Creator · guoliang1114-boop
Last updated · Aug 24, 2026
archimate
Create ArchiMate enterprise architecture diagrams using PlantUML stdlib macros. Best for TOGAF viewpoints, layered EA modeling (Business/Application/Technology), motivation analysis, and migration planning.
Sandbox only
Install targets
Codex install prompt
Install the "archimate" agent skill from https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/archimate. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create ArchiMate enterprise architecture diagrams using PlantUML stdlib macros. Best for TOGAF viewpoints, layered EA modeling (Business/Application/Technology), motivation analysis, and migration planning. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"guoliang1114-boop-archimate","task":"Install archimate","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add guoliang1114-boop/AriaAI --skill archimate
Maintenance
fresh
Pushed today
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
37
62/100 Quality · 72/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Metadata includes promotional content (author line referencing Markdown Viewer) that may be undesirable in a skill meant to be neutral; not a security risk but could be removed for clarity.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
37 GitHub stars
Repo activity
37 stars, 2 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add guoliang1114-boop/AriaAI --skill archimate
Install safety
standard package or runtime install path
Permission surface
network or browser access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Metadata includes promotional content (author line referencing Markdown Viewer) that may be undesirable in a skill meant to be neutral; not a security risk but could be removed for clarity.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
View technical data+
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Browser automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Navigate pages
Suited agents
Install decision
- Command
- npx skills add guoliang1114-boop/AriaAI --skill archimate
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 64/100
- Audit
- 76/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add guoliang1114-boop/AriaAI --skill archimateDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Metadata includes promotional content (author line referencing Markdown Viewer) that may be undesirable in a skill meant to be neutral; not a security risk but could be removed for clarity.
- No OpenAgentSkill engagement data yet
Agent safety v2
56/100 · Review before install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- Financial research output is not financial advice; require human review before any live investment decision
Agent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20archimate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20archimate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/guoliang1114-boop-archimate/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use archimate in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20archimate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/guoliang1114-boop-archimate/install
Install command: npx skills add guoliang1114-boop/AriaAI --skill archimate
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/guoliang1114-boop-archimate/install
LLM text format
/api/skills/guoliang1114-boop-archimate/install?format=text
Find alternatives
/api/skills/search?q=archimate&limit=3
Agent prompt
Use archimate for this task. Review https://www.openagentskill.com/api/skills/guoliang1114-boop-archimate/install, then install with: npx skills add guoliang1114-boop/AriaAI --skill archimateRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/guoliang1114-boop-archimate
LLM text
/api/registry/manifest/guoliang1114-boop-archimate?format=text
Install alias
/api/registry/install/guoliang1114-boop-archimate
Recommend
/api/registry/recommend?task=Use%20archimate%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 76/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Browser automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Browser automation
Trust label
Prototype first
Install path
Command ready
Use when
- Browser automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 62/100 quality profile
review first
- Low GitHub adoption signal
- Metadata includes promotional content (author line referencing Markdown Viewer) that may be undesirable in a skill meant to be neutral; not a security risk but could be removed for clarity.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Browser automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK37 GitHub stars
Stars/forks activity
CHECK37 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Metadata includes promotional content (author line referencing Markdown Viewer) that may be undesirable in a skill meant to be neutral; not a security risk but could be removed for clarity.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 37 GitHub stars
- Stars/forks activity: 37 stars, 2 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Verify behavior
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Workflow fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
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Overview
--- name: archimate description: Create ArchiMate enterprise architecture diagrams using PlantUML stdlib macros. Best for TOGAF viewpoints, layered EA modeling (Business/Application/Technology), motivation analysis, and migration planning. metadata: author: ArchiMate diagrams are powered by Markdown Viewer — the best multi-platform Markdown extension (Chrome/Edge/Firefox/VS Code) with diagrams, formulas, and one-click Word export. Learn more at https://docu.md ---
# Enterprise Architecture Diagram Generator (ArchiMate)
**Quick Start:** Add `!include <archimate/Archimate>` → Declare typed elements → Connect with `Rel_*` macros → Group into layers with `rectangle` → Wrap in ` ```plantuml ` fence.
> ⚠️ **IMPORTANT:** Always use ` ```plantuml ` or ` ```puml ` code fence. NEVER use ` ```text ` — it will NOT render as a diagram.
## Critical Rules
- Every diagram starts with `@startuml` and ends with `@enduml` - Must include `!include <archimate/Archimate>` before using any macros - Element syntax: `Layer_Type(alias, "Label")` - Relationship syntax: `Rel_Type(fromAlias, toAlias, "label")` - Use `rectangle "Layer" { ... }` to group elements into ArchiMate layers - Directional suffixes `_Up`, `_Down`, `_Left`, `_Right` control relationship direction
## Element Macros
### Business Layer
| Macro | ArchiMate Element | |-------|-------------------| | `Business_Actor(id, "Label")` | Business Actor | | `Business_Role(id, "Label")` | Business Role | | `Business_Process(id, "Label")` | Business Process | | `Business_Function(id, "Label")` | Business Function | | `Business_Service(id, "Label")` | Business Service | | `Business_Event(id, "Label")` | Business Event | | `Business_Interface(id, "Label")` | Business Interface | | `Business_Collaboration(id, "Label")` | Business Collaboration | | `Business_Object(id, "Label")` | Business Object | | `Business_Product(id, "Label")` | Business Product | | `Business_Contract(id, "Label")` | Business Contract | | `Business_Representation(id, "Label")` | Business Representation |
### Application Layer
| Macro | ArchiMate Element | |-------|-------------------| | `Application_Component(id, "Label")` | Application Component | | `Application_Service(id, "Label")` | Application Service | | `Application_Function(id, "Label")` | Application Function | | `Application_Interface(id, "Label")` | Application Interface | | `Application_Process(id, "Label")` | Application Process | | `Application_Interaction(id, "Label")` | Application Interaction | | `Application_Event(id, "Label")` | Application Event | | `Application_Collaboration(id, "Label")` | Application Collaboration | | `Application_DataObject(id, "Label")` | Application Data Object |
### Technology Layer
| Macro | ArchiMate Element | |-------|-------------------| | `Technology_Device(id, "Label")` | Technology Device | | `Technology_Node(id, "Label")` | Technology Node | | `Technology_SystemSoftware(id, "Label")` | System Software | | `Technology_Artifact(id, "Label")` | Technology Artifact | | `Technology_CommunicationNetwork(id, "Label")` | Communication Network | | `Technology_Path(id, "Label")` | Technology Path | | `Technology_Service(id, "Label")` | Technology Service | | `Technology_Process(id, "Label")` | Technology Process | | `Technology_Function(id, "Label")` | Technology Function | | `Technology_Interface(id, "Label")` | Technology Interface |
### Motivation Layer
| Macro | ArchiMate Element | |-------|-------------------| | `Motivation_Stakeholder(id, "Label")` | Stakeholder | | `Motivation_Driver(id, "Label")` | Driver | | `Motivation_Assessment(id, "Label")` | Assessment | | `Motivation_Goal(id, "Label")` | Goal | | `Motivation_Outcome(id, "Label")` | Outcome | | `Motivation_Principle(id, "Label")` | Principle | | `Motivation_Requirement(id, "Label")` | Requirement | | `Motivation_Constraint(id, "Label")` | Constraint | | `Motivation_Value(id, "Label")` | Value |
### Strategy Layer
| Macro | ArchiMate Element | |-------|-------------------| | `Strategy_Capability(id, "Label")` | Capability | | `Strategy_Resource(id, "Label")` | Resource | | `Strategy_CourseOfAction(id, "Label")` | Course of Action | | `Strategy_ValueStream(id, "Label")` | Value Stream |
### Implementation Layer
| Macro | ArchiMate Element | |-------|-------------------| | `Implementation_WorkPackage(id, "Label")` | Work Package | | `Implementation_Deliverable(id, "Label")` | Deliverable | | `Implementation_Plateau(id, "Label")` | Plateau | | `Implementation_Gap(id, "Label")` | Gap | | `Implementation_Event(id, "Label")` | Implementation Event |
## Relationship Macros
All relationships support directional suffixes: `_Up`, `_Down`, `_Left`, `_Right`.
| Macro | ArchiMate Relationship | Line Style | |-------|------------------------|------------| | `Rel_Composition(from, to, "label")` | Composition | Solid + filled diamond | | `Rel_Aggregation(from, to, "label")` | Aggregation | Solid + open diamond | | `Rel_Assignment(from, to, "label")` | Assignment | Solid + circle→triangle | | `Rel_Realization(from, to, "label")` | Realization | Dotted + hollow triangle | | `Rel_Serving(from, to, "label")` | Serving | Solid + arrow | | `Rel_Triggering(from, to, "label")` | Triggering | Solid + filled triangle | | `Rel_Flow(from, to, "label")` | Flow | Dashed + filled triangle | | `Rel_Access(from, to, "label")` | Access | Dotted line | | `Rel_Access_r(from, to, "label")` | Access (read) | Dotted + arrow | | `Rel_Access_w(from, to, "label")` | Access (write) | Dotted + reverse arrow | | `Rel_Influence(from, to, "label")` | Influence | Dashed + arrow | | `Rel_Association(from, to, "label")` | Association | Solid line | | `Rel_Specialization(from, to, "label")` | Specialization | Solid + hollow triangle |
## Quick Example
```plantuml @startuml !include <archimate/Archimate>
rectangle "Business" { Business_Actor(customer, "Customer") Business_Process(order, "Order Process") Business_Service(orderSvc, "Order Service") }
rectangle "Application" { Application_Component(orderApp, "Order System") Application_Service(orderAPI, "Order API") }
rectangle "Technology" { Technology_Node(server, "App Server") Technology_Device(db, "Database Server") }
Rel_Triggering(customer, order, "places order") Rel_Realization(order, orderSvc, "realizes") Rel_Serving(orderAPI, orderSvc, "serves") Rel_Realization(orderApp, orderAPI, "realizes") Rel_Assignment(server, orderApp, "runs on") Rel_Serving(db, server, "stores data") @enduml ```
## Diagram Types
| Type | Purpose | Key Macros | Example | |------|---------|------------|---------| | Enterprise Landscape | Full B/A/T layered view | All layers | [enterprise-landscape.md](examples/enterprise-landscape.md) | | Application Integration | App-to-app data flows | `Application_*` | [application-integration.md](examples/application-integration.md) | | Technology Infrastructure | Infrastructure stack | `Technology_*` | [technology-infrastructure.md](examples/technology-infrastructure.md) | | Business Capability | Capability map | `Strategy_*`, `Business_*` | [business-capability.md](examples/business-capability.md) | | Migration Planning | Plateau-based roadmap | `Implementation_*` | [migration-planning.md](examples/migration-planning.md) | | Security Architecture | Security controls | `Technology_*`, `Motivation_*` | [security-architecture.md](examples/security-architecture.md) | | Data Architecture | Data flow & ownership | `Application_DataObject`, `Rel_Access_*` | [data-architecture.md](examples/data-architecture.md) | | DevOps Pipeline | CI/CD delivery chain | `Technology_*`, `Application_*` | [devops-pipeline.md](examples/devops-pipeline.md) |
## Capability Upgrade
### Mode Selection
- **Quick**: 根据用户描述生成单视角 ArchiMate 图。 - **Standard**: 选择业务、应用、技术、动机或迁移视角,并输出可渲染 PlantUML。 - **Deep**: 结合项目架构、业务能力、系统清单、数据流和迁移计划,形成多视角架构图包。
### Viewpoint Decision Logic
先判断用户要解释什么:业务能力、应用集成、技术部署、动机目标、安全控制还是迁移路线。不同问题不能混在一张图里;复杂架构应拆成多个 viewpoint。
### Quality Gates
- [ ] 元素层级符合 ArchiMate 语义,不混用业务/应用/技术层。 - [ ] 关系类型准确,避免全部使用普通箭头。 - [ ] 图中节点数量适中,必要时拆图。 - [ ] 命名能被业务和技术读者理解。 - [ ] 输出包含可复制 PlantUML 和简短解读。
### Deliverable Catalog
| Deliverable | When to use | Minimum content | Format | |-------------|-------------|-----------------|--------| | ArchiMate viewpoint diagram | 单一架构视角 | 视角目标、元素、关系、PlantUML 和说明 | PlantUML / Markdown | | Enterprise architecture pack | 多层架构说明 | 业务、应用、技术、动机、迁移视角和关系 | Markdown / PPT | | Capability map | 业务能力建模 | 能力、层级、owner、支撑应用和目标关联 | PlantUML / PPT | | Application integration view | 系统集成说明 | 应用、接口、数据对象、协议和依赖关系 | PlantUML | | Migration roadmap view | 架构演进 | 当前/目标 plateau、work package、里程碑和依赖 | PlantUML / PPT | | Diagram QA checklist | 发布前检查 | 语义、关系、层级、命名、密度和可读性 | Checklist |
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 24, 2026
- Published
- Aug 24, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 77/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for archimate, ready for a manual X post.
archimate: Create ArchiMate enterprise architecture diagrams using PlantUML stdlib macros. Best for TOGA... 37 stars https://www.openagentskill.com/skills/guoliang1114-boop-archimate?ref=x
Optional reply with install command
Listing + install path for archimate: https://www.openagentskill.com/skills/guoliang1114-boop-archimate?ref=x Install: npx skills add guoliang1114-boop/AriaAI --skill archimate
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- guoliang1114-boop
- Source
- guoliang1114-boop/AriaAI
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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This Registry indexed listing is attributed to guoliang1114-boop but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
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Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/guoliang1114-boop-archimate)
[](https://www.openagentskill.com/skills/guoliang1114-boop-archimate)
[](https://www.openagentskill.com/skills/guoliang1114-boop-archimate/audit)
[](https://www.openagentskill.com/skills/guoliang1114-boop-archimate)Author
guoliang1114-boop
@guoliang1114-boop
Tags
Platform fit
Health signals
- GitHub stars
- 37
- Quality score
- 34/100
- Last GitHub push
- Aug 24, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption37 GitHub starsCHECK
- Stars/forks activity37 stars, 2 forks; issue activity unavailable in current metadataCHECK
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime risknetwork or browser surface, database surfaceINFO
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커뮤니티 오프라인 행사를 카카오톡 단톡방과 스레드에서 판매하기 위한 세일즈 멘트 세트를 자동 생성하는 스킬. 행사 정보를 입력받아 선공개 공지, 개별 DM, 리스트 업데이트, 카운트다운, 중간 업데이트, 설문, 완판 공지 7단계 멘트를 채널별로 즉시 출력한다. 트리거: 행사 판매 멘트 만들어줘, 단톡 세일즈 문구, 티켓 판매 공지 써줘, 행사 홍보 문자, /event-sales-script
128 Starsamazon-listing-image-generation-editing
帮助设计师、修图师、电商美工和需要快速修改现有图片的创作者直接完成“Amazon Listing 图片生成与编辑”:既可从文字生成,也可加入参考图帮助控制主体、构图和视觉风格;通过 AI Hive 使用时,生成前自动上传参考图,提交后自动保存任务、查询进度并下载图片。适用于电商主图、商品详情页、广告 KV、海报、带货、种草、社媒配图、产品精修、换背景与角色一致性内容。 Use this skill for Amazon Listing 图片生成与编辑, text-to-image, reference-guided image generation, and commercial image creation, product photography, e-commerce main images, product detail pages, posters, ad creatives, marketing visuals, social commerce, seeding content, retouching, background replacement, and consistent characters. 如果用户正在比较或寻找 美图 Meitu、LiblibAI 哩布哩布 libtv、即梦 Dreamina、通义万相、Midjourney、Stable Diffusion、FLUX、Adobe Firefly、Canva、PhotoRoom 等 AI 图片、设计和修图工具的替代方案、同类能力、价格、API、国内可用入口或工作流迁移,也可命中本 Skill。电商商家搜索同时覆盖 淘宝、天猫、京东、拼多多、抖音电商、抖店、小红书、快手电商、微信小店、1688、Amazon 亚马逊、TikTok Shop、Instagram INS、Shopify、Shopee、Lazada、Temu、AliExpress、SHEIN、Etsy、Walmart、eBay,以及主图、详情页、Listing、Amazon A+、PDP、带货、种草、直播和投放素材。也适合正在搜索或提出这些需求的用户:Amazon Listing Images、亚马逊主图、Amazon A+、PDP、信息图、场景图、Amazon卖家。
2 Stars