スキル data-capability-enablement-team

📦

data-capability-enablement-team

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

コンテンツリビジョン r1 安全 📁 ファイルシステムへのアクセス⚙️ 外部コマンド🌐 ネットワークアクセス

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.

対応: Claude Codex Code(CC)

🥉 77 ブロンズ

Maintain this Skill? Claim it 🥉 77 ブロンズ

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト

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.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/dhturing-data-capability-enablement-team.md 署名済み manifest GET /api/skills/dhturing-data-capability-enablement-team/manifest 署名済み lockfile GET /api/skills/dhturing-data-capability-enablement-team/lockfile

テストする

「data-capability-enablement-team」を使用しています。 Assess whether our inventory, quality, ledger, and commercialization tools should become one platform.

期待される結果:

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」を使用しています。 Create training for executives, finance, data specialists, and business teams.

期待される結果:

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」を使用しています。 Prepare a complete data capability enablement proposal.

期待される結果:

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

セキュリティ監査

安全

v1 • 2026/9/27 バージョン別レポートを開く

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.

スキャンされたファイル

264

解析済み行数

レビュー項目

誤検知を無視

リスク要因

📁 ファイルシステムへのアクセス (2)

profile.md:38 profile.md:38

⚙️ 外部コマンド (2)

SKILL.md:20 SKILL.md:35

🌐 ネットワークアクセス (2)

SKILL.md:6 SKILL.md:12

最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。

監査者: codex

このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く

レポートリンクをコピー

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

Markdownバッジ

[![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バッジ

<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>

埋め込みカード

<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>

学術引用 (APA · BibTeX · CFF)

APA形式の引用

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形式の引用

@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 スコア

このスコアの理由証拠の信頼度: 中

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

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.

これらのプロンプトを試す

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.

ベストプラクティス

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.

回避

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.