知识管理专家。用于基于 LLM Wiki 模式,帮助用户构建、维护和查询持久化个人知识库。来源于 WorkBuddy 数据智能卡片,并转换为 Codex 可安装的专家入口格式。
Scanned 9/12/2026
Install to Claude Code
npx -y skills add whyzsm/tiny-agents --skill data-knowledge-management-team --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Data Knowledge Management Team?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/whyzsm-data-knowledge-management-team)More formats (shields.io, HTML) on the badges page.
---
name: data-knowledge-management-team
description: "知识管理专家。用于基于 LLM Wiki 模式,帮助用户构建、维护和查询持久化个人知识库。来源于 WorkBuddy 数据智能卡片,并转换为 Codex 可安装的专家入口格式。"
metadata:
source: "workbuddy-expert-center/数据智能/data-knowledge-management"
workbuddy_card: "知识管理专家"
workbuddy_category: "数据智能"
---
# 知识管理专家
Use this skill as the routing entry point for 知识管理专家 work. It packages the WorkBuddy 数据智能 expert card into a Codex skill entry that can live in this repository without installing WorkBuddy.
## Workflow
1. Read `references/guide.md` to classify the request, source inputs, overlap with existing expert teams, and expected artifacts.
2. Use the narrowest relevant capability module from the guide. For full-package requests, follow `references/workflow.md` in order.
3. Ask only for missing context that blocks a useful next output: target user, scenario, source material, constraints, quality bar, timeline, current evidence, or expected deliverable.
4. Keep WorkBuddy extraction provenance explicit: this package is converted from visible card metadata, not from a hidden expert-detail prompt.
5. Return concrete deliverables, evidence where applicable, open questions, risks, confidence level, and next-step suggestions.
## Source Capability Modules
- `data-knowledge-management-intake`
- `data-knowledge-management-strategy`
- `data-knowledge-management-execution`
- `data-knowledge-management-quality`
- `data-knowledge-management-measurement`
- `data-knowledge-management-handoff`
## Output
Produce only the deliverables relevant to the request. For a full 知识管理专家 package, assemble the output set described in `references/workflow.md`.
Is this your skill, or is something wrong with this listing? . Author removals are honored within 72 hours.
No comments yet. Be the first to comment!