Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Xpersona Agent
根据产品描述和参考图智能推荐设计风格并生成Landing Page,根据产品自动解析配置,专为Coze平台设计,支持对话式持续修改、上下文配置管理、文件自动生成,交付可直接部署的完整网站包(HTML + 图片资源)。AI 深度理解 2025 三大核心设计趋势(物理质感回归、网格化与模块化、展示即交互),自动匹配最佳风格,生成高品质页面 --- name: landing-page-generator description: 根据产品描述和参考图智能推荐设计风格并生成Landing Page,根据产品自动解析配置,专为Coze平台设计,支持对话式持续修改、上下文配置管理、文件自动生成,交付可直接部署的完整网站包(HTML + 图片资源)。AI 深度理解 2025 三大核心设计趋势(物理质感回归、网格化与模块化、展示即交互),自动匹配最佳风格,生成高品质页面 dependency: python: - beautifulsoup4>=4.12.0 --- Landing Page 生成器 设计哲学(2025核心趋势) 在2025年,一张优秀的Landing Page不再只是一张网页,更像是一个独立运行的应用程序或一部预告片。 物理质感回归(Return of Physics) 摒弃了死板的扁平化(Flat Design),在数字世界中重建"重量感"和"价值感"。
git clone https://github.com/ai-freer/landing-page-generator.gitOverall rank
#30
Adoption
No public adoption signal
Trust
Unknown
Freshness
Apr 14, 2026
Freshness
Last checked Apr 14, 2026
Best For
landing-page-generator is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
根据产品描述和参考图智能推荐设计风格并生成Landing Page,根据产品自动解析配置,专为Coze平台设计,支持对话式持续修改、上下文配置管理、文件自动生成,交付可直接部署的完整网站包(HTML + 图片资源)。AI 深度理解 2025 三大核心设计趋势(物理质感回归、网格化与模块化、展示即交互),自动匹配最佳风格,生成高品质页面 --- name: landing-page-generator description: 根据产品描述和参考图智能推荐设计风格并生成Landing Page,根据产品自动解析配置,专为Coze平台设计,支持对话式持续修改、上下文配置管理、文件自动生成,交付可直接部署的完整网站包(HTML + 图片资源)。AI 深度理解 2025 三大核心设计趋势(物理质感回归、网格化与模块化、展示即交互),自动匹配最佳风格,生成高品质页面 dependency: python: - beautifulsoup4>=4.12.0 --- Landing Page 生成器 设计哲学(2025核心趋势) 在2025年,一张优秀的Landing Page不再只是一张网页,更像是一个独立运行的应用程序或一部预告片。 物理质感回归(Return of Physics) 摒弃了死板的扁平化(Flat Design),在数字世界中重建"重量感"和"价值感"。 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Ai Freer
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
git clone https://github.com/ai-freer/landing-page-generator.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Ai Freer
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
1
Snippets
0
Languages
typescript
Parameters
text
output/
├── index.html ← Landing Page(图片引用相对路径 assets/xxx.png)
└── assets/
├── hero.png ← Hero 主图(几乎所有模板)
├── section-1.png ← 功能/内容分区配图(模板 06/07/10/14)
├── section-2.png
├── content-1.png ← 内容区配图(模板 04 双列布局)
├── step-1.png ← 步骤配图(模板 09 趣味连接型)
├── story-1.png ← 叙事配图(模板 03 故事讲述型)
├── immersive.png ← 沉浸式大图(模板 08 深色沉浸式)
├── editorial-1.png ← 编辑大图(模板 15 数字工坊/静谧艺廊)
├── gallery-1.png ← 画廊图(模板 15 数字工坊/静谧艺廊)
├── video-thumbnail.png ← 视频缩略图(模板 04 双列布局)
└── ... ← 其他图片资源Editorial read
Docs source
GITHUB OPENCLEW
Editorial quality
ready
根据产品描述和参考图智能推荐设计风格并生成Landing Page,根据产品自动解析配置,专为Coze平台设计,支持对话式持续修改、上下文配置管理、文件自动生成,交付可直接部署的完整网站包(HTML + 图片资源)。AI 深度理解 2025 三大核心设计趋势(物理质感回归、网格化与模块化、展示即交互),自动匹配最佳风格,生成高品质页面 --- name: landing-page-generator description: 根据产品描述和参考图智能推荐设计风格并生成Landing Page,根据产品自动解析配置,专为Coze平台设计,支持对话式持续修改、上下文配置管理、文件自动生成,交付可直接部署的完整网站包(HTML + 图片资源)。AI 深度理解 2025 三大核心设计趋势(物理质感回归、网格化与模块化、展示即交互),自动匹配最佳风格,生成高品质页面 dependency: python: - beautifulsoup4>=4.12.0 --- Landing Page 生成器 设计哲学(2025核心趋势) 在2025年,一张优秀的Landing Page不再只是一张网页,更像是一个独立运行的应用程序或一部预告片。 物理质感回归(Return of Physics) 摒弃了死板的扁平化(Flat Design),在数字世界中重建"重量感"和"价值感"。
在2025年,一张优秀的Landing Page不再只是一张网页,更像是一个独立运行的应用程序或一部预告片。
摒弃了死板的扁平化(Flat Design),在数字世界中重建"重量感"和"价值感"。
受AI Agent和系统化思维影响,信息不再线性堆叠,而是被封装在独立的"容器"中。
用户不再相信静态截图,他们要看"活"的东西,建立即刻信任(Instant Trust)。
template/ 下的 HTML 模板是每种风格的代码标杆——CSS 技巧、动效实现、响应式布局、交互模式均经过验证。AI 生成时应以此为质量基线,对齐或超越,而非仅参考风格根据产品描述/参考图智能推荐模板并生成Landing Page,或从已有HTML解析配置进行优化,支持对话式持续修改。
./config.json - 临时配置文件(脚本调用)./output/ - 交付包目录(用户下载的完整网站)
./output/index.html - Landing Page 主文件./output/assets/ - 图片资源目录(AI 生成 / 用户提供的图片)./templates/ - 模板库(Skill自带,多种风格的最佳实践标杆)./ - 对话工作目录./config.json最终交付给用户的是 output/ 目录,结构如下:
output/
├── index.html ← Landing Page(图片引用相对路径 assets/xxx.png)
└── assets/
├── hero.png ← Hero 主图(几乎所有模板)
├── section-1.png ← 功能/内容分区配图(模板 06/07/10/14)
├── section-2.png
├── content-1.png ← 内容区配图(模板 04 双列布局)
├── step-1.png ← 步骤配图(模板 09 趣味连接型)
├── story-1.png ← 叙事配图(模板 03 故事讲述型)
├── immersive.png ← 沉浸式大图(模板 08 深色沉浸式)
├── editorial-1.png ← 编辑大图(模板 15 数字工坊/静谧艺廊)
├── gallery-1.png ← 画廊图(模板 15 数字工坊/静谧艺廊)
├── video-thumbnail.png ← 视频缩略图(模板 04 双列布局)
└── ... ← 其他图片资源
assets/xxx.png,用户下载整个 output/ 目录后可直接在浏览器打开 index.html 预览{data-slot类型}-{序号}.{ext},与 HTML 模板中的 data-slot 属性一一对应hero、section、content、step、story、immersive、editorial、gallery、video-thumbnailoutput/ 目录直接部署到静态托管(GitHub Pages、Vercel、Netlify 等)./output/assets/ 目录,按命名规则存储template/landing-page-{N}.html 为最佳实践标杆,结合用户内容创作完整 HTML。图片使用相对路径 assets/xxx.png 引用python scripts/generate_landing_page.py ./config.json ./draft.html ./output/index.html(校验config + 注入图片路径 + 验证结构)output/index.html 在浏览器预览完整效果)output/ 目录(HTML + assets 图片),可直接部署python scripts/parse_landing_page.py ./uploaded.html ./config.jsonoutput/ 目录(index.html + assets/ 图片),用户下载完整网站包| 用户指令 | config字段 |
|---------|-----------|
| "把标语改成xxx" | product.tagline |
| "增加功能xxx" | features数组append |
| "第三个功能改成xxx" | features[2] |
| "删除第二个评价" | testimonials数组splice |
| "背景色改成xxx" | theme.background_color |
推荐风格时:
用户请求切换风格:
内部实现:
template/ - HTML 模板代码参考(多种风格的最佳实践标杆)
注意:HTML 模板是每种风格的最佳实践标杆——CSS 技巧、动效、响应式、交互模式均经过验证。AI 生成时应以此为质量基线对齐或超越,同时根据具体产品灵活调整,不拘泥于模板的具体数据和布局细节。图片在生成阶段根据用户产品内容动态规划,模板本身不打包任何图片资源。
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/snapshot"
curl -s "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/contract"
curl -s "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/trust"
Operational fit
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T04:57:16.636Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Ai Freer",
"href": "https://github.com/ai-freer/landing-page-generator",
"sourceUrl": "https://github.com/ai-freer/landing-page-generator",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/ai-freer-landing-page-generator/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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