# Topdesk Digital Twin Light

> Run lightweight TOPdesk service desk what-if scenario scoring from baseline KPIs and scenario assumptions for routing, SLA thresholds, operator capacity, category cleanup, AI assistance, handoff reduction, and backlog improvement decisions.

- Skill: `rweisssieker-xp/topdesk-digital-twin-light` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/topdesk-digital-twin-light`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/topdesk-digital-twin-light/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/topdesk-digital-twin-light

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# TOPdesk Digital Twin Light

Use this skill when a team needs a concrete, inspectable what-if comparison before changing TOPdesk routing, SLA focus, capacity, categories, or AI-assisted triage.

## Workflow

1. Gather a baseline KPI CSV and a scenario assumptions CSV.
2. Run `scripts/run_digital_twin_light.py`.
3. Review scenario score, expected KPI movement, assumptions, confidence, and recommended pilot.
4. Present the result as decision support. Do not present it as a forecast guarantee.

## Inputs

Baseline CSV columns:

- `metric`
- `value`

Scenario CSV columns:

- `scenario`
- `handoff_reduction_pct`
- `waiting_reduction_pct`
- `reopen_reduction_pct`
- `capacity_change_pct`
- `ai_assist_pct`
- `confidence`

## Outputs

- `digital-twin-scenarios.csv`
- `digital-twin-readout.md`

## References

- Load `references/digital-twin-light.md` for supported scenario interpretation.