From kostja94-marketing-skills-5
Guides selection of information sources for content ideation, competitor monitoring, and industry tracking using categorized strategies and examples.
npx claudepluginhub joshuarweaver/cascade-data-analytics --plugin kostja94-marketing-skills-5This skill uses the workspace's default tool permissions.
Guides selecting and organizing information sources for marketing research: content ideation, competitor monitoring, and industry tracking. Use this skill when planning where to gather signals for content, competitive intelligence, or market trends.
Conducts multi-round deep research on GitHub repos via API and web searches, generating markdown reports with executive summaries, timelines, metrics, and Mermaid diagrams.
Dynamically discovers and combines enabled skills into cohesive, unexpected delightful experiences like interactive HTML or themed artifacts. Activates on 'surprise me', inspiration, or boredom cues.
Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
Guides selecting and organizing information sources for marketing research: content ideation, competitor monitoring, and industry tracking. Use this skill when planning where to gather signals for content, competitive intelligence, or market trends.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
| Use case | Purpose |
|---|---|
| Content ideation | Topic ideas, trends, gaps for blog, newsletter, social |
| Competitor monitoring | Product updates, positioning, pricing, reviews |
| Industry tracking | Market shifts, funding, layoffs, regulatory changes |
| Category | Format | Use |
|---|---|---|
| News | Real-time, daily | Breaking news, announcements |
| Blogs | Company, analyst | Deep dives, product updates |
| Newsletters | Curated, weekly/daily | Trends, summaries; low effort |
| Events | Conferences, webinars | Industry pulse, networking |
| Data | Layoffs, market cap, funding | Quantitative signals |
| Community | Forums, Q&A | Real questions, pain points |
| Archives | Wayback, Internet Archive | Historical content, competitor changes |
Selection criteria: Authority, freshness, coverage, language/locale. Prefer 10–15 high-quality sources over 50+ low-signal ones.
| Category | Examples |
|---|---|
| News | TechCrunch, VentureBeat, MIT Technology Review |
| Blogs | Google AI Blog, OpenAI Blog, company blogs |
| Newsletters | TLDR AI, Ben's Bites, The Batch (DeepLearning.AI) |
| Data | Layoffs.fyi, Crunchbase, Companies Market Cap |
| Archives | Internet Archive, Wayback Machine |
| Community | Reddit, Quora, Stack Overflow; regional (e.g. Qiita for Japan) |
Note: Add locale-specific sources via localization-strategy; avoid long URL lists.
| Use case | Source types |
|---|---|
| Content ideation | News, blogs, newsletters, community (Reddit, Quora, Stack Overflow) |
| Competitor monitoring | Competitor blogs, review sites, social, funding databases |
| Industry tracking | News, newsletters, events, layoff/funding data |
Avoid: Long URL lists that go stale. Use category framework + a few examples; update periodically.
| Skill | How research sources feed in |
|---|---|
| keyword-research | Newsletters, community for long-tail and question keywords |
| competitor-research | Competitor blogs, review platforms, funding data |
| content-marketing | News, blogs for topic ideas; events for timely content |
| content-strategy | Industry trends for pillar/cluster planning |