Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
B2A
Sell to AI agents with machine-readable products, agent-optimized APIs, structured pricing, and discovery strategies for the agentic economy.
skill openclawclawhub Free
Sell to AI agents with machine-readable products, agent-optimized APIs, structured pricing, and discovery strategies for the agentic economy.
β¬ 0 downloads β
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, discovery.md, infrastructure.md, retail.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
When to Use
User building products/services for AI agents as customers. Covers making products agent-discoverable, designing for autonomous purchasing, payment integration, and competing when buyers compare cold data instead of responding to storytelling.
Quick Reference
TopicFileTechnical implementationinfrastructure.mdAgent discovery & SEOdiscovery.mdRetail/ecommerce specificsretail.md
The Paradigm Shift
B2C/B2BB2AHumans browse, compare, feelAgents query, parse, decideEmotional storytelling winsStructured data winsUX optimized for eyesAPIs optimized for parsingBrand = trust + emotionBrand = verified track recordLoyalty = relationshipLoyalty = switching costMarketing = persuasionMarketing = engineering
1. Machine-Readable First
Products must be structured objects, not prose descriptions JSON-LD, Schema.org, OpenAPI with typed fields If an agent has to "interpret" text to extract price/specs, you lose Normalize units: shipping_days_max: 2, not "fast shipping"
2. Comparability Is Everything
Agents compare ruthlessly. Win by being comparable: Standardized attributes across your catalog Same fields as competitors (price_currency, availability_stock) SLAs with concrete numbers, not promises "Better" must be objectively measurable
3. Discovery β SEO
Agents don't Google. They query registries and APIs: Publish in skill stores / capability directories /.well-known/ai-plugin.json or MCP tools Metadata must declare capabilities, not market them The new PageRank = ranking in agent skill stores
4. Trust Is Verified, Not Told
Agents don't believe claims. They verify: Uptime/latency/SLA history via API, not badges Reviews from other agents (programmatic reputation) Certifications as queryable data, not PDF downloads Track record > marketing copy
5. Zero-Friction Trial or Death
Agents don't "consider"βthey test or discard: Onboarding < 1 API call Sandbox with rate limits, not "talk to sales" Must work perfectly first time (no second chances) Errors must be machine-readable, not HTML pages
6. Payments for Agents
The agent needs to transact autonomously: Stripe Agent Toolkit, Mastercard Agent Pay, or similar Pre-authorized budgets (agent has $X to spend) Programmatic receipts and confirmations Escrow for trust between unknown parties
7. Metrics That Matter
MetricWhat It MeasuresAgent Conversion Rate% queries β purchaseDecision LatencyTime from first query to commitComparison Survival% times reaching final shortlistRepeat Agent Retention% agents that returnAPI Error RateFailures causing agent to discard Traditional metrics (page views, bounce rate) are meaningless.
Common Traps
TrapWhy It FailsPretty website, no APIAgents don't see your UI"Contact us for pricing"Agents need programmatic pricingMarketing copy in descriptionsAgents parse data, skip proseHTML error pagesAgents need JSON errorsManual onboardingAgents won't waitTrust badges instead of APIsUnverifiable = untrustedOptimizing for humans firstDelays agent-readiness
Honest Limitations
What an AI helping you with B2A cannot do: Create track record β You have to actually deliver 99.9% uptime Know internal rankings β How Claude/GPT rank skills is opaque Predict agent decisions β Each agent has its own heuristics Guarantee discovery β Skill stores may have hidden placement deals Prevent gaming β Competitors lying about specs is real
Readiness Checklist
β‘ Products exposed via structured API (not scraping required) β‘ Pricing programmatically queryable β‘ Inventory/availability real-time β‘ Authentication supports client_credentials (not interactive) β‘ Errors return JSON with semantic codes β‘ Onboarding works in < 5 API calls β‘ Payment rails support autonomous agents β‘ SLA metrics exposed via API β‘ Listed in relevant skill registries
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
4 Docs
- SKILL.md
- discovery.md
- infrastructure.md
- retail.md