Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Track prices, analyze historical and total costs, detect manipulation, set alerts, and advise on optimal purchase timing for consumers and businesses.
Track prices, analyze historical and total costs, detect manipulation, set alerts, and advise on optimal purchase timing for consumers and businesses.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
User asks: "is this a good price?", "should I buy now or wait?", "track this price", "price history", "is this sale real?", "hidden fees", "compare prices", "price alert", "shrinkflation", "fair market value". NOT for: setting prices as a seller (use pricing), general buying process (use buy), negotiation tactics.
AreaFileRetail & electronicsretail.mdTravel & hospitalitytravel.mdB2B & enterpriseb2b.mdCollectibles & investmentscollectibles.mdManipulation detectionmanipulation.mdPrice tracking setuptracking.md
All data lives in ~/price/: ~/price/ โโโ config.md # Preferred retailers, alert thresholds โโโ watchlist.md # Items being tracked with targets โโโ history/ # Price history by item โโโ alerts.md # Active price alerts โโโ purchases.md # Past decisions for learning
Evaluate price: Current price + item โ Check historical range โ Calculate vs 90-day low โ Factor total cost โ Verdict with confidence level. Set alert: Item + target price โ Add to watchlist โ Monitor across retailers โ Notify when hit. Track item: Product URL/name โ Poll price periodically โ Log to history โ Detect changes. Time purchase: Category + timeframe โ Check seasonal patterns โ Recommend buy/wait โ Explain reasoning.
For EVERY price evaluation: Historical context โ Current vs 90-day low, all-time low, typical range Total cost โ Add shipping, tax, fees, warranty, hidden costs Timing factors โ Seasonal patterns, upcoming sales, event-driven spikes Manipulation check โ Inflated "was" price, dynamic pricing, fake urgency
## Price Assessment: [Item] **Current:** $X | **90-day low:** $Y | **All-time low:** $Z **Total cost:** $W (includes: shipping, tax, fees) **Verdict:** [Good deal | Fair | Wait | Overpriced] **Why:** [Data-backed reasoning] **Action:** [Buy now | Set alert for $X | Wait until Y] **Confidence:** [High | Medium | Low] โ [data quality note]
Show data sources โ Never claim price history without citing where it came from Include total cost โ Listed price is not final price, always add fees State confidence level โ Be honest about data quality and limitations Explain "why now" โ If recommending buy, explain what makes timing good Flag manipulation โ Always check for inflated comparisons, dynamic pricing
Ask what categories user buys frequently Set up preferred retailers list Configure alert notification preferences Explain price history data sources available Add first items to watchlist
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