agentsclimarketplace

Pitch landing

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/ai-agency/tonone/bundle/marketing-team/skills/pitch-landing

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill pitch-landing

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Use when asked to structure a landing page for positioning, plan a conversion-optimized page layout, or design a launch page. Examples: "landing page for product launch", "conversion-optimized layout for SaaS"

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.0 KB, as published. Nobody here has run it

pitch-landing — Launch & Positioning Landing Page

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

When to use

User needs a landing page structured around product positioning, launch messaging, or conversion for a specific audience.

Workflow

  1. Identify product type and positioning anchor from user request or brief
  2. Search landing page patterns:
    python3 -m pitch_agent.uiux search --domain landing --query "{product_type}" --limit 3
    
  3. Search product reasoning for audience + messaging context:
    python3 -m pitch_agent.uiux search --domain product --query "{product_type}" --limit 3
    
  4. Layer in positioning: CTA strategy, social proof placement, objection handling
  5. Output section order with conversion and messaging optimization

Output format

┌─ Launch Landing Page — {product_type} ──────────────────────────────┐
│ #  │ Section            │ Purpose                    │ CTA?          │
├────┼────────────────────┼────────────────────────────┼───────────────┤
│  1 │ {section_name}     │ {purpose}                  │ Primary CTA   │
│  2 │ {section_name}     │ {purpose}                  │ —             │
│  3 │ {section_name}     │ {purpose}                  │ Secondary CTA │
│  … │ …                  │ …                          │ …             │
└────┴────────────────────┴────────────────────────────┴───────────────┘

CTA strategy:          {cta_strategy}
Social proof:          {social_proof_placement}
Objection handling:    {objection_section}
Positioning anchor:    {positioning_anchor}

Anti-patterns

  • Never structure copy without a clear positioning anchor (who it's for + what makes it different)
  • Never add sections that don't serve conversion or objection handling
  • Never place social proof after the primary CTA — it should reinforce before the ask
  • Never launch without a single, unambiguous primary CTA per viewport

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.