data-supply-demand-matching-expert
Build a Data Supply-Demand Matching System
Unstructured demand and resource records make reliable matching slow and inconsistent. This skill provides database designs, matching states, operating procedures, and review checks.
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Pruébalo
Usando "data-supply-demand-matching-expert". A hospital needs monthly regional disease statistics within six weeks. The budget and decision owner are unknown.
Resultado esperado:
Demand status: incomplete. The buyer and purpose are identifiable, but budget and decision authority need confirmation before matching. Ask who approves procurement, the budget range, required fields, geographic scope, permitted uses, and privacy constraints.
Usando "data-supply-demand-matching-expert". A buyer needs a combined mobility and retail dataset. Separate compliant sources are available, but no combined product exists.
Resultado esperado:
Matching state: C, combined match. Confirm each source's ownership and tradability, define join keys and permitted processing, assess privacy risk, estimate integration work, and record supplier responsibilities before introduction.
Usando "data-supply-demand-matching-expert". Review a database with 140 demand records, many duplicates, and no update history.
Resultado esperado:
- Adopt a lightweight CRM or searchable database because record volume exceeds the spreadsheet guideline.
- Define unique record identifiers, duplicate rules, owners, status values, and monthly review dates.
- Archive expired demand, preserve outcome reasons, and publish a monthly update log.
- Use unmatched valid demand to guide new resource acquisition.
Auditoría de seguridad
SeguroAll 12 static findings are false positives caused by documented installation paths, Markdown backticks, attribution URLs, and high-entropy Chinese prose. The reviewed files contain no executable scripts, automatic network requests, encoded payloads, or prompt injection instructions.
Factores de riesgo
📁 Acceso al sistema de archivos (2)
⚙️ Comandos externos (3)
🌐 Acceso a red (2)
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图灵数盟. (2026). data-supply-demand-matching-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-supply-demand-matching-expert/audits/1Cita BibTeX
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author = {图灵数盟},
title = {data-supply-demand-matching-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-supply-demand-matching-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-supply-demand-matching-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-supply-demand-matching-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-supply-demand-matching-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Structure an Early Data Marketplace
Define three connected databases, practical fields, tags, and an operating sequence for a new matching program.
Assess a New Buyer Request
Check demand completeness, assign a matching state, and identify the next action and missing evidence.
Review Portfolio Gaps
Analyze unmatched demand and stale records to prioritize resource acquisition and database maintenance.
Prueba estos prompts
Review this demand record: [record]. Check buyer identity, purpose, budget, timing, and decision chain. List missing fields and propose clarifying questions.
Design resource, demand, and expert databases for [organization]. Provide fields, definitions, required status, tags, update owners, and maintenance frequency.
Compare this demand [details] with these resources [details]. Assign matching state A-E, explain evidence, identify compliance gates, and create an action plan.
Audit these demand, resource, expert, and outcome records: [records]. Measure coverage, precision, outcomes, aging, and gaps. Recommend quarterly priorities with assumptions.
Mejores prácticas
- Record evidence, assumptions, ownership status, and permitted uses before recommending a match.
- Prioritize complete demand records, then acquire resources that address verified unmet demand.
- Review records monthly and analyze outcomes quarterly using consistent statuses and reasons.
Evitar
- Do not treat vague interest without a buyer, purpose, and budget as validated demand.
- Do not recommend introductions before checking ownership, tradability, confidentiality, and qualification requirements.
- Do not build a complex platform before record volume and workflow needs justify it.
Preguntas frecuentes
Which database should I build first?
What makes a demand record valid?
What do matching states A through E mean?
When should I replace spreadsheets?
Does the skill contact suppliers or buyers?
Can this skill approve a data transaction?
Detalles del desarrollador
Autor
图灵数盟Licencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Ref.
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Actualidad del mantenimiento
30/9/2026
Uso
0 descargas · 0 vistas
Estructura de archivos