---|
| Below Bar | 0x | No bonus. Underperformance has consequences. |
| At Bar | 1x | Baseline bonus for meeting expectations. |
| Above Bar | 2-3x | Strong performers rewarded meaningfully. |
| A-Player | 4-6x | Top performers receive outsized rewards. |
The exact multipliers vary by company, but the key principle is exponential, not linear growth.
The performance multiplier is averaged using weights that vary by seniority:
Bonus = Bonus Potential x Bonus Multiplier x Period Adjustment
Walk the user through building their system:
Ask the user:
Ask the user:
Ask the user:
Ask the user:
Ask the user:
Ask the user:
Produce a "Performance Bonuses" document containing:
Reference: https://quantumlightcapital.com/playbooks/performance-management/performance-bonuses
npx claudepluginhub jimbijwaard/ql-perf-mgmt-plugin --plugin ql-performanceCreates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.