Results for “sign”

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.

Analyzes content for E-E-A-T signals and suggests improvements to build authority and trust. Identifies missing credibility elements. Use PROACTIVELY for YMYL topics.

Design statistically valid A/B tests with hypothesis frameworks, sample size calculations, and analysis checklists.

Structure and draft a Confidential Information Memorandum for a sell-side M&A process — the disclosed marketing document sent to buyers after they sign an NDA.

Calculate SaaS revenue, retention, and growth metrics to diagnose momentum, churn, expansion, or product-market-fit signals.

Analyzes project memory and git history to track improvements, update documentation, and generate LinkedIn content drafts after significant sessions.

Provides 20 standard operating procedures for growth teams, covering A/B testing, analytics tracking, and related growth workflows.

Write high-engagement LinkedIn posts using hook formulas, formatting rules, and engagement patterns.

Finds upsell and cross-sell opportunities in existing client accounts. Detects new product launches, traffic growth, hiring signals, funding events, and underutilized services. Maps opportunities to agency service offerings.

Plan, design, and analyze A/B tests and growth experiments, from hypothesis to statistically sound results.

Plan, design, and implement A/B tests and experiments with statistical rigor, or build a growth experimentation program.

Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines. Use PROACTIVELY for content review.

Optimize post-signup onboarding, user activation, first-run experience, and time-to-value with actionable audits and flow designs.

Synthesize market breadth, regime, and flow signals into a unified capital commitment recommendation with exposure ceiling, bias, and action guidance.

Optimize post-signup onboarding, user activation, first-run experience, and time-to-value with structured audits, flow design, and measurement plans.

Analyzes marketing pages and provides actionable conversion rate optimization recommendations, covering value proposition, headlines, CTAs, trust signals, and friction points.

Use this skill for crawlability, indexability, metadata, canonical tags, robots, sitemaps, internal signals. Trigger when the task involves seo work related to Technical SEO Audit, production implementation, audits, debugging, strategy, or validation.

Optimize non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure covering screening, deep dive, entry planning, and post-purchase monitoring.

Design and evaluate paid-ad experiments with hypotheses, randomization, sample-size calculations, guardrails, and decision rules for A/B and split tests.

Strip AI-generated tells from a draft and rewrite it in Heath's personal voice (GTM Juice). Fire whenever the user asks to "humanize", "de-AI", "clean up", "rewrite in my voice", "make this sound like me", "kill the AI tells", or "polish this draft". Also fires as the mandatory final pass inside juice-content-dispatch — every LinkedIn post, newsletter, and video script drafted there must run through this skill before the Notion write. Applies the 29-pattern Wikipedia "Signs of AI writing" catalog (em dashes, significance inflation, promotional language, rule of three, synonym cycling, inline-header lists, sycophantic tone, hyphenated word pairs, persuasive-authority tropes, signposting, etc.), then applies a hardcoded Heath-voice calibration: self-implicating first, failure-derived, plain declaratives over bumper-sticker aphorisms, no bow-tied endings, never Mixmax corporate brand voice. Forked from blader/humanizer (MIT).

Optimizes non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Analyzes content quality and E-E-A-T signals, scores readability, keyword use, structure, and AI citation readiness, and flags thin or outdated content.

Optimizes non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Analyze marketing pages and provide actionable recommendations to improve conversion rates, covering value proposition, headlines, CTAs, visual hierarchy, trust signals, objection handling, and friction points.

Compares 2–5 audience segments side by side across key metrics, identifying winners, losers, and significant differences to inform product decisions and personalization strategy.

Tracks a named competitor's launches, pricing changes, and positioning shifts, and alerts only on significant moves with source-backed analysis.

Optimize non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Optimize any form that is NOT signup or account registration — including lead capture, contact, demo request, application, survey, quote, and checkout forms. Use when the goal is to increase form completion rate, reduce friction, or improve lead quality without breaking compliance or downstream workflows.

Conversion Rate Optimization auditing for landing pages, signup flows, checkout funnels, forms, and CTAs. Identifies friction points, runs heuristic evaluations, produces prioritized recommendations using ICE/PIE frameworks. Use when the user asks about conversion optimization, funnel analysis, landing page audits, form optimization, CTA testing, or checkout improvement.

Audits and fixes technical SEO, on-page metadata, structured data, Core Web Vitals, llms.txt, and AI-search optimization for ChatGPT, Perplexity, and AI Overviews, including E-E-A-T signals and programmatic SEO.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

Analyzes competitor products by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices, SWOT analyses, positioning maps, UX audits, pricing breakdowns, action plans, and presentations.

Knowledge base from "Oversubscribed: How to Get People Lining Up to Do Business with You" by Daniel Priestley. Use when applying Priestley's frameworks for demand generation, the Campaign Driven Enterprise (CDE) method, signalling, the 7-Hour Rule, products-for-prospects, becoming oversubscribed, or building a Key Person of Influence brand — or when studying or referencing the book.

Use when asked to "QA this", "is this ready to ship?", "test it like a user", "bug hunt", "sign off this build/phase", or before declaring a web app / feature shippable — a real-user QA pass that files severity-ranked bug reports and returns a binary ship verdict. Not for visual/CRO polish (frontend-audit) or fixing an already-reported UI bug (ui-fix-observe-first).

Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".