Create, edit, and analyze Excel spreadsheets with formulas, formatting, and error-free calculations. Supports reading, creating, and modifying .xlsx, .xlsm, .csv, and .tsv files using pandas for data analysis and openpyxl for formulas and formatting Automatically recalculates all formulas and scans for Excel errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?) using LibreOffice integration Enforces industry-standard color coding and number formatting for financial models (blue for inputs, black for formulas, green for internal links, red for external links) Includes comprehensive documentation requirements for hardcoded values and assumption-based formula construction to maintain dynamic, updateable spreadsheets
Professional product photography generation across 10 specialized modes via GPT Image 2. Supports 10 modes covering studio shots, lifestyle scenes, closeups with people, Pinterest pins, hero banners, social carousels, ad packs, virtual try-ons, conceptual/surreal products, and image restyling Backend prompt enhancer automatically assembles mode-specific photography vocabulary and structural templates; never requires manual prompt writing Accepts product photos or existing images as references; generates 1–10 coordinated variants with locked visual consistency across multi-slide modes Pre-generation interview asks 3–4 labeled questions to clarify intent, skipping obvious answers; delivers results as clean image URLs only
Generate marketplace-ready product image cards with compliance and A+ content modules. Supports four preset scopes: main image only, main plus 5 secondary images, main plus 7 A+ modules, or full bundle with all three Accepts custom asset combinations via repeated --asset flags for fine-grained control over image types (infographics, lifestyle shots, detail views, A+ content modules) Routes user intent to a backend enhancer that owns marketplace rules and prompt templates, then generates jobs and returns image URLs Requires Higgsfield CLI installation and authentication; ask user to run higgsfield auth login if authentication fails
Reduce voluntary and involuntary churn through cancel flows, dynamic save offers, and payment recovery. Design exit surveys and targeted save offers (discounts, pauses, downgrades) matched to cancellation reasons, typically recovering 25-35% of at-risk customers Implement proactive retention by tracking health signals (login frequency, feature usage, support sentiment) and intervening before customers reach the cancel page Set up dunning sequences with smart payment retries, escalating emails, and grace periods to recover 50-60% of failed payments Integrates with Stripe, Chargebee, Paddle, and retention platforms like Churnkey and ProsperStack for end-to-end churn prevention
Install the lark-base skill for your AI agent. Published on open.feishu.cn.
Install the lark-sheets skill for your AI agent. Published on open.feishu.cn.
Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and…
Audit a landing page, sales page or checkout page for conversion leaks and return a fix list ordered by expected revenue impact. Use when asked to review,…
Turn an offer into a concrete multi-step sales funnel spec - page-by-page structure, price ladder, copy outline and the metrics each step must hit. Use when…
Design and implement one-click post-purchase upsells and downsells that raise average order value without hurting the main conversion rate. Use when asked to…
Choose a landing page or sales funnel platform by working out the real total cost and lock-in for a specific case - comparing ClickFunnels, CartFlows,…
Deploy a self-hosted funnel builder, take a funnel from empty install to published - landing page, checkout, one-click upsell, thank-you - and drive it from an…
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,'…
Cross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory…
Expert guidance for designing SaaS pricing that captures value and aligns with customer willingness to pay. Covers three core pricing axes: packaging (tier features), pricing metric (what you charge for), and price points, with frameworks for value-based pricing between alternatives and perceived value Includes common value metrics (per user, per usage, flat fee, per transaction) with guidance on choosing metrics that scale with customer value Provides tier structure templates, pricing research methods (Van Westendorp, MaxDiff), and signals for when to raise prices Offers pricing page best practices, psychology principles (anchoring, charm pricing), and a pre-launch checklist
When the user wants to plan, build, or optimize SMS, MMS, or WhatsApp marketing — including welcome flows, abandoned cart texts, post-purchase, win-back,…
Design and optimize customer referral and affiliate programs to turn users into growth engines. Covers both customer referral programs (existing users recommending to networks) and affiliate programs (ongoing commission relationships with creators and partners) Provides step-by-step referral loop design: trigger moments, share mechanisms, incentive structures (single-sided, double-sided, tiered), and conversion optimization Includes A/B testing frameworks, fraud prevention, and measurement metrics (referral rate, conversion rate, CAC comparison, LTV impact) Offers email sequence templates, launch checklists, and integration guidance for tools like Rewardful, Mention Me, and Dub.co
When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design,…
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