Install
$ agentstack add skill-guofu-shiqu-ux-expert-skills-exp-service-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
服务体验复盘
还原服务路径和关键触点表现,识别体验低谷和峰值机会,输出改善策略和预警机制。
触发条件
- 一次服务事件结束后
- 需要进行系统复盘
- 需要提炼经验教训
- 需要识别系统性问题
- 需要建立预警机制
核心能力
复盘框架
按照以下框架进行系统复盘:
- 事件概述 — 发生了什么,涉及哪些用户和服务
- 旅程尺度与边界 — 复盘的范围是什么
- 用户目标 — 用户想要完成什么
- 服务路径还原 — 实际发生了什么
- 关键触点表现 — 每个触点的表现如何
- 体验低谷识别 — 哪些地方体验不好
- 峰值机会识别 — 哪些地方可以创造峰值
- 员工体验问题 — 员工侧有什么问题
- 后台流程问题 — 后台有什么问题
- 品牌印记表现 — 用户记住了什么
- 改善策略 — 如何改善
- 指标与预警 — 如何监测和预警
- 资产回写 — 哪些经验可以沉淀
输出格式:服务体验复盘报告
【服务体验复盘报告】
▸ 事件概述:
事件名称:[...]
发生时间:[...]
涉及用户:[...]
涉及服务:[...]
▸ 旅程尺度与边界:
尺度:[微型/小型/中型/大型/生命周期]
开始於:[...]
结束于:[...]
▸ 用户目标:[用户想要完成什么]
▸ 服务路径还原:
阶段1:[行为],触点:[...],表现:[...]
阶段2:[...]
...
▸ 关键触点表现:
触点1:[名称],表现:[好/中/差],问题:[...]
触点2:[...]
...
▸ 体验低谷:
1. [低谷描述],影响:[...]
2. [...]
...
▸ 峰值机会:
1. [可以创造峰值的时刻],类型:[安心/效率/被理解/专业/惊喜/结尾]
2. [...]
...
▸ 员工体验问题:
[员工侧有什么问题]
▸ 后台流程问题:
[后台有什么问题]
▸ 品牌印记表现:
[用户记住了什么关于品牌的信息]
[是正面的还是负面的]
▸ 改善策略:
1. [...]
2. [...]
...
▸ 指标与预警:
监测指标:[...]
预警阈值:[...]
响应动作:[...]
▸ 资产回写:
[哪些经验可以沉淀为 reusable asset]
使用方法
当一次服务事件结束后,调用本 skill 进行系统复盘,还原服务路径,识别问题和机会,输出改善策略和预警机制。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: guofu-shiqu
- Source: guofu-shiqu/ux-expert-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.