What makes Landing Optimizer notable?

1.2K downloads. Trust evidence available

How should Landing Optimizer be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Landing Optimizer

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 campai... Skill: Landing Optimizer Owner: aaron-he-zhu Summary: 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 campai... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:40:48.880Z | auto Landing Optimizer v19.0.0 introduces minor updates and metadata improvements. - Updated SKILL.md: improved versioning, minor c

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

Updated

Oct 11, 2026

Version

19.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.2K downloadsadoption · observed Oct 11, 2026
Latest release: 19.0.0release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:landing-optimizer

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-landing-optimizer/snapshot"

Documentation

CLAWHUB

144,193 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: landing-optimizer
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"
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. 落地页优化/达人流量转化提升'
version: "19.0.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
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, dedicated creator pages, promo-code auto-apply, social-proof placement, mobile conversion fixes, friction reduction, or A/B test planning for influencer campaigns."
argument-hint: "<landing page URL or campaign> [influencer handle] [promo code]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "influencer", "phase": "report", "geo-relevance": "low", "hermes": {"tags": ["marketing", "influencer", "report"], "category": "influencer"}, "openclaw": {"emoji": "📣", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# 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](../../../ad/orchestrate/ad-creative-builder/SKILL.md), 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](../../../protocol/offer-claims-registry/SKILL.md) 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` (m

_meta.json

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  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "landing-optimizer",
  "version": "19.0.0",
  "publishedAt": 1784904048880
}

references/templates.md

# Landing Optimizer — Templates & Worked Examples

Fill-in templates, ASCII layouts, HTML snippets, and a full worked example for the [landing-optimizer](../SKILL.md) skill. The numbered headings map to the Instructions steps in `SKILL.md`.

---

## Step 1 — Current-State Audit

```markdown
### Landing Page Audit

**Campaign**: [name]
**Current URL**: [url]
**Traffic Source**: [influencer(s)]
**Current Conversion Rate**: [%]
**Goal**: [what counts as conversion]

### Traffic Context

| Factor | Details |
|--------|---------|
| Influencer(s) | @[handles] |
| Platform(s) | [platforms] |
| Content Type | [type] |
| Key Message | [what influencer says] |
| Promo Code | [code if applicable] |
| Audience | [demographics] |
```

---

## Step 2 — Message Match Analysis

```markdown
## Message Match Analysis

### Influencer Content → Landing Page

| Element | Influencer Says | Landing Page Shows | Match? |
|---------|-----------------|--------------------|----|
| Primary message | "[quote]" | "[page headline]" | ✅/⚠️/❌ |
| Value prop | "[benefit]" | "[benefit shown]" | ✅/⚠️/❌ |
| Offer | "[discount/deal]" | "[offer displayed]" | ✅/⚠️/❌ |
| Product | [shown/mentioned] | [featured] | ✅/⚠️/❌ |
| Tone | [style] | [page tone] | ✅/⚠️/❌ |

### Message Match Score: [X/10]

**Issues Found**:
- [Issue 1]: [how to fix]
- [Issue 2]: [how to fix]

**Why This Matters**:
When users click from an influencer's content, they expect continuity. A mismatch causes confusion and abandonment.
```

---

## Step 3 — Page Structure Recommendations

### Recommended Layout for Influencer Traffic

```
┌─────────────────────────────────────────────┐
│                   HEADER                     │
│  Logo | Nav (minimal) | Cart/CTA            │
├─────────────────────────────────────────────┤
│                   HERO                       │
│  Headline matching influencer message       │
│  Subheadline with value prop                │
│  Primary CTA button                         │
│  [Influencer mention/badge optional]        │
├─────────────────────────────────────────────┤
│              SOCIAL PROOF                   │
│  "@[influencer] loves it" + video/quote    │
│  OR: UGC gallery                           │
├─────────────────────────────────────────────┤
│              PRODUCT INFO                   │
│  Key features (3-5 max)                    │
│  Product images/video                      │
│  Price + promo code application            │
├─────────────────────────────────────────────┤
│           MORE SOCIAL PROOF                 │
│  Reviews, testimonials, other creators     │
├─────────────────────────────────────────────┤
│               FAQ/OBJECTIONS                │
│  Answer common concerns                    │
├─────────────────────────────────────────────┤
│              FINAL CTA                      │
│  Repeat offer + strong CTA                 │
├─────────────────────────────────────────────┤
│                  FOOTER                     │
│  Trust badges, polici

skill-card.md

## Description:

Landing Optimizer helps agents audit and improve influencer or paid-traffic landing pages by producing message-match findings, page-structure and social-proof recommendations, promo-code and CTA conversion plans, and A/B test roadmaps.

This skill is ready for commercial/non-commercial use.

## Publisher:

[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)

### License/Terms of Use:

MIT-0

## Use Case:

Marketing teams, ecommerce operators, and growth practitioners use this skill to improve landing pages for influencer campaigns or paid traffic. It turns campaign context, page state, promo-code details, and conversion goals into an optimization plan and testing roadmap.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may save landing-page URLs, promo codes, baseline conversion rates, and creator names into local memory.

Mitigation: Use a workspace appropriate for campaign data, redact sensitive details when possible, and clear saved state after the engagement if retention is not needed.

Risk: Optional analytics, CMS, A/B testing, or social analytics connectors may expose campaign account data to the agent.

Mitigation: Connect only accounts intended for this campaign, verify requested scopes, and disconnect connectors after analysis when ongoing access is unnecessary.

Risk: Conversion recommendations and projected impact estimates can be wrong or misleading if the supplied campaign context is incomplete.

Mitigation: Have a qualified marketer review the plan and validate changes with analytics or controlled A/B tests before relying on performance claims.

## Reference(s):

- [Landing Optimizer templates and worked examples](artifact/references/templates.md)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)
- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/landing-optimizer)

## Skill Output:

**Output Type(s):** [Markdown, Guidance, Code, Configuration]

**Output Format:** [Markdown report with tables, checklists, prioritized recommendations, an A/B test plan, and optional HTML snippets]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May save the optimization plan and selected campaign facts to local memory when the host supports skill state.]

## Skill Version(s):

19.0.0 (source: frontmatter and server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

distribution-manifest.json

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    "repository": "aaron-he-zhu/aaron-marketing-skills"
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}

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