Price Data Products with Defensible Models
Data products often lack clear costs, comparable offers, and stable buyer value. This skill builds evidence-based price ranges, commercial structures, and negotiation plans.
將此請求複製給你的智慧代理，其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "data-product-pricing-expert" from https://skillstore.io/skills/dhturing-data-product-pricing-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-product-pricing-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫，並依安全政策請求必要確認。
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時，請使用這些連結。
正在使用「data-product-pricing-expert」。 Annual costs are CNY 240,000. Target markup is 25%. Buyer savings are CNY 4 million. Comparable offers range from CNY 280,000 to 360,000.
預期結果:
正在使用「data-product-pricing-expert」。 The API receives seasonal traffic, updates weekly, and serves a buyer seeking low initial commitment.
預期結果:
正在使用「data-product-pricing-expert」。 An enterprise buyer says the quote is too expensive but will not share a budget.
預期結果:
All 12 static findings are false positives caused by documentation paths, Markdown backticks, ordinary website links, and dense Chinese UTF-8 text. The reviewed files contain no executable code, network requests, hidden file operations, encoded payloads, or prompt injection attempts.
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據，不判斷該 Skill 是否安全。
https://skillstore.io/skills/dhturing-data-product-pricing-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dhturing-data-product-pricing-expert?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dhturing-data-product-pricing-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-product-pricing-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dhturing-data-product-pricing-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>图灵数盟. (2026). data-product-pricing-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-product-pricing-expert/audits/1@techreport{dhturing-data-product-pricing-expert-2026,
author = {图灵数盟},
title = {data-product-pricing-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-product-pricing-expert/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-product-pricing-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-pricing-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-product-pricing-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Compare cost, buyer value, and market evidence before choosing a launch range and billing model.
Create anchor, target, and floor positions with concession rules for a complex buyer discussion.
Assess cost, usage, customer value, and competitive changes before recommending a price adjustment.
I sell [data product] to [buyer]. Costs are [costs], and expected buyer value is [value]. Estimate a price range and state assumptions.
Compare subscription, usage, tiered, and hybrid pricing for [product]. Recommend one model using [usage pattern], [update frequency], and [buyer constraints].
Build anchor, target, and floor prices for [product] using [cost], [buyer value], and [market comparables]. Add decreasing concessions and non-price tradeoffs.
Create a pricing decision memo for [product] across [segments]. Apply cost, value, and market methods. Show sensitivities, compliance risks, evidence gaps, and review triggers.
作者
图灵数盟授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構
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Assess Energy Data Asset Opportunities
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Assess Industry Data Assetization Paths
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Choose a Value Metric That Scales
由 cmj-hub
Many B2B companies charge by a unit that does not track customer success, creating margin leakage, gaming, or expansion limits. This skill compares pricing units against four criteria and recommends a defensible hold or metric shift.
Audit Your B2B Pricing Program
由 cmj-hub
Pricing reviews often produce opinions without a consistent score or action order. This skill evaluates 30 checks and turns gaps into three prioritized levers and a 90-day remediation plan.
Visualize Personal Finances in a Local Report
由 jasonhmy
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分析科學資料檔案
由 davila7
科學資料檔案很難檢查，因為每種格式儲存結構與中繼資料的方式都不同。此技能會偵測格式、剖析資料品質，並建立實用的 Markdown EDA 報告。
使用 Scanpy 分析單細胞 RNA-Seq
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單細胞 RNA-seq 工作流程需要謹慎的 QC、正規化、分群與文件化。此技能提供 Scanpy 工作流程、指令碼、範本與參考資料，用於可重現的分析。
處理 JSON、YAML 和 TOML 資料
由 0xDarkMatter
結構化設定資料在 JSON、YAML 和 TOML 檔案之間可能難以檢視。此技能會引導使用 jq 和 yq 查詢來進行擷取、篩選、轉換和更新。