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xammarie

landing-page-roast

by xammarie · GitHub ↗ · v1.0.1
cross-platform ✓ Security Clean
1311
Downloads
1
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install landing-page-roast
Description
Audit a landing page for clarity, trust, offer strength, and conversion friction; return prioritized fixes and copy rewrites.
README (SKILL.md)

Landing Page Roast

Use this skill to diagnose why a page is not converting and produce concrete fixes.

Inputs

  • Page URL or pasted page copy
  • Target audience
  • Primary conversion action
  • Price point / offer details

Audit dimensions

  1. Clarity above the fold
    • Is the outcome obvious in 5 seconds?
  2. Audience fit
    • Is it clear who this is for (and not for)?
  3. Offer strength
    • Is the promise specific, measurable, believable?
  4. Trust layer
    • social proof, proof artifacts, risk reversal
  5. Friction
    • too many fields, weak CTA hierarchy, distractions
  6. Objection handling
    • price/time/risk doubts addressed?

Output

  • Overall score (0–10)
  • Top 5 blockers (ranked by impact)
  • Quick wins (\x3C30 min changes)
  • Structural rewrites (headline, subhead, CTA block)
  • 3 CTA variants
  • Optional A/B test matrix (what to test first)

Rewrite standards

  • Plain language
  • Specific outcomes over buzzwords
  • Fewer claims, more proof
  • Keep tone consistent with target audience

Example request

"Roast this AI automation service page for SMB owners and rewrite the hero + first CTA section to increase booked calls."

Usage Guidance
This skill appears coherent and low-risk: it only needs a page URL or pasted copy and returns audit suggestions. Before using it, avoid pasting sensitive information (API keys, private customer data, auth tokens) into the input. If you provide a URL, confirm whether your agent will fetch the page directly (and whether it will send cookies or authenticated requests); prefer public pages or sanitized copies. Finally, review any suggested copy or A/B tests yourself before publishing — the skill aids decision-making but should not be treated as authoritative without human review.
Capability Analysis
Type: OpenClaw Skill Name: landing-page-roast Version: 1.0.1 The skill defines a 'landing-page-roast' functionality, instructing the AI agent to audit a given page URL or copy for conversion effectiveness and suggest improvements. All instructions in SKILL.md are aligned with this stated purpose, focusing on analytical tasks and content generation. There are no indications of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's intended behavior. The 'Page URL' input is a legitimate requirement for the skill's function and does not inherently imply malicious intent from the skill definition itself.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions: the skill asks for a page URL or pasted copy and produces audit scores, prioritized fixes, and rewrites. It requests no binaries, env vars, or config paths—proportional for a copy/UX audit.
Instruction Scope
SKILL.md stays within the stated domain (clarity, audience fit, offer strength, trust, friction, objections) and defines concrete outputs. It does not instruct the agent to read unrelated files, environment variables, or send data to unknown endpoints. One minor ambiguity: it accepts a URL but doesn't specify whether the agent should fetch the page itself or expect pasted content; this is a usability note, not a security issue.
Install Mechanism
No install spec and no code files — instruction-only skill with no disk writes or downloaded artifacts, which is the lowest-risk installation profile.
Credentials
No credentials, tokens, or config paths are requested. The required inputs (URL/copy, audience, conversion action, offer details) are appropriate and minimal for the stated purpose.
Persistence & Privilege
Does not request always:true or any elevated persistence. Default autonomous invocation is permitted by platform policy but, on its own, does not introduce additional incoherence with the skill's purpose.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install landing-page-roast
  3. After installation, invoke the skill by name or use /landing-page-roast
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Expanded detailed docs and practical frameworks
Metadata
Slug landing-page-roast
Version 1.0.1
License
All-time Installs 3
Active Installs 3
Total Versions 1
Frequently Asked Questions

What is landing-page-roast?

Audit a landing page for clarity, trust, offer strength, and conversion friction; return prioritized fixes and copy rewrites. It is an AI Agent Skill for Claude Code / OpenClaw, with 1311 downloads so far.

How do I install landing-page-roast?

Run "/install landing-page-roast" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is landing-page-roast free?

Yes, landing-page-roast is completely free (open-source). You can download, install and use it at no cost.

Which platforms does landing-page-roast support?

landing-page-roast is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created landing-page-roast?

It is built and maintained by xammarie (@xammarie); the current version is v1.0.1.

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