url-intent-parser_skill

This skill parses product and landing URLs to generate actionable ads briefs for multiple platforms, aligning offers with campaign goals.
  • Python

2.6k

GitHub Stars

3

Bundled Files

3 weeks ago

Catalog Refreshed

1 month ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstart where the catalogue uses aiagentskills.

npx veilstart add skill openclaw/skills --skill url-intent-parser

  • _meta.json299 B
  • metadata.json70 B
  • SKILL.md4.3 KB

Overview

This skill parses product and landing page URLs and converts them into executable advertising briefs across Meta, Google Ads, TikTok, YouTube, Amazon Ads, Shopify Ads, and DSP/programmatic. It focuses on extracting offer, CTA, and conversion surfaces to produce channel-aware launch plans tied to measurable KPIs. Outputs are structured for direct handoff into campaign setup and tracking requirements.

How this skill works

The parser validates the URL, infers page type (product, marketplace listing, lead form, landing page), and extracts the offer, CTA, pricing clues, and conversion touchpoints. It maps extracted intent to a primary business goal and KPI, proposes channel-specific hypotheses, and emits a launch hand-off JSON payload with tracking and budget guidance. It flags uncertainty, missing inputs, or policy/tracking risks and includes a stop-loss condition when spend is recommended.

When to use it

  • When you need an executable ad brief from a product or landing URL
  • Before launching multi-channel paid media to align KPIs and tracking
  • To convert marketplace listings or Shopify pages into demand-capture plans
  • When testing creative and channel fits for Meta, TikTok, or programmatic
  • If you need a validated launch payload for ad ops or agency handoff

Best practices

  • Provide at least one reachable URL and the business_goal to avoid follow-ups
  • Include target_audience_hint and current_kpi_baseline when available for higher confidence
  • Treat the parser output as a starting brief — validate creative and tracking before spending
  • Prioritize channel-specific guidance (e.g., creative cadence for Meta/TikTok; search intent for Google/Amazon)
  • Always include rollback/stop-loss thresholds in testing budgets to limit downside

Example use cases

  • Shopify product page to generate a ROAS-focused test-then-scale plan with remarketing funnels
  • SaaS demo-request landing page to define lead KPIs, conversion events, and a low-CPA channel split
  • Amazon listing to map search-intent ads and ASIN-level bidding strategy while preserving margin
  • New product landing to produce a cross-channel launch brief with creative test matrix and tracking checklist
  • DSP brief for brand awareness with frequency governance and audience exclusions

FAQ

I will request an alternate URL and continue with any provided page text; I will mark confidence as low and give a validation checklist.

Can it generate ready-to-import ad account configurations?

It emits a structured launch-hand off JSON with objectives, tracking events, budget plan, and channel rationales suitable for operational intake, but you must validate pixel and catalog integration before import.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational