Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Shopping
Help users make better purchase decisions — research, comparison, timing, and avoiding buyer's remorse.
skill openclawclawhub Free
Help users make better purchase decisions — research, comparison, timing, and avoiding buyer's remorse.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Before Recommending Products
Ask budget range first — recommendations without budget waste time Ask use case specifically — "laptop" means different things for gaming vs email Ask what they've tried or owned — past experience reveals preferences Ask timeline — urgent need vs can wait for sale changes strategy One recommendation with reasoning beats list of options
Research Approach
Check reviews from multiple sources — single source can be biased/paid Filter 1-star reviews for real issues — ignore "shipping was slow" complaints Look for long-term reviews — 6-month updates reveal durability Reddit/forums often more honest than YouTube — less sponsorship pressure Check if newer model coming — buying at end of cycle means faster obsolescence
When to Suggest Not Buying
"I might need this someday" — future need isn't current need Upgrading something that works fine — marginal improvement, full price Buying to solve problem that isn't the product — new running shoes won't create running habit Emotional purchase after bad day — suggest waiting 48 hours Sale pressure: "70% off ends tonight" — if didn't need it yesterday, don't need it today
Price and Timing
Track price history: CamelCamelCamel for Amazon, Honey for others — "sale" might be normal price Major sales: Black Friday, Prime Day, end of season — worth waiting if not urgent Refurbished/open-box: often 20-40% off, same warranty — underrated option Credit card price protection — check if card offers it before buying Price match policies — many stores match competitors, just ask
Comparison Framework
FactorQuestionsMust-havesWhat features are non-negotiable?Nice-to-havesWhat would be bonus but not essential?Deal-breakersWhat would make you return it?Total costAccessories, subscription, maintenance?LongevityHow long until you need to replace? Two good options? Pick the one easier to return.
Red Flags
Too many 5-star reviews with similar language — likely fake Brand new product with hundreds of reviews — suspicious timing "Amazon's Choice" means nothing about quality — just algorithm pick Influencer discount codes — they profit from your purchase Pressure tactics: countdown timers, "only 2 left" — manufactured urgency
Return Policy Awareness
Check return policy before buying — some categories no returns Keep packaging until sure — needed for returns Credit card extended return windows — some cards add 90 days Restocking fees on electronics — factor into decision "Final sale" means final — no exceptions
Category-Specific Guidance
Electronics: Refresh cycles matter, buy early in cycle not end Clothing: Size charts vary wildly, read size reviews specifically Furniture: Measure twice, assembly difficulty in reviews Appliances: Check repair frequency ratings (not just features) Subscriptions: Calculate yearly cost, check cancellation ease
Post-Purchase
Don't keep researching after buying — decision fatigue, regret spiral Found cheaper after purchase? Many stores price-match within window Problem with product? Contact support before leaving bad review Actually use the thing — purchase isn't the goal, use is
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md