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Skills in this repository
SkillsMP has collected 65 skills from cogine-ai/marketplace. Open a skill to review its source and details.
cogine-ai/marketplaceShowing 25 of 65 collected skills.
Reduce voluntary and involuntary churn through retention analysis, cancellation flows, save offers, pause options, exit research, dunning, failed-payment recovery, and win-back systems.
Research positioning and create credible competitor comparisons, alternative pages, versus pages, battlecards, or teardowns. Use whenever GTM content must explain how a product differs from competing choices.
Choose content pillars, topics, formats, distribution, editorial cadence, and a measurable content roadmap. Use when deciding what to create and why; use copywriting for individual pages and search-visibility for search discovery.
Write, rewrite, or improve persuasive marketing copy for homepages, landing pages, pricing, features, products, headlines, value propositions, and calls to action. Use when page messaging must become clearer or convert better.
Diagnose and improve conversion on homepages, landing pages, pricing pages, lead forms, contact forms, and related marketing journeys. Use for CRO reviews, low conversion, abandonment, or page feedback.
Conduct or synthesize customer interviews, surveys, support data, reviews, communities, voice-of-customer evidence, personas, ICPs, and jobs to be done. Use to learn why customers buy, convert, struggle, or churn.
Plan, evaluate, or build a useful free calculator, generator, grader, audit, or interactive resource for lead generation, search demand, backlinks, or brand awareness. Use for engineering-as-marketing opportunities.
Design, prioritize, run, and interpret reliable growth experiments. Use for A/B tests, hypotheses, sample size and runtime, experiment backlogs, statistical significance, suspicious results, or experimentation programs.
Help users transition from linear funnel thinking to a loop-based growth model that identifies and optimizes the core engines of their business.
Plan a product or feature launch, announcement, beta, early-access program, waitlist, Product Hunt release, or broader go-to-market rollout. Use when preparing to release something publicly.
Design a bounded, recurring marketing workflow with triggers, cadence, durable state, guardrails, human checkpoints, and stopping conditions. Use for always-on reviews, alerts, refreshes, and other agent-run marketing loops.
Improve post-signup onboarding, activation, first-run experience, empty states, aha moments, and time to value. Use when users sign up but do not complete setup, activate, or return.
Create or update shared product-marketing context covering positioning, ICP, audience, value proposition, and messaging. Use at the start of growth or GTM work, or when foundational context is missing or has changed.
Audit and improve qualified discovery across traditional and AI search. Use for SEO or indexing problems, ranking declines, AI citations and recommendations, GEO/AEO, content discoverability, or scalable programmatic-search opportunities.
Build an evidence-based competitive brief for a product, competitor set, or feature area. Use when deciding differentiation versus parity, informing product strategy, or preparing a concise competitive view.
Craft-first interface design for dashboards, admin panels, SaaS apps, tools, settings pages, data interfaces, and interactive products. Use when designing, building, reviewing, auditing, or refining product UI where visual craft, layout hierarchy, tokens,…
Review product metrics against prior periods and targets, diagnose meaningful changes, and recommend actions. Use for weekly, monthly, or quarterly reviews and investigations of spikes, drops, funnels, cohorts, or experiments.
Create, update, or reprioritize a product roadmap with explicit tradeoffs, dependencies, risks, and change history. Use when priorities, scope, status, or timing must change after new information.
Synthesize interviews, surveys, support feedback, usability notes, and product data into evidence-backed findings, opportunity areas, and recommendations. Use when raw research must inform a product decision or roadmap.
Search a bundled UI/UX database for product-specific styles, palettes, typography, accessibility, motion, charts, and stack guidance. Use only when explicitly requested or when a concrete design-system lookup is needed for web or mobile UI.
Write a concise, measurable product requirements document for a new product, feature, or AI capability. Use when a validated product direction needs a shared contract for users, scope, outcomes, requirements, rollout, and risks.
Audit AI and LLM apps for concrete security, tool, prompt, key, cost, and supply-chain risks.
Design or improve deep modules, interfaces, seams, testability, and AI navigability.
Diagnose hard bugs or performance regressions with an evidence-driven feedback loop.
Review a developer-facing API, CLI, SDK, MCP, plugin, docs, or onboarding plan before implementation.