菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
TOPdesk Action Sequences and automation design. Use for action sequence triggers, webhooks, API calls, payload mapping, idempotency, retries, error handling, safe automation boundaries, audit logging, and automation monitoring.
TOPdesk administration and configuration design. Use for categories, statuses, priorities, impact/urgency, supporting files, branches, persons, operators, operator groups, permissions, SSP forms, service catalog items, change templates, asset templates, knowledge visibility, and configuration governance.
Build TOPdesk AI/KI adoption ledgers and monitoring summaries from suggestion logs, operator feedback, acceptance/edit/rejection events, override reasons, confidence, cost estimates, prompt/model versions, and value assumptions.
Generate complete governed AI/KI feature packs for TOPdesk. Use for turning an AI use case into feature scope, data contract, prompt design, JSON output schema, evaluation dataset, feedback loop, audit fields, rollout gates, Power BI monitoring measures, RLS/PII controls, and operator-facing acceptance criteria.
Design Power BI governance cockpits for TOPdesk AI/KI features. Use for AI monitoring datasets, semantic models, DAX measures, report pages, prompt/model version tracking, suggestion acceptance, override reasons, confidence drift, cost, token usage, SLA impact, PII/policy findings, feedback loops, evaluation results, RLS, and audit reporting.
Design, implement, and evaluate AI/KI features for TOPdesk workflows. Use for ticket classification, smart routing, summaries, response suggestions, knowledge article generation, semantic search, RAG, chatbot/self-service assistants, duplicate detection, SLA-risk prediction, prompt templates, JSON schemas, operator feedback loops, AI governance, and regression evaluation.
| name | topdesk-digital-twin-light |
| description | 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. |
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.
scripts/run_digital_twin_light.py.Baseline CSV columns:
metricvalueScenario CSV columns:
scenariohandoff_reduction_pctwaiting_reduction_pctreopen_reduction_pctcapacity_change_pctai_assist_pctconfidencedigital-twin-scenarios.csvdigital-twin-readout.mdreferences/digital-twin-light.md for supported scenario interpretation.