Works with the AI Agents you already use
Price Drop Radar
Track product prices over time and identify meaningful drops using verified references, timing, and terms.
$9.99
Price Drop Radar
Example session with this skill installed
Create a price-watch plan for a laptop normally seen around $900. Current listing is $780 with unclear shipping and warranty terms.
- Read your context and instructions
- Compiled the price drop radar
Price Drop Radar: practical plan
Price-drop assessment
Verify the reference
Track the exact model, configuration, seller, condition, stock and region. Build a dated price history from reliable observations; do not treat one past high price as the normal price.
Compare total value
Current $780 listing must be compared after shipping, tax, required membership, warranty, returns, accessories and delivery timing. Check whether the seller is authorized and whether the device is new, refurbished or open-box.
Alert rule
Set a user-defined target price based on budget and comparable offers. Trigger only when the exact configuration falls below target and the listing passes seller and terms checks. Include timestamp, source and caveats.
Monitoring
Sample at a reasonable cadence, de-duplicate repeated alerts and note out-of-stock or price changes. Avoid purchases based only on urgency messaging.
Decision
Buy only if the total cost and terms meet the user’s needs. Preserve a price log and recheck at checkout because availability can change. Do not claim a discount percentage without a verified comparison window.
Measurement and review
Record the baseline, source, date range, denominator and owner. Use one primary measure plus quality guardrails; compare like-for-like cohorts and disclose missing data. Treat estimates as scenarios, not observed outcomes.
Risks and controls
Check relevance, consent, disclosure, workload and downside before scaling. Keep an evidence trail, obtain human review for material commitments, and pause if trust, quality or compliance signals deteriorate.
Next steps
- Confirm the goal, audience and available capacity.
- Gather the minimum evidence for a first test.
- Assign an owner, budget and review date.
- Run a small pilot, record outcomes and decide whether to iterate, expand or stop.
Connects securely to your tools. The creator never sees your data.
About this skill
Create a practical, evidence-led Price Drop Radar workflow. Track product prices over time and identify meaningful drops using verified references, timing, and terms. Distinguish observations from assumptions, request missing inputs, give actionable recommendations with owners and measurable outcomes, and flag uncertainty. Avoid fabricated metrics, unsupported guarantees, deceptive tactics and unnecessary personal data.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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