
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 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
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills --skill landing-optimizer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads landing-optimizer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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 againstmemory/claims/offers.md, and claim wording against the approved variants inmemory/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: a transient landing-page locator plus opaque
page_ref/snapshot ref and current state, conversion rate and goal, traffic source, stable opaquecreator_ref, platforms/content type, and any proposed creator display name, message, quote, asset, embed, or screenshot. Every creator reuse also reads the exact frozenapproved_asset_refplus creator-content-auditorapproval_ref, and a rights record that isactive, dated/evidenced, unexpired, and explicitly scoped to channel, territory, format, duration, and paid-vs-organic use. Inputs come from the user when no tool is connected. - Writes: return the optimization plan inline by default; save it to
memory/influencer/landing-optimizer/YYYY-MM-DD-<topic>.md(or the declared paid path) only with exact WARM-save authorization. Saved artifacts and handoffs keepcreator_ref,page_ref,snapshot_ref, frozen asset/approval refs, and opaque rights/evidence refs only—never a raw creator handle/name, profile/content/page URL, email, provider ID, or embedded creator media. - Promotes: only with separate exact authorization, promote durable facts — active campaign ref, opaque page ref, baseline conversion rate, promo code ref, primary
creator_ref— tomemory/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 evidence-labeled impact or
Unknown/NEEDS_INPUT. - An A/B test roadmap with at least one hypothesis and success metric is written.
- Every proposed creator name/quote/asset/embed/screenshot reuse has the exact frozen auditor approval and an active dated scoped-rights row covering the whole implementation/test duration; blocked reuse remains
NEEDS_INPUTand is neither copied nor tested.
- 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 from a transient page locator, current conversion data, opaque creator/page/evidence refs, approved messaging, and the rights inputs supplied by the user. A brief, draft, public post, or contract label does not substitute for the exact frozen creator-content-auditor approval plus current scoped-rights evidence.
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.
Creator-reuse gate: before copying, proposing, publishing, or testing any creator display name, quote, claim excerpt, video, image, thumbnail, embed, screenshot, badge, testimonial, creator-specific path, or creator-linked tracking token, require all of the following for that exact reuse: stable opaque creator_ref; exact frozen approved_asset_ref; matching creator-content-auditor approval_ref with approved status for that version; rights status active; status_observed_at; opaque status_evidence_ref; unexpired start/end or perpetual duration; and explicit channel, territory, format, duration, and paid | organic | both scope matching the page and its entire proposed experiment/flight. Resolve any permitted display name or media locator only transiently at implementation. If any field is missing, stale, non-active, expired during the proposed test, disputed, revoked, unknown, or out of scope, return NEEDS_INPUT for that reuse and do not copy the name/quote, embed or screenshot the asset, publish a variant, or start a test. You may still audit non-creator page elements with opaque snapshot refs and propose generic placeholders.
- Assess current state — capture campaign ref, transient page locator plus opaque page/snapshot refs, traffic source, current conversion rate, goal, and the traffic context (
creator_ref, platforms, content type, approved message ref, promo code ref, audience). Keep raw locators transient. - Evaluate message match — compare only a creator message cleared by the reuse gate against the supplied page snapshot across message, value prop, offer, product, and tone; produce a Message Match Score (X/10) and named fixes. If the frozen approval or rights row is missing, keep the creator side
Unknown, returnNEEDS_INPUT, and do not quote or paraphrase it into page copy. For paid runs, also verify the page's offer/promo terms againstmemory/claims/offers.mdwhen the ledger exists — an ad's "50% off" promise is only true while the offer row is live. - Page structure — recommend the influencer-traffic layout (hero → social proof → product → more proof → FAQ → final CTA) and give section-by-section fixes. Any creator-specific slot stays an opaque placeholder until the reuse gate passes.
- Social proof integration — use a creator name, quote, asset, embed, screenshot, badge, or testimonial only when its exact frozen approval and rights scope pass; otherwise omit it and return
NEEDS_INPUT. Apply the same gate separately to every additional creator. - 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).
- A/B testing plan — rank supported tests by impact/effort, then write at least one hypothesis with variants, sample size, duration, and success metric. Do not include or start a creator-name/asset/quote variant unless the approved rights duration covers the full planned test and resulting publication period.
- Influencer-specific pages — decide whether a dedicated creator page is warranted. A creator name in the path or page, creator-linked tracking token, and every personalized asset each require the reuse gate; otherwise use a generic campaign page and opaque tracking ref.
- Performance tracking — set targets for load time, bounce, CR, add-to-cart, AOV; define UTM params and events for attribution.
Return the finished plan inline. Offer memory/influencer/landing-optimizer/YYYY-MM-DD-<topic>.md (or memory/ad/landing-optimizer/ for paid runs) for exact WARM-save authorization, and ask separately before any HOT promotion. Before save/handoff, replace raw creator identities, media/page/profile URLs, and copied creator text with opaque refs; the persisted plan resolves nothing directly.
Example
User: "Our dated analytics export shows 1.2% CR versus our source-dated 2–3% target. Use creator_ref: creator-042, approved_asset_ref: asset-v7, and its frozen creator-content-auditor approval_ref. The supplied rights row is active, observed today with an opaque evidence ref, and covers US web landing-page display of the approved name, exact quote, video embed, and screenshot formats for both paid and organic traffic through the full six-week test/flight. The approved asset says 'smooth texture'; the page snapshot leads with 'high protein', omits the video, does not auto-apply the promo, and places the mobile CTA below the fold. Build a plan."
Output (abridged — full version in references/templates.md):
- Diagnosis: 1.2% CR, below the supplied 2–3% target for influencer traffic.
- Issues: message mismatch (the frozen approved asset says "smooth texture", while the page snapshot leads with "high protein"); the approved creator asset is absent; the promo is not auto-applied; the mobile CTA is below the fold.
- Priority fixes: test the exact frozen approved video in the hero within its active scoped rights, auto-apply the promo, match the headline to approved wording, and move the mobile CTA above the fold. Any lift is Unknown until the predeclared A/B test reaches its decision rule; do not add isolated lift estimates into a promised CR.
- Test plan: wk1 hero changes, wk2 headline A/B, wk3 CTA copy.
Reference Materials
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templates.md — all step fill-in templates, ASCII layouts, HTML snippets, the full worked example, and tips.
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skill-contract.md — shared contract and Handoff Summary format.
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state-model.md — memory tiers and save-path conventions.
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CONNECTORS.md — free/keyless data recipes per connector category.
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conversion-quality.md — advisory conversion rubric (non-veto) to sanity-check the optimization plan.
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Sibling skills in the influencer-marketing family:
- content-amplifier — source creator content for landing pages and drive traffic to them.
- brief-generator — align creator content with landing goals.
Next Best Skill
Primary: performance-analyzer — measure whether the optimizations actually moved conversion, AOV, and attribution.
Alternates (same Report 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.
FAQ
What does the landing-optimizer skill do?
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
How do I install landing-optimizer?
Run npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills --skill landing-optimizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/landing-optimizer/ (personal) or .claude/skills/landing-optimizer/ (project).
Which AI agents can use landing-optimizer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is landing-optimizer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains landing-optimizer?
It is published by aaron-he-zhu in aaron-he-zhu/aaron-marketing-skills. It has 1,054 recorded installs.
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