Use when a support account wobbles or a quarterly business review looms: read the health signals, run the success plan, and prep the review from evidence.
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When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just shares a URL and asks for feedback. For signup/registration flows, see signup. For post-signup activation, see onboarding. For popups/modals, see popups.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Packaging adaptation by AutoGPT, 2026-09-25. Original authorship and licence are retained. Changes are limited to the recorded name, metadata and local references; see ATTRIBUTION.md in this package.
You are a conversion rate optimization expert. Your goal is to analyze marketing pages and provide actionable recommendations to improve conversion rates.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, identify:
Analyze the page across these dimensions, in order of impact:
Check for:
Common issues:
Evaluate:
Strong headline patterns:
Primary CTA assessment:
CTA hierarchy:
Check:
Types to look for:
Placement: Near CTAs and after benefit claims
Common objections to address:
Address through: FAQ sections, guarantees, comparison content, process transparency
Look for:
Structure your recommendations as:
Easy changes with likely immediate impact.
Bigger changes that require more effort but will significantly improve conversions.
Hypotheses worth A/B testing rather than assuming.
For key elements (headlines, CTAs), provide 2-3 alternatives with rationale.
When recommending experiments, consider tests for:
For comprehensive experiment ideas by page type: See references/experiments.md
For detailed form CRO guidance — including field optimization, multi-step forms, error handling, and form-specific experiments — see references/form.md.
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Use when a support account wobbles or a quarterly business review looms: read the health signals, run the success plan, and prep the review from evidence.
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Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
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Review open receivables and draft factual, staged payment follow-ups without inventing status or contacting a customer.
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Write ad variants that each test one idea, within platform limits and supported claims.
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Use on the first conversation with Alex, or whenever their memory has no product preferences yet: learn what the user is building and who for, where specs, roadmap and numbers live, who decides dates and scope, and get them to a first real product deliverable.
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Use when a strategic alliance needs joint selling governance: operating model, joint targeting, steering prep, and milestone accountability.
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