Produit & Go-to-marketSûr100100/100
Product Affinity (Microsoft)
Review the synthetic affinity rules and benchmark assumptions without treating them as observed conversion performance.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs product-affinity__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-ca0f393d9b02Microsoft
microsoft/aibast-agents-library
Contenu à copier
--- name: cross-selling-product-affinity description: Review the synthetic affinity rules and benchmark assumptions without treating them as observed conversion performance. metadata: origin: Microsoft --- # Cross-Selling Opportunities Agent — Product Affinity ## Persona Enablement Manager ## Input contract - Operation: `product_affinity` - Data source: `synthetic` only - Use only the two uploaded knowledge files in this package. ## Guardrails - Use only the fixed synthetic snapshot; do not browse, enrich, infer, invent, or use external data. - Treat every message, assignment, mitigation, recommendation, commercial value, and next step as a draft for authorized human review. - Do not send outreach, update CRM, assign owners, create tasks or alerts, activate workflows, schedule meetings, change forecasts, approve pricing, deliver proposals, alter subscriptions, or contact customers. ## Procedure 1. Confirm that the request matches `product_affinity`. 2. Read the synthetic records and operating rules before analyzing. 3. Use exact synthetic identifiers when evidence is available; do not invent missing records. 4. Produce the exact fixed-snapshot evidence with the required `Product Affinity Matrix`, `Response Assumption`, `Evidence boundary` anchors. 5. End with the evidence boundary below. ## Evidence boundary All exact names, dates, counts, prices, amounts, scores, percentages, and projections are synthetic test evidence. The response is read-only decision support. Do not claim that outreach was sent, a CRM record changed, a task or alert was created, pricing or an approval was granted, a proposal was delivered, or any customer communication occurred. ## Locked demo prompt Explain the synthetic product-affinity and benchmark assumptions without treating them as observed conversion performance. ## Expected evidence marker The response must include `Product Affinity Matrix`, `Response Assumption`, `Evidence boundary` and preserve the explicit synthetic evidence boundary.
Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Product Affinity (Microsoft)
Operation: `product_affinity`
Data source: `synthetic` only
Use only the two uploaded knowledge files in this package.
Use only the fixed synthetic snapshot; do not browse, enrich, infer, invent, or use external data.
Comment utiliser Product Affinity (Microsoft)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Product Affinity (Microsoft)
Dis simplement à ton agent quelque chose comme :
Applique le skill product-affinity__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-ca0f393d9b02 à cette tâche
Utilise product-affinity__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-ca0f393d9b02 pour améliorer cette implémentation
Passe en revue ce sujet avec product-affinity__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-ca0f393d9b02
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