'cta' 검색 결과

Draft marketing content for blogs, social media, newsletters, landing pages, press releases, and case studies. Use channel-specific structures to shape headlines, search-friendly copy, and calls to action that tell readers what to do next.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a blog post with keywords and a meta description
• Write social posts suited to each platform
• Create newsletter subject lines and body copy

Turn a product description into a landing page with headlines, feature sections, pricing, FAQs, and calls to action. Receive Next.js/React components styled with Tailwind CSS, plus search metadata, structured data, and alternative copy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a landing page for a new product
• Building a campaign or lead capture page
• Comparing headline and page variants

Add or modify Tauri commands in the screenpipe desktop app and regenerate TypeScript bindings, the code connecting frontend calls to Rust handlers. Follow the required annotations and checks to keep both sides consistent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a command to the desktop app
• Updating Rust types exposed to the frontend
• Regenerating TypeScript bindings after changes

Edit drafts to remove predictable AI writing habits, including filler phrases, formulaic contrasts, vague claims, and repetitive sentence rhythms. Use concrete wording and active voice, then assess the prose across five review criteria.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Editing AI-generated drafts
• Removing filler and formulaic phrasing
• Reviewing sentence rhythm and clarity

Edit drafts to remove predictable AI writing patterns, including filler, formulaic contrasts, and vague claims. Make prose more direct and specific, vary sentence rhythm, and assess quality across five dimensions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Editing AI-generated drafts
• Removing filler and formulaic phrasing
• Checking clarity and sentence rhythm

Analyze rejected plans and reviewer feedback to identify recurring concerns, changing expectations, and concrete prompt improvements. Produce an HTML dashboard from Plannotator archives, or use Claude Code plan rejection reasons when those archives are unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding recurring reasons for plan rejection
• Understanding how review expectations changed
• Deriving planning instructions from past feedback

Build a single-page landing page for a SaaS product, organizing supplied content into features, steps, pricing, and frequently asked questions. Include action buttons and a customer logo section, with a single-column layout on mobile.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a landing page for a SaaS product
• Organizing features, usage steps, and pricing
• Designing a product page for desktop and mobile

Create a 16:9 product launch presentation with a dark cover and bright content slides. Introduce the problem, show the product, present three to six features and pricing tiers, then close with a clear call to action.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing slides for a new product announcement
• Explaining the problem behind a product
• Presenting product features and pricing tiers

Create a single-column HTML email for a product launch, with a centered brand wordmark, hero image block, headline, copy, action button, specifications, and footer. Table-based layout and inline colors support compatibility with email clients.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an email to announce a new product
• Combining product specifications and an action button
• Building a branded HTML newsletter

Create and verify gentle-ai journeys, which are scripted sequences of product actions. Check their declarations separately from actual execution, review outdated expectations after behavior changes, and record execution results for pull requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a product operation journey
• Updating expectations after behavior changes
• Reproducing a bench failure from CI

Assess how applications use encryption, signed tokens, and random values. Identify implementation weaknesses, select relevant testing tools, and document causes and fixes for issues involving encryption modes, RSA parameters, predictable randomness, and key derivation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing encrypted cookies and tokens
• Checking RSA keys and cryptographic settings
• Testing session token predictability

Develop public equity trade pitches for portfolio managers, covering long, short, or paired positions. Explain the difference from market expectations, potential catalysts, gains and losses, risk considerations, and exit rules, while labeling assumptions and missing evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop a long or short equity trade pitch
• Compare a trade thesis with market expectations
• Test catalysts, scenarios, and risk controls

Investigate why a business metric changed or missed expectations. Checks definitions and data sources, measures the change, and breaks it down by relevant groups, separating verified findings from likely explanations and unresolved questions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate changes in sales or usage rates
• Locate affected groups during a sudden spike or decline
• Reconcile differences between dashboards

Extract YouTube transcripts and analyze messaging, structure, intended viewers, emotional appeal, credibility, and calls to action—requests for viewers to act. Analyze one video or compare several keyword-selected videos to identify recurring strategies and content gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare competitors' video content strategies
• Research intended viewers and their problems
• Identify topics competitors have not covered

Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refreshing ad copy when existing creatives lose effectiveness
• Starting an ad copy brainstorming session
• Testing messaging angles for a new audience

Choose methods for causal research in applied microeconomics by examining how treatment varies. Compare assumptions, plan diagnostic checks, assess statistical power—the ability to detect effects—and organize a defensible empirical strategy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a causal method for the available data and setting
• Check assumptions and diagnostics for an empirical strategy
• Plan sample size and the smallest detectable effect

Edit drafts to remove predictable AI writing habits, including filler phrases, formulaic contrasts, vague claims, and repetitive sentence rhythms. Use concrete wording and active voice, then assess the prose across five review criteria.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Editing AI-generated drafts
• Removing filler and formulaic phrasing
• Reviewing sentence rhythm and clarity

Analyze public ads from Meta/Facebook, Google, and LinkedIn to understand competitor messaging and offers. Extract hooks, headlines, and calls to action, then suggest advertising tests grounded in recurring patterns and gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research competitors’ active ads
• Compare messaging and offers across brands
• Extract hooks and key messages from video ads

Compare how one topic should be presented across social platforms, considering audience expectations, tone, content formats, distribution, and monetization. Get platform recommendations and guidance on adapting titles, structure, and presentation for each recommended platform.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing the main platform for a content topic
• Comparing audience expectations across platforms
• Planning how to adapt existing content

Plan social media carousel posts, where readers swipe through several images. Get cover text, page-by-page copy and visual direction, a caption, calls to action, and a scored review of the proposed structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a multi-image educational post
• Drafting cover text and page-by-page copy
• Designing prompts to save, share, or comment

Guided journey from a business with lucky months to a repeatable growth engine that produces a forecast. Orchestrates nine skills phase by phase - one-page-marketing, hundred-million-offers, predictable-revenue, contagious, influence-psychology, crossing-the-chasm, cold-start-problem, lean-analytics, negotiation - asking the user questions at every decision point and recording results in the project docs/ folder (MARKETING.md, OFFER.md, METRICS.md, GROW-BUSINESS-PLAN.md) so the journey resumes across sessions. Use when the user wants to build a marketing and sales system, manufacture predictable pipeline, engineer word-of-mouth and referrals, or says 'revenue is real but lumpy and I need growth that repeats'. If the offer, retention, or operations underneath are broken, run improve-business first; with no paying customers yet, start with create-business; when the product itself must carry the growth loops, use grow-app. For one framework in isolation, invoke that skill directly.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cultural adaptation for translated content. Run AFTER blog-translate completes. Adjusts brand examples, CTAs, legal references, and formality for the target market (German, French, Japanese, Spanish, etc.). Deep cultural adaptation of translated blog posts. Goes beyond translation to swap brand examples, adapt CTAs, substitute legal references, localize statistic sources where possible, and adjust formality (Sie/du, tu/vous, formal/informal). Built-in profiles for DACH, Francophone, Hispanic, and Japanese markets, plus a custom-locale template. Makes content feel locally authored, not translated. Use when user says "localize blog", "blog localize", "cultural adaptation", "adapt for Germany", "adapt for France", "lokalisieren", "localiser", "adaptar".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert physician verbal dictation into structured SOAP notes. Trigger.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compute statistical power, required sample size, and minimum detectable effect (MDE) for a study design, then write a registry-ready power section. Handles two-arm RCTs (with clustering / ICC and unequal allocation), multiple-arm corrections, and a simulation-based power option for non-standard designs (DiD/event-study, IV, panel). Use when user says "power analysis", "power calculation", "MDE", "minimum detectable effect", "how big a sample do I need", "is my study powered", "power for an RCT", or when /preregister needs a power section for an experiment. Produces a power/MDE table, power curves, and a methods paragraph to paste into a preregistration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.