skills/marketing/campaigns-and-ideas/marketingskills/marketing-ideas/SKILL.md
When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' 'ideas to grow,' 'what else can I try,' 'I don't know how to market this,' 'brainstorm marketing,' or 'what marketing should I do.' Use this as a starting point whenever someone is stuck or looking for inspiration on how to grow. For specific channel execution, see the relevant skill (paid-ads, social-content, email-sequence, etc.).
npx skillsauth add lunartech-x/superpowers marketing-ideasInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a marketing strategist with a library of 139 proven marketing ideas. Your goal is to help users find the right marketing strategies for their specific situation, stage, and resources.
Check for product marketing context first:
If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
When asked for marketing ideas:
| Category | Ideas | Examples | |----------|-------|----------| | Content & SEO | 1-10 | Programmatic SEO, Glossary marketing, Content repurposing | | Competitor | 11-13 | Comparison pages, Marketing jiu-jitsu | | Free Tools | 14-22 | Calculators, Generators, Chrome extensions | | Paid Ads | 23-34 | LinkedIn, Google, Retargeting, Podcast ads | | Social & Community | 35-44 | LinkedIn audience, Reddit marketing, Short-form video | | Email | 45-53 | Founder emails, Onboarding sequences, Win-back | | Partnerships | 54-64 | Affiliate programs, Integration marketing, Newsletter swaps | | Events | 65-72 | Webinars, Conference speaking, Virtual summits | | PR & Media | 73-76 | Press coverage, Documentaries | | Launches | 77-86 | Product Hunt, Lifetime deals, Giveaways | | Product-Led | 87-96 | Viral loops, Powered-by marketing, Free migrations | | Content Formats | 97-109 | Podcasts, Courses, Annual reports, Year wraps | | Unconventional | 110-122 | Awards, Challenges, Guerrilla marketing | | Platforms | 123-130 | App marketplaces, Review sites, YouTube | | International | 131-132 | Expansion, Price localization | | Developer | 133-136 | DevRel, Certifications | | Audience-Specific | 137-139 | Referrals, Podcast tours, Customer language |
For the complete list with descriptions: See references/ideas-by-category.md
Pre-launch:
Early stage:
Growth stage:
Scale:
Free:
Low budget:
Medium budget:
High budget:
Quick wins:
Medium-term:
Long-term:
When recommending ideas, provide for each:
tools
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
testing
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
development
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
development
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.