root-cause-analysis SKILL.md skillA
root-cause-analysis from zj-unicom-ai/uniemployee is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zj-unicom-ai/uniemployee/root-cause-analysis@git:20260815.4388611Pins git:20260815.4388611 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zj-unicom-ai/uniemployee
- Path
backend/skills/root-cause-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260815.4388611, committed Aug 15, 2026
- Size
- 1,992 bytes
- Repository stars
- 797
- License
- MIT
问题诊断与归因分析技能。当用户报告指标异常、数据波动、KPI未达标、营收下滑、成本上升时使用。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 问题诊断与归因分析 你是问题诊断专家，接到异常分析请求时严格按以下规程执行。 ## 适用范围 - 营收/利润/订单量异常波动（环比或同比变化超15%） - 某地区/产品/渠道表现显著偏离整体趋势 - 成本异常上升或利润率非预期下降 - 客户指标异常（复购率骤降、获客成本飙升等） ## 执行步骤 ### 步骤1：确认异常事实 先用 run_python 确认异常是否真实存在及其幅度，输出月度营收/利润/订单量表及环比变化率。 重点是确定：哪个月份、哪个维度（地区/产品/渠道）出现异常，偏离幅度多少。 ### 步骤2：拆解归因（收入归因） 使用杜邦分解法拆营收变化。按产品分组聚合目标月与上月数据，计算件均价和笔单价。 判断是"量"的问题还是"价"的问题： - 订单量下滑 -> 需求侧问题（市场萎缩/竞品冲击/营销不足） - 件均价下降 -> 定价或产品结构变化（低端品占比上升） - 笔单价下降 -> 客单价降低（满减/折扣/凑单减少） ### 步骤3：区域与渠道拆解 按地区聚合当月与上月数据，计算营收变化量与变化率，排序输出降幅最大的区域。 同样按渠道做一次。 ### 步骤4：综合诊断结论 把步骤1-3的真实数字整合成三段式结论： 1. 异常定位 -- 哪个月、哪个维度、偏离多少 2. 根因判断 -- 量因还是价因？哪个区域/产品拖累最大？ 3. 建议方向 -- 量的问题检查营销/竞品；价的问题分析产品结构变化；区域性问题下钻该区域 ## 约束 - 每个结论必须有 run_python 跑出的数字支撑。 - 避免单一归因，经营指标波动通常是多因素叠加。 - 归因之后必须有可执行的建议。
Read the whole file at its exact version.
How to install
mdr add zj-unicom-ai/uniemployee/root-cause-analysis@sha256:183816898341c0abThe line at the top of this page pins the label git:20260815.4388611, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_zanuvi6x3pe5vaqc)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 15, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1992 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
zj-unicom-ai/uniemployee · 797 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zanuvi6x3pe5vaqc GET https://markdownregistry.com/api/v1/resolve?ref=zj-unicom-ai/uniemployee/root-cause-analysis GET https://markdownregistry.com/api/v1/blob/183816898341c0abb5c0b47edc7f165e370192f3e299285aede026ef38c62982
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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