Skills data-product-incubation-expert

📦

data-product-incubation-expert

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

Content revision r1 Safe 📁 Filesystem access⚙️ External commands🌐 Network access

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.

Supports: Claude Codex Code(CC)

🥉 77 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

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.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/dhturing-data-product-incubation-expert.md Signed manifest GET /api/skills/dhturing-data-product-incubation-expert/manifest Signed lockfile GET /api/skills/dhturing-data-product-incubation-expert/lockfile

Test it

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

Expected outcome:

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.

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

Expected outcome:

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.

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

Expected outcome:

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.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

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.

Files scanned

429

Lines analyzed

Review items

False positives ignored

Risk Factors

📁 Filesystem access (2)

profile.md:38 profile.md:38

⚙️ External commands (3)

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

🌐 Network access (2)

SKILL.md:6 SKILL.md:12

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

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

Markdown badge

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Embed card

<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>

Academic citations (APA · BibTeX · CFF)

APA citation

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 citation

@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 Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

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.

Try These 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.

Best Practices

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.

Avoid

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.