Habilidades data-product-incubation-expert

📦

data-product-incubation-expert

Name: data-product-incubation-expert
Author: 图灵数盟

Revisão do conteúdo r1 Seguro 📁 Acesso ao sistema de arquivos⚙️ Comandos externos🌐 Acesso à rede

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.

Suporta: Claude Codex Code(CC)

🥉 77 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do agente

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.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/dhturing-data-product-incubation-expert.md manifest assinado GET /api/skills/dhturing-data-product-incubation-expert/manifest lockfile assinado GET /api/skills/dhturing-data-product-incubation-expert/lockfile

Testar

Usando "data-product-incubation-expert". Assess our anonymized machine maintenance records for product potential.

Resultado esperado:

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.

Usando "data-product-incubation-expert". Create an MVP plan for a retail demand benchmark.

Resultado esperado:

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.

Usando "data-product-incubation-expert". Suggest pricing evidence for a logistics performance dataset.

Resultado esperado:

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.

Auditoria de segurança

Seguro

v1 • 27/09/2026 Abrir o relatório versionado

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.

Arquivos analisados

429

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Fatores de risco

📁 Acesso ao sistema de arquivos (2)

profile.md:38 profile.md:38

⚙️ Comandos externos (3)

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

🌐 Acesso à rede (2)

SKILL.md:6 SKILL.md:12

A auditoria estática e semântica concluída mais recente não detectou achados de segurança confirmados. Isso não comprova que a skill não tenha efeitos colaterais.

Auditado por: codex

Compartilhar e citar este relatório

Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.

Abrir o relatório versionado

Copiar link do relatório

https://skillstore.io/skills/dhturing-data-product-incubation-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

[![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)

Badge HTML

<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>

Cartão incorporável

<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>

Citações acadêmicas (APA · BibTeX · CFF)

Citação APA

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

Citação BibTeX

@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"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

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.

Teste estes prompts

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.

Boas práticas

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.

Evitar

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.