スキル data-product-incubation-expert

📦

data-product-incubation-expert

Name: data-product-incubation-expert
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

Incubate Market-Ready Data Products

Raw data often lacks a clear buyer, use case, specification, and price. This skill structures product discovery, MVP validation, pricing, and launch preparation.

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-product-incubation-expert" from https://skillstore.io/skills/dhturing-data-product-incubation-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-product-incubation-expert/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-product-incubation-expert.md 署名済み manifest GET /api/skills/dhturing-data-product-incubation-expert/manifest 署名済み lockfile GET /api/skills/dhturing-data-product-incubation-expert/lockfile

テストする

「data-product-incubation-expert」を使用しています。 Assess our anonymized machine maintenance records for product potential.

期待される結果:

Strong describability and repeatability, but buyer requirements and delivery frequency need evidence.
Test a predictive maintenance benchmark with two equipment operators.
Proceed only after validating measurable downtime reduction and permitted usage rights.

「data-product-incubation-expert」を使用しています。 Create an MVP plan for a retail demand benchmark.

期待される結果:

Package regional category indices with weekly updates, documented coverage, and quality thresholds.
Recruit three retailers and compare forecast accuracy against their current baseline.
Advance when repeated usage and credible payment interest meet agreed thresholds.

「data-product-incubation-expert」を使用しています。 Suggest pricing evidence for a logistics performance dataset.

期待される結果:

Estimate production and support costs for the minimum sustainable price.
Quantify buyer savings from fewer delays and better carrier selection.
Compare equivalent market offers before testing a limited pilot price.

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 twelve static findings are false positives caused by documentation examples, Markdown formatting, public website references, or Chinese-language text. No executable payload, network request, hidden-file access, prompt injection, or malicious intent was found.

スキャンされたファイル

429

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 (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 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-product-incubation-expert/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-product-incubation-expert/security.svg)](https://skillstore.io/skills/dhturing-data-product-incubation-expert?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/dhturing-data-product-incubation-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-product-incubation-expert/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-product-incubation-expert.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-product-incubation-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-product-incubation-expert/audits/1

BibTeX形式の引用

@techreport{dhturing-data-product-incubation-expert-2026,
  author = {图灵数盟},
  title = {data-product-incubation-expert security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-data-product-incubation-expert/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-product-incubation-expert 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-product-incubation-expert/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-data-product-incubation-expert: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

Prioritize Data Opportunities

Evaluate available datasets and rank product opportunities by buyer pain, feasibility, and measurable value.

Design a Validatable MVP

Define product specifications, sample outputs, validation questions, and success criteria before major development.

Prepare a Product Launch

Develop positioning, pricing logic, product documentation, quality checks, and listing preparation.

これらのプロンプトを試す

Assess One Dataset

Assess [dataset] using the five productization questions. Identify missing evidence and recommend the next practical step.

Discover Buyer Scenarios

Find three product scenarios for [data resource] in [industry]. Rank them by buyer pain, measurable value, feasibility, and repeatability.

Design and Validate an MVP

Design a seven-element data product for [scenario]. Define its MVP, seed-customer plan, validation questions, success metrics, and decision thresholds.

Build an Incubation Roadmap

Create a phased incubation roadmap for [portfolio]. Include prioritization, value hypotheses, product specifications, governance gates, pricing evidence, launch dependencies, and iteration decisions.

ベストプラクティス

Start with verified buyer problems, then match available data to those problems.
Use measured behavior and payment signals instead of favorable interview comments.
Treat data rights, privacy, quality, and repeatable delivery as launch gates.

回避

Do not build a complete product before testing a focused MVP.
Do not claim financial value without evidence, assumptions, and measurement methods.
Do not sell internally collected data before reviewing rights and compliance.