This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
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Library of 139+ proven marketing strategies organized by category, stage, budget, and timeline across content, SEO, paid, social, email, and growth. Use when brainstorming marketing ideas, planning growth strategies, or ideating campaigns.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
139+ proven marketing strategies with implementation guidance matched to stage, budget, and goals. This file is a lean map — browse the full tactic catalog and frameworks in the references below.
What most shapes this skill's output is the team's situation, because the catalog is filtered by stage, budget, goal and timeline. Settle the inputs below before producing anything. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
references/idea-catalog.md and idea_scorer.py --stage --budget filter on these. A pre-launch team with no budget and a scaling team with paid spend share very few ideas.If a marketing context document exists (the one the marketing-context skill builds), start from it and ask only about the gaps. Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
references/idea-catalog.md to find 3-5 matching ideasreferences/ideation-and-trends.md) to generate 15-20 raw ideasLoad the reference that matches the task — keep this file lean and pull detail on demand:
marketing ideas, growth ideas, marketing strategies, marketing tactics, campaign ideation, creative brainstorming, trend analysis, growth marketing, content marketing ideas, social media ideas, email marketing ideas, paid advertising ideas, partnership marketing, product-led growth, unconventional marketing, guerrilla marketing, viral marketing, community marketing, developer marketing
| Script | Purpose | Usage |
|---|---|---|
scripts/idea_scorer.py | Score and prioritize marketing ideas by impact, effort, and alignment | python scripts/idea_scorer.py ideas.json --stage growth --budget medium --goal leads |
scripts/campaign_brief_generator.py | Generate structured campaign briefs from parameters | python scripts/campaign_brief_generator.py config.json --demo |
scripts/trend_evaluator.py | Evaluate marketing trends for relevance, risk, and actionability | python scripts/trend_evaluator.py trends.json --demo |
In Scope: 139+ marketing ideas organized by category/stage/budget/timeline, campaign ideation frameworks, idea scoring and prioritization, campaign brief generation, trend identification and evaluation, quick win identification, PLG strategy ideas.
Out of Scope: Detailed implementation for each idea (see channel-specific skills), budget allocation optimization (see marketing-analyst skill), execution tracking and analytics (see campaign-analytics skill), content creation (see content-creator skill).
Limitations: This skill provides strategy and ideas, not execution. Each idea requires a channel-specific skill for full implementation. Impact estimates (High/Medium/Low) are directional based on benchmarks; actual results depend on execution quality, market fit, and timing. Trend evaluation is subjective and should be combined with data analysis.
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
中文简介正在准备中。当前显示原文说明。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
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Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
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Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
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Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
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Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
中文简介正在准备中。当前显示原文说明。