npx skills add a5c-ai/babysitter --skill varicent-icm --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Varicent ICM ## Overview The Varicent ICM skill provides integration with Varicent's (formerly IBM) incentive compensation management platform for plan administration, commission calculations, territory management, and performance analytics. This skill ensures enterprise-grade compensation management with robust audit capabilities. ## Capabilities ### Plan Administration - Manage compensation plan configurations - Handle plan versioning and effective dates - Configure rate tables and tiers - Maintain participant assignments ### Commission Calculations - Execute commission calculations - Process complex crediting rules - Handle adjustments and corrections - Generate payment files ### Territory Management - Define and manage territories - Assign accounts to territories - Track territory changes - Handle overlay and split rules ### Performance Analytics - Generate performance reports - Track attainment metrics - Analyze plan effectiveness - Support audit requirements ## Usage ### Plan Configuration ``` Configure a new compensation plan with appropriate rate tables, accelerators, and crediting rules. ``` ### Commission Processing ``` Execute commission calculations for a pay period a
- Overview
- Capabilities
- Plan Administration
- Commission Calculations
- Territory Management
- Performance Analytics
- Usage
- Plan Configuration
- Commission Processing
- Territory Updates
- Enhances Processes
- Dependencies
What does the varicent-icm skill do?
Varicent incentive compensation management platform
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill varicent-icm --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.