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url-intent-parserurl 意图解析器

Agent Skill

url-intent-parser 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

7,785

周安装

331

GitHub Stars

公开资料未说明

下载量

2,727
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:url-intent-parser(url 意图解析器)
来源仓库:https://github.com/danyangliu-sandwichlab/url-intent-parser
安装命令:
openclaw skills install url-intent-parser
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install url-intent-parser

简介

将产品和登陆 URL 解析为 Meta (Facebook/Instagram)、Google Ads、TikTok 广告、YouTube 广告、Amazon 广告、Shopify 广告等的可执行广告简介。

SKILL.md

name
url-intent-parser
description
Parse product and landing URLs into an executable ads brief for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP/programmatic.

Ads URL Parser

Purpose

Core mission:

  • URL parsing, intent extraction, launch brief generation

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

When To Trigger

Use this skill when the user asks for:

  • ad execution guidance tied to business outcomes
  • growth decisions involving revenue, roas, cpa, or budget efficiency
  • platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP/programmatic
  • this specific capability: URL parsing, intent extraction, launch brief generation

High-signal keywords:

  • ads, advertising, campaign, growth, revenue, profit
  • roas, cpa, roi, budget, bidding, traffic, conversion, funnel
  • meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

  • url: product, service, or landing page URL
  • business_goal: sales, leads, traffic, or awareness
  • market_scope: country or language market

Optional:

  • target_audience_hint
  • offer_and_pricing
  • launch_timeline
  • current_kpi_baseline

Output Contract

  1. Intake Summary
  2. Parsed Offer and Value Proposition
  3. Audience and Funnel Hypothesis
  4. Channel Recommendation with rationale
  5. Launch Hand-off JSON payload

Workflow

  1. Validate URL and infer page type.
  2. Extract offer, CTA, and conversion surface.
  3. Map user intent to KPI priorities.
  4. Draft initial funnel and channel hypothesis.
  5. Emit structured launch brief.

Decision Rules

  • If URL is not reachable, request alternate URL and continue with available text.
  • If checkout is present, prioritize conversion objective and remarketing.
  • If product narrative is unclear, ask one focused clarification question.

Platform Notes

Primary scope:

  • Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP/programmatic

Platform behavior guidance:

  • Keep recommendations channel-aware; do not collapse all channels into one generic plan.
  • For Meta and TikTok Ads, prioritize creative testing cadence.
  • For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.
  • For DSP/programmatic, prioritize audience control and frequency governance.

Constraints And Guardrails

  • Never fabricate metrics or policy outcomes.
  • Separate observed facts from assumptions.
  • Use measurable language for each proposed action.
  • Include at least one rollback or stop-loss condition when spend risk exists.

Failure Handling And Escalation

  • If critical inputs are missing, ask for only the minimum required fields.
  • If platform constraints conflict, show trade-offs and a safe default.
  • If confidence is low, mark it explicitly and provide a validation checklist.
  • If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.

Code Examples

Parse Output Example

{ "objective": "sales", "primary_kpi": "roas", "recommended_channels": ["Meta", "TikTok Ads"], "core_offer": "Starter bundle with free shipping" }

Launch Payload Example

objective: sales budget_plan: test-then-scale tracking_required: [ViewContent, AddToCart, Purchase]

Examples

Example 1: Shopify product page intake

Input:

  • URL: product page with direct checkout
  • Goal: improve roas

Output focus:

  • offer extraction
  • funnel assumptions
  • first channel recommendation

Example 2: SaaS lead landing page intake

Input:

  • URL: demo request page
  • Goal: lower cpa for qualified leads

Output focus:

  • lead funnel map
  • conversion event definition
  • channel split hypothesis

Example 3: Amazon listing intake

Input:

  • URL: marketplace product listing
  • Goal: grow revenue while preserving margin

Output focus:

  • listing intent clues
  • ads objective mapping
  • launch handoff payload

Quality Checklist

  • [ ] Required sections are complete and non-empty
  • [ ] Trigger keywords include at least 3 registry terms
  • [ ] Input and output contracts are operationally testable
  • [ ] Workflow and decision rules are capability-specific
  • [ ] Platform references are explicit and concrete
  • [ ] At least 3 practical examples are included

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.29%
按下载量换算2,135

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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