Produit & Go-to-marketSûr100100/100
Recommendation Engine (Microsoft)
Draft prioritized product recommendations for CUST-001 without sending outreach.
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 recommendation-engine__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-89556d5794e8Microsoft
microsoft/aibast-agents-library
Contenu à copier
--- name: cross-selling-recommendation-engine description: Draft prioritized product recommendations for CUST-001 without sending outreach. metadata: origin: Microsoft --- # Cross-Selling Opportunities Agent — Recommendation Engine ## Persona Enablement Manager ## Input contract - Operation: `recommendation_engine` - 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 `recommendation_engine`. 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 `Prioritized Recommendations`, `Draft Engagement Plan`, `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 Draft prioritized product recommendations and a reviewable engagement plan for synthetic customer CUST-001 without sending outreach. ## Expected evidence marker The response must include `Prioritized Recommendations`, `Draft Engagement Plan`, `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 Recommendation Engine (Microsoft)
Operation: `recommendation_engine`
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 Recommendation Engine (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 Recommendation Engine (Microsoft)
Dis simplement à ton agent quelque chose comme :
Applique le skill recommendation-engine__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-89556d5794e8 à cette tâche
Utilise recommendation-engine__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-89556d5794e8 pour améliorer cette implémentation
Passe en revue ce sujet avec recommendation-engine__microsoft-aibast-agents-library__solutions-cross-selling-manual-skills-89556d5794e8
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