AGENT SKILLBY GOOSEWORKS-AI
Landing page intel
AT A GLANCE
Landing page intel is a CRO skill for AI agents. Extract GTM-relevant intelligence from any company's landing page by scraping its HTML source. It is published by gooseworks-ai in the gooseworks-ai/goose-skills GitHub repository (912 stars) under the MIT license. Install it with: npx skills add gooseworks-ai/goose-skills --skill landing-page-intel
- SOURCE REPOSITORY
- gooseworks-ai/goose-skills (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 2.8 KB60 LINES
QUICK ANSWER
- WHAT IT IS01
- Extract GTM-relevant intelligence from any company's landing page by scraping its HTML source. It stands out by giving conversion optimization a defined shape, so the agent asks for better context and returns a more usable result.
- INPUTS02
- Context for conversion optimization: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for conversion optimization: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add gooseworks-ai/goose-skills --skill landing-page-intelREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 5
Landing Page Intel#
Extract GTM-relevant intelligence from any company's landing page by scraping its HTML source.
Quick Start#
Only dependency is pip install requests. No API key needed.
# Basic scan of a single URL
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
--url "https://example.com"
# Scan multiple pages of the same site
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
--url "https://example.com" --pages "/,/pricing,/about"
# Output as summary table instead of JSON
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
--url "https://example.com" --output summary
# Save full report to file
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
--url "https://example.com" --output json > report.jsonWhat It Extracts#
| Category | Details |
|---|---|
| Tech Stack | Analytics (GA4, Mixpanel, Amplitude, PostHog, Heap), marketing automation (HubSpot, Marketo, Pardot), chat widgets (Intercom, Drift, Crisp, Zendesk), A/B testing (Optimizely, VWO, LaunchDarkly), session recording (Hotjar, FullStory, LogRocket), CDPs (Segment, Clearbit, 6sense) |
| Ad Pixels | Meta Pixel, Google Ads, LinkedIn Insight Tag, TikTok pixel, Twitter pixel |
| Customer Logos | Image URLs from "trusted by" / logo carousel sections, grouped by directory |
| SEO Metadata | Title, meta description, Open Graph tags, Twitter Cards, canonical URL, structured data (JSON-LD), hreflang tags |
| CTAs & Sales Motion | All CTA button text and links — reveals PLG vs sales-led motion |
| Social Proof | Testimonials, customer counts, case study links, badge images |
| Integrations | Links to integration/partner pages, embedded third-party widgets |
| Hidden Elements | Content in display:none, hidden, or HTML comments that may reveal upcoming features |
| Infrastructure | CMS platform (Webflow, WordPress, Next.js, etc.), detected from HTML signatures |
CLI Reference#
| Flag | Default | Description |
|---|---|---|
--url | required | Target website URL |
--pages | / | Comma-separated paths to scan (e.g., /,/pricing,/about) |
--output | json | Output format: json or summary |
--timeout | 15 | Request timeout in seconds |
GTM Use Cases#
- Competitive intel: See what tools competitors use, how they position, who their customers are
- Prospect research: Before a sales call, scan a prospect's site to understand their stack and maturity
- Market mapping: Scan multiple competitors to compare positioning, customer segments, and GTM motions
- Customer discovery: Extract competitor customer logos as potential prospects for your own product
Cost#
Free. No API keys required. Uses only HTTP requests to fetch public HTML.
FAQ
07 QUESTIONS
01What is the Landing page intel agent skill?
Extract GTM-relevant intelligence from any company's landing page by scraping its HTML source. It is listed under CRO in the 100xLab agent skills directory.
02How do I install Landing page intel in Cursor, Claude Code, or Codex?
Run npx skills add gooseworks-ai/goose-skills --skill landing-page-intel in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Landing page intel, not every skill in the repository.
03What does the Landing page intel SKILL.md cover?
The SKILL.md includes sections on Quick Start, What It Extracts, CLI Reference, GTM Use Cases and Cost. Read the full text on this page or in plain markdown at /resources/agent-skills/gooseworks-ai-goose-skills--landing-page-intel--cns1v4/raw.
04Which agents can use Landing page intel?
Landing page intel installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Landing page intel under?
The gooseworks-ai/goose-skills repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Landing page intel free to use?
Reading, copying and installing Landing page intel costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Landing page intel?
Landing page intel comes from https://github.com/gooseworks-ai/goose-skills, which has 912 GitHub stars. The SKILL.md is at https://github.com/gooseworks-ai/goose-skills/blob/HEAD/skills/competitive-intel/capabilities/landing-page-intel/SKILL.md. The author is gooseworks-ai.
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ATTRIBUTION
Landing page intel was written by its original authors and is published in gooseworks-ai/goose-skills (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.