스킬 data-capability-enablement-team

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data-capability-enablement-team

Name: data-capability-enablement-team
Author: 图灵数盟

콘텐츠 리비전 r1 안전 📁 파일 시스템 접근⚙️ 외부 명령어🌐 네트워크 접근

Build a Data Capability Enablement Plan

Organizations often struggle to separate platform automation from work requiring human judgment. This skill creates coordinated platform and training plans for distinct roles.

지원: Claude Codex Code(CC)

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내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

Review the Skillstore skill "data-capability-enablement-team" from https://skillstore.io/skills/dhturing-data-capability-enablement-team.md and its manifest at https://skillstore.io/api/skills/dhturing-data-capability-enablement-team/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/dhturing-data-capability-enablement-team.md 서명된 manifest GET /api/skills/dhturing-data-capability-enablement-team/manifest 서명된 lockfile GET /api/skills/dhturing-data-capability-enablement-team/lockfile

테스트해 보기

"data-capability-enablement-team" 사용 중입니다. Assess whether our inventory, quality, ledger, and commercialization tools should become one platform.

예상 결과:

Current-state module map with overlaps and gaps
Automation and human judgment boundary
Phased integration roadmap
Role-based adoption training plan

"data-capability-enablement-team" 사용 중입니다. Create training for executives, finance, data specialists, and business teams.

예상 결과:

Separate learning objectives for each role
Courses limited to practical session lengths
Case exercises, simulations, and assessments
Source, duration, and delivery assumptions

"data-capability-enablement-team" 사용 중입니다. Prepare a complete data capability enablement proposal.

예상 결과:

A phased proposal covering diagnosis, boundaries, platform modules, curriculum, deliverables, quality checks, risks, and assumptions.

보안 감사

안전

v1 • 2026. 9. 27. 버전별 보고서 열기

All 11 static findings are false positives caused by documentation paths, Markdown backticks, public website links, or entropy heuristics on Chinese text. No executable code, network request, obfuscated payload, prompt injection, or harmful intent was found.

스캔된 파일

264

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

📁 파일 시스템 접근 (2)

profile.md:38 profile.md:38

⚙️ 외부 명령어 (2)

SKILL.md:20 SKILL.md:35

🌐 네트워크 접근 (2)

SKILL.md:6 SKILL.md:12

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-data-capability-enablement-team/security.svg)](https://skillstore.io/skills/dhturing-data-capability-enablement-team?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/dhturing-data-capability-enablement-team?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-capability-enablement-team/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/dhturing-data-capability-enablement-team.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

학술 인용 (APA · BibTeX · CFF)

APA 인용

图灵数盟. (2026). data-capability-enablement-team security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1

BibTeX 인용

@techreport{dhturing-data-capability-enablement-team-2026,
  author = {图灵数盟},
  title = {data-capability-enablement-team security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-capability-enablement-team security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-data-capability-enablement-team:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

Plan an Enterprise Enablement Program

Separate automation opportunities from human decisions, then create a phased platform and training roadmap.

Design Role-Based Data Training

Build differentiated course paths, exercises, and assessments for four organizational role groups.

Consolidate Data Asset Tools

Map existing tools into platform modules, identify gaps, and plan user training for deployment.

이 프롬프트를 사용해 보세요

Identify Capability Priorities

Our goal is [goal]. Our current systems are [systems]. Identify the first platform and training priorities for [roles].

Separate Automation and Judgment

Review these activities: [activities]. Classify each as automatable, human-led, or hybrid. Explain the boundary and required controls.

Create a Role-Based Curriculum

Design a curriculum for executives, finance, data teams, and business teams. Include objectives, source materials, duration, practice, and assessment.

Build an Integrated Delivery Plan

Using [goals], [tools], [roles], [constraints], and [timeline], create an integrated platform roadmap and training plan. Include deliverables, dependencies, quality checks, risks, and assumptions.

모범 사례

Provide clear goals, current tools, role groups, constraints, and data literacy levels.
Verify policies, prices, and timelines against current authoritative sources.
Remove sensitive client data from cases, examples, and public training materials.

피하기

Do not use one identical curriculum for every organizational role.
Do not automate activities before defining where human judgment remains necessary.
Do not present training or platform deployment as a guaranteed compliance or financing result.