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Get a synthetic health overview of a loyalty program without changing it.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "synthetic-loyalty-program-health" skill from askskill: 1. Download https://raw.githubusercontent.com/microsoft/aibast-agents-library/main/solutions/customer-loyalty-rewards/manual/skills/loyalty-dashboard/SKILL.md 2. Save it as ~/.claude/skills/loyalty-dashboard/SKILL.md 3. Reload skills and tell me it's ready
Create a synthetic health overview of the loyalty program using example data. Include member totals, outstanding points, synthetic spend, tier distribution, and governance questions. Do not perform any contact, issuance, redemption, or purchase actions.
A read-only summary of overall program status and governance items that need review.
Analyze the synthetic health of this loyalty program from the perspective of outstanding points and member tiers, and clarify which figures are examples rather than live liabilities.
A risk-focused analysis of points liability and tier structure.
Turn loyalty program members, points, synthetic spend, and tier distribution into a short health brief for a director, and list key governance questions.
A concise executive health brief with a list of governance questions.
When a director needs a quick view of overall program status, this skill summarizes members, points, spend, and tier distribution into a synthetic health view. It is intended for read-only analysis without changing the program.
During a governance review, it can surface governance questions that deserve attention and support further human assessment. It is suited for high-level overview rather than operational execution.
When a team needs to demonstrate program health with example figures, it can generate an aggregate view while making clear the numbers are not live liabilities. This is useful for reporting or discussion.
The README describes a skill for producing a synthetic health view of a loyalty program. It summarizes member counts, outstanding points, synthetic spend, tier distribution, and governance questions. The document stresses that all figures are illustrative examples rather than live liabilities. It also makes clear that the skill is read-only and must not contact users, enroll members, issue or redeem rewards, process refunds, place orders, or make purchases.
Summarize members, outstanding points, synthetic spend, tier distribution, and governance questions. Treat figures as examples, not live liability. Do not contact, enroll, issue, redeem, refund, order, or purchase.
It provides a synthetic health overview of a loyalty program by summarizing members, outstanding points, synthetic spend, tier distribution, and governance questions. It does not directly change the program.
No. The documentation explicitly says not to contact, enroll, issue, redeem, refund, order, or purchase.
Not necessarily. The documentation says the figures should be treated as examples, not live liabilities.
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Generate a synthetic points summary explanation without changing the ledger.
Analyze loyalty tier thresholds, perks, progress, and tradeoffs without changing status.
Draft prioritized amendment positions and legal escalation points for contract renegotiations.
Scan synthetic customer records to find evidence-backed cross-sell product gaps.
Get instant natural-language client health insights and identify risky course accounts.
Prepare reviewable retention and service-recovery options for churn-related customer cases.
Track, organize, and analyze data about health, habits, and goals.
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Query Voucherify loyalty and promo data in natural language for fast insights.
Securely let AI access, query, and update normalized user-controlled health data.