# Topdesk Process Debt

> Analyze TOPdesk lifecycle, incident, SLA, status-transition, assignment-transition, and reopen evidence for process debt such as handoff loops, waiting zones, stale ownership, long runners, category-routing waste, and improvement backlog candidates.

- Skill: `rweisssieker-xp/topdesk-process-debt` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/topdesk-process-debt`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/topdesk-process-debt/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-process-debt

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# TOPdesk Process Debt

Use this skill when a user wants to turn TOPdesk operational friction into evidence-backed improvement work.

## Workflow

1. Gather lifecycle evidence: incident snapshots, status transitions, assignment transitions, SLA findings, reopen flags, category/status/operator-group fields.
2. Run `scripts/analyze_process_debt.py` when CSV exports are available.
3. Review findings for handoff loops, waiting zones, stale ownership, reopen patterns, long runners, and routing/category debt.
4. Convert findings into an improvement backlog with owner, recommended action, and validation metric.
5. Use the generated CSV and Markdown report as the process-debt evidence pack for backlog and management review.

## Outputs

- `process-debt-findings.csv`
- `process-debt-report.md`

## References

- Load `references/process-debt.md` for debt patterns, severity, and remediation examples.