Agent skill

Landing Optimizer

by aiskillstore in aiskillstore/marketplace

A skill your agent uses when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a…

Apache-2.0Auto-check passedMarketing & SEO

Install Landing Optimizer

skills CLI
$ npx skills add aiskillstore/marketplace --skill landing-optimizer -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace landing-optimizer --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aaron-he-zhu/landing-optimizer .claude/skills/landing-optimizer && 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-optimizer
GitHub stars
430
Token cost
~2.3k tokens
SKILL.md length
874 words
Files
3 (incl. references)
Skills in repo
1,044
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a…

  • Works in 8 steps: Assess current state — capture campaign,… → Evaluate message match — compare what… → Page structure — recommend the… → …
  • The user asks to optimize our landing page for influencer traffic
  • SKILL.md covers Quick Start, Skill Contract, Data Sources and Instructions, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Landing Optimizer is an agent skill from aiskillstore/marketplace. Use when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a message-match audit, page-structure and social-proof recommendations, a promo-code/CTA conversion plan, and an A/B test roadmap. Not for measuring campaign results after launch — use performance-analyzer.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/templates.md` and `skill-report.json`). Compatibility notes: Claude Code and compatible agent-skill hosts

It sits in Marketing & SEO, covering Landing pages, Influencer and creator marketing and A/B testing. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is Apache-2.0.

When your agent uses it

  • The user asks to optimize our landing page for influencer traffic
  • Fix our promo-code landing page
  • Improve conversion from a creator campaign
  • Produces a message-match audit

Example prompts

  • “optimize our landing page for influencer traffic”
  • “fix our promo-code landing page”
  • “improve conversion from a creator campaign”
  • “/landing-optimizer”

Requirements

  • Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Assess current state — capture campaign, URL, traffic source, current conversion rate, goal, and the traffic context (influencers…
  2. Evaluate message match — compare what the influencer says against what the page shows across message, value prop, offer, product, and…
  3. Page structure — recommend the influencer-traffic layout (hero → social proof → product → more proof → FAQ → final CTA) and give…
  4. Social proof integration — place the driving creator most prominently, then the proof hierarchy: other influencers → customer reviews →…
  5. Conversion optimization — tune CTA copy/placement, design the promo-code experience (auto-apply via URL param, prominent display…
  6. A/B testing plan — rank tests by impact/effort, then write at least one hypothesis with variants, sample size, duration, and success metric.
  7. Influencer-specific pages — decide whether a dedicated /creator-name page is warranted and what to personalize.
  8. Performance tracking — set targets for load time, bounce, CR, add-to-cart, AOV; define UTM params and events for attribution.

What it can do on your machine

Read from SKILL.md and the folder at commit 755bc35. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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.

  • Compatibility

    Claude Code and compatible agent-skill hosts

    From compatibility in the SKILL.md frontmatter.

Context cost

Landing Optimizer loads about 2.3k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 874 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.7k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from aiskillstore/marketplace at commit 755bc35, republished under its Apache-2.0 licence (© aiskillstore). 874 words, ~2,255 tokens.

Download SKILL.mdSave it as .claude/skills/landing-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
landing-optimizer
description
Use when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a message-match audit, page-structure and social-proof recommendations, a promo-code/CTA conversion plan, and an A/B test roadmap. Not for measuring campaign results after launch — use performance-analyzer.
compatibility
Claude Code and compatible agent-skill hosts
slug
landing-optimizer
displayName
Landing Optimizer · 落地页优化
summary
流量落地页转化优化:信息匹配、首屏、CTA 与信任要素
version
17.0.0
license
Apache-2.0
homepage
https://github.com/aaron-he-zhu/aaron-marketing-skills
when_to_use
Activate when the user wants to build or improve a landing page that receives influencer-driven traffic: message match between creator content and the page…
argument-hint
<landing page URL or campaign> [influencer handle] [promo code]
metadata.author
aaron-he-zhu
metadata.version
17.0.0

Landing Optimizer

This skill helps you create and optimize landing pages specifically for influencer marketing traffic. When users click from an influencer's post, the landing experience should feel connected and optimized for conversion.

Cross-discipline (paid ads): this is also the paid-ads post-click skill — the page half of the ROAS Offer message-match (it pairs with ad-creative-builder, which owns the ad half). The same diagnose-and-fix flow applies to paid landing pages; save paid runs under memory/ad/landing-optimizer/. On paid runs, message-match the page against the offer-claims-registry ledger when present: offer terms, promo codes, and dates against memory/claims/offers.md, and claim wording against the approved variants in memory/claims/claims-ledger.md.

Quick Start

Shortest invocation:

Optimize our landing page for traffic from [influencer campaign]

Common scenario — diagnose and fix a low-converting creator page:

Our influencer landing page has [X%] conversion rate. How can we improve it?

Skill Contract

  • Reads: landing page URL and current state, conversion rate and goal, traffic source (influencer handles, platforms, content type), the influencer's key message/quote, promo code, audience demographics. Inputs come from the user when no tool is connected.
  • Writes: optimization plan saved to memory/influencer/landing-optimizer/YYYY-MM-DD-<topic>.md (message-match audit, structure and social-proof recommendations, conversion/CTA plan, A/B test roadmap).
  • Promotes: durable facts — active campaign name, page URL, baseline conversion rate, promo code, primary creator — to memory/hot-cache.md.
  • Done when:
    • Message-match score and named fixes are produced for the page.
    • A prioritized conversion plan (CTA, promo-code experience, friction, mobile) exists with expected impact.
    • An A/B test roadmap with at least one hypothesis and success metric is written.
  • Primary next skill: performance-analyzer — measure whether the optimizations moved conversion.
Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

This family needs no live integrations (Tier 1). The skill works by asking the user for the page URL, current conversion rate, the influencer's message, and the promo code, then producing the audit and plan from those inputs.

Optional connectors that can deepen the analysis when available:

  • ~~analytics — pull live conversion rate, bounce rate, scroll depth, and add-to-cart events instead of asking.
  • ~~A/B testing platform — read past test results and feed sample-size/duration estimates.
  • ~~CMS / landing page builder — inspect current page structure and copy directly.
  • ~~social platform analytics — confirm the creator's actual messaging and audience.

See CONNECTORS.md for the verified free/keyless recipe per category. Every step degrades gracefully to user-supplied inputs.

Instructions

When a user requests landing page help, work through these steps. Each step's fill-in template, ASCII layout, and HTML snippet live in references/templates.md — keyed by the same step numbers.

  1. Assess current state — capture campaign, URL, traffic source, current conversion rate, goal, and the traffic context (influencers, platforms, content type, key message, promo code, audience).
  2. Evaluate message match — compare what the influencer says against what the page shows across message, value prop, offer, product, and tone; produce a Message Match Score (X/10) and named fixes. Mismatch causes confusion and abandonment. For paid runs, also verify the page's offer/promo terms against memory/claims/offers.md when the ledger exists — an ad's "50% off" promise is only true while the offer row is live.
  3. Page structure — recommend the influencer-traffic layout (hero → social proof → product → more proof → FAQ → final CTA) and give section-by-section hero/social-proof/product fixes.
  4. Social proof integration — place the driving creator most prominently, then the proof hierarchy: other influencers → customer reviews → trust indicators.
  5. Conversion optimization — tune CTA copy/placement, design the promo-code experience (auto-apply via URL param, prominent display, confirmation), cut friction, and check mobile (load speed, thumb-friendly CTA, scroll depth).
  6. A/B testing plan — rank tests by impact/effort, then write at least one hypothesis with variants, sample size, duration, and success metric.
  7. Influencer-specific pages — decide whether a dedicated /creator-name page is warranted and what to personalize.
  8. Performance tracking — set targets for load time, bounce, CR, add-to-cart, AOV; define UTM params and events for attribution.

Save the finished plan to memory/influencer/landing-optimizer/YYYY-MM-DD-<topic>.md (paid runs to memory/ad/landing-optimizer/) and promote durable facts to memory/hot-cache.md.

Show full SKILL.md (252 more words)Show less

Example

User: "Our landing page for @fitnessanna's protein powder campaign has a 1.2% conversion rate. How can we improve it?"

Output (abridged — full version in references/templates.md):

  • Diagnosis: 1.2% CR, below the 2-3% benchmark for influencer traffic.
  • Issues: message mismatch (Anna says "smooth texture", page leads with "high protein"); Anna's content not featured; code ANNA20 not auto-applied; mobile CTA below the fold.
  • Priority fixes: Anna's video in hero (+0.5%), auto-apply promo (+0.3%), headline match (+0.3%), CTA above fold on mobile (+0.2%) → combined 1.2% → 2.5% CR.
  • Test plan: wk1 hero changes, wk2 headline A/B, wk3 CTA copy.

Reference Materials

  • templates.md — all step fill-in templates, ASCII layouts, HTML snippets, the full worked example, and tips.

  • skill-contract.md — shared contract and Handoff Summary format.

  • state-model.md — memory tiers and save-path conventions.

  • CONNECTORS.md — free/keyless data recipes per connector category.

  • conversion-quality.md — advisory conversion rubric (non-veto) to sanity-check the optimization plan.

  • Sibling skills in the influencer-marketing family:

Next Best Skill

Primary: performance-analyzer — measure whether the optimizations actually moved conversion, AOV, and attribution.

Alternates (same Measure family):

  • content-amplifier — when the audit shows the page needs more creator content to feature.
  • roi-calculator — when the page's conversion is validated and you want to translate it into ROI and payback math.

Termination note: Maintain a visited-set this session. If a recommended skill has already been invoked, stop and report the chain as complete rather than re-running it. Hard stop at chain depth 3 to avoid loops.

© aiskillstore, Apache-2.0. 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 (references) in skills/aaron-he-zhu/landing-optimizer of aiskillstore/marketplace.

  • SKILL.md
  • references/templates.md
  • skill-report.json

Open the folder on GitHubat commit 755bc35

Compare with similar skills

Landing Optimizer 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 Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Landing Optimizer this skillaiskillstore/marketplace430—~2.3kAutomated safety check: PassApache-2.0
Landing Optimizeraaron-he-zhu/aaron-marketing-skills2.9k—~3.3kAutomated safety check: PassApache-2.0
Ad Creativeindranilbanerjee/digital-marketing-pro8591 repos~1.7kAutomated safety check: PassMIT
Launch Campaignindranilbanerjee/digital-marketing-pro8591 repos~3.6kAutomated safety check: NotesMIT
Page Croborghei/Claude-Skills886—~5.9kAutomated safety check: PassMIT
Ad Creative Builderaaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.2kAutomated safety check: PassApache-2.0

Similar skills

  • Landing Optimizer

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a…

    2.9k GitHub stars~3.3k tokensUpdated today
    Marketing & SEOAuto-check passed
  • Ad Creative

    indranilbanerjee/digital-marketing-pro

    Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags…

    859 GitHub starsUsed in 1 repo~1.7k tokens
    Marketing & SEOAuto-check passed
  • Launch Campaign

    indranilbanerjee/digital-marketing-pro

    Orchestrate the full multi-channel launch of an approved campaign plan — pre-launch BLOCKER gates (approved plan, assets present, connectors probed, conversion tracking verified, C2PA-signed AI…

    859 GitHub starsUsed in 1 repo~3.6k tokens
    Marketing & SEOAuto-check: notes
  • Page Cro

    borghei/Claude-Skills

    Landing page and marketing page conversion rate optimization covering value proposition clarity, headline effectiveness, CTA hierarchy, visual flow, social proof placement, objection handling, and…

    886 GitHub stars~5.9k tokensUpdated yesterday
    Marketing & SEOAuto-check passed
  • Ad Creative Builder

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "write ad copy", "generate RSA headlines", or "build ad creative at volume"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix…

    2.9k GitHub starsUsed in 2 repos~2.2k tokens
    Marketing & SEOAuto-check passed
  • Autoresearch

    ericosiu/ai-marketing-skills

    Run Karpathy-style autoresearch optimization on any content.

    3.6k GitHub starsUsed in 2 repos~2.2k tokens
    Marketing & SEOAuto-check passed

More from aiskillstore/marketplace

All 1,044 skills in this repo
  • Code Stats

    aiskillstore/marketplace

    Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs).

    430 GitHub starsUsed in 1 repo~697 tokens
    Auto-check: notes
  • Data Processing

    aiskillstore/marketplace

    Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace.

    430 GitHub starsUsed in 1 repo~720 tokens
    Auto-check: notes
  • Doc Scanner

    aiskillstore/marketplace

    Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance.

    430 GitHub starsUsed in 1 repo~644 tokens
    Auto-check: notes
  • File Search

    aiskillstore/marketplace

    Modern file and content search using fd, ripgrep (rg), and fzf.

    430 GitHub starsUsed in 1 repo~598 tokens
    Auto-check: notes
  • Find Replace

    aiskillstore/marketplace

    Modern find-and-replace using sd (simpler than sed) and batch replacement patterns.

    430 GitHub starsUsed in 1 repo~527 tokens
    Auto-check: notes
  • Project Planner

    aiskillstore/marketplace

    Detects stale project plans and suggests session commands. An agent skill from aiskillstore/marketplace.

    430 GitHub starsUsed in 1 repo~504 tokens
    Auto-check passed

Questions about Landing Optimizer

What does Landing Optimizer do?

A skill your agent uses when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a…. Landing Optimizer is an agent skill from aiskillstore/marketplace. Use when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a message-match audit, page-structure and social-proof recommendations, a promo-code/CTA conversion plan, and an A/B test roadmap.

When should I use Landing Optimizer?

Landing Optimizer fits situations like: the user asks to optimize our landing page for influencer traffic; fix our promo-code landing page; improve conversion from a creator campaign; produces a message-match audit.

How do I install Landing Optimizer in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill landing-optimizer -a claude-code`. Or copy the skill folder (skills/aaron-he-zhu/landing-optimizer in aiskillstore/marketplace) into .claude/skills/landing-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Landing Optimizer in Codex?

Run `npx skills add aiskillstore/marketplace --skill landing-optimizer -a codex`. Or copy the skill folder (skills/aaron-he-zhu/landing-optimizer in aiskillstore/marketplace) into .agents/skills/landing-optimizer in your project. Codex loads it when a task matches its description.

Can I use Landing Optimizer 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 aiskillstore/marketplace --skill landing-optimizer -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-optimizer, .gemini/skills/landing-optimizer, .github/skills/landing-optimizer and .opencode/skills/landing-optimizer in your project.

What does Landing Optimizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Landing Optimizer is instructions for the agent only. Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts.

Does Landing Optimizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Landing Optimizer 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. Review the folder before installing.

What licence does Landing Optimizer use?

Landing Optimizer is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Landing Optimizer use?

About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.

What are the alternatives to Landing Optimizer?

Skills that share tags, products or a category with Landing Optimizer: Landing Optimizer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Ad Creative (indranilbanerjee/digital-marketing-pro, 859 stars), Launch Campaign (indranilbanerjee/digital-marketing-pro, 859 stars) and Page Cro (borghei/Claude-Skills, 886 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Landing Optimizer?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 9, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.