Agent skill

Landing Page Intel

by gooseworks-ai in gooseworks-ai/goose-skills

Extract competitor and customer intelligence from any company's landing page HTML.

MITAuto-check passedFrontend & Design

Install Landing Page Intel

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill landing-page-intel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills landing-page-intel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitive-intel/capabilities/landing-page-intel .claude/skills/landing-page-intel && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
landing-page-intel
GitHub stars
1.2k
Used in
1 other repo
Token cost
~779 tokens
SKILL.md length
269 words
Files
3 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Extract competitor and customer intelligence from any company's landing page HTML.

  • Tasks that involve Landing pages
  • SKILL.md covers Quick Start, What It Extracts, CLI Reference and GTM Use Cases, plus 1 more section
  • Runs Python scripts from its folder; calls python3 and pip
  • Tasks that involve Logo and visual identity

What it does

Landing Page Intel is an agent skill from gooseworks-ai/goose-skills. Extract competitor and customer intelligence from any company's landing page HTML. Discovers tech stack, analytics tools, ad pixels, customer logos, SEO metadata, CTAs, hidden elements, and more. No API keys required.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/scrape_landing_page.py` and `skill.meta.json`).

It sits in Frontend & Design, covering Landing pages and Logo and visual identity. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Landing pages
  • Tasks that involve Logo and visual identity

Example prompts

  • “/landing-page-intel”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Landing Page Intel loads about 779 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 269 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~779

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 269 words, ~779 tokens.

Download SKILL.mdSave it as .claude/skills/landing-page-intel/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
landing-page-intel
description
Extract competitor and customer intelligence from any company's landing page HTML. Discovers tech stack, analytics tools, ad pixels, customer logos, SEO metadata, CTAs, hidden elements, and more. No API keys required.

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.

bash
# 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.json

What It Extracts

CategoryDetails
Tech StackAnalytics (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 PixelsMeta Pixel, Google Ads, LinkedIn Insight Tag, TikTok pixel, Twitter pixel
Customer LogosImage URLs from "trusted by" / logo carousel sections, grouped by directory
SEO MetadataTitle, meta description, Open Graph tags, Twitter Cards, canonical URL, structured data (JSON-LD), hreflang tags
CTAs & Sales MotionAll CTA button text and links — reveals PLG vs sales-led motion
Social ProofTestimonials, customer counts, case study links, badge images
IntegrationsLinks to integration/partner pages, embedded third-party widgets
Hidden ElementsContent in display:none, hidden, or HTML comments that may reveal upcoming features
InfrastructureCMS platform (Webflow, WordPress, Next.js, etc.), detected from HTML signatures

CLI Reference

FlagDefaultDescription
--urlrequiredTarget website URL
--pages/Comma-separated paths to scan (e.g., /,/pricing,/about)
--outputjsonOutput format: json or summary
--timeout15Request 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.

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/competitive-intel/capabilities/landing-page-intel of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/scrape_landing_page.py
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Landing Page Intel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Landing Page Intel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Landing Page Intel this skillgooseworks-ai/goose-skills1.2k1 repos~779Automated safety check: PassMIT
Ark UIBrandon030722/ark-ui-skill268—~3.7kAutomated safety check: PassNone
Configure Sitepymc-labs/pathmc132—~2kAutomated safety check: PassMIT
Landingalirezarezvani/claude-skills28k—~3.8kAutomated safety check: PassMIT
Designjeremylongshore/tons-of-skills-marketplace2.8k—~1.9kAutomated safety check: PassMIT
Logo Revealucsandman/marketing-studio251—~471Automated safety check: PassMIT

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Questions about Landing Page Intel

What does Landing Page Intel do?

Extract competitor and customer intelligence from any company's landing page HTML. Landing Page Intel is an agent skill from gooseworks-ai/goose-skills. Extract competitor and customer intelligence from any company's landing page HTML.

When should I use Landing Page Intel?

Landing Page Intel fits situations like: tasks that involve Landing pages; tasks that involve Logo and visual identity.

How do I install Landing Page Intel in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill landing-page-intel -a claude-code`. Or copy the skill folder (skills/competitive-intel/capabilities/landing-page-intel in gooseworks-ai/goose-skills) into .claude/skills/landing-page-intel in your project. Claude Code loads it when a task matches its description.

How do I install Landing Page Intel in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill landing-page-intel -a codex`. Or copy the skill folder (skills/competitive-intel/capabilities/landing-page-intel in gooseworks-ai/goose-skills) into .agents/skills/landing-page-intel in your project. Codex loads it when a task matches its description.

Can I use Landing Page Intel in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill landing-page-intel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/landing-page-intel, .gemini/skills/landing-page-intel, .github/skills/landing-page-intel and .opencode/skills/landing-page-intel in your project.

What does Landing Page Intel need to run?

Going by SKILL.md and its folder, Landing Page Intel needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.

Does Landing Page Intel access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Landing Page Intel safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Landing Page Intel use?

Landing Page Intel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Landing Page Intel use?

About 779 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Landing Page Intel?

Skills that share tags, products or a category with Landing Page Intel: Ark UI (Brandon030722/ark-ui-skill, 268 stars), Configure Site (pymc-labs/pathmc, 132 stars), Landing (alirezarezvani/claude-skills, 28k stars) and Design (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Landing Page Intel?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.