zykooooooooo/SeekMoney-ai
๐ Discover user pain points on social media with AI-driven clustering and analysis for targeted business opportunities and product ideas.
๐ Discover user pain points on social media with AI-driven clustering and analysis for targeted business opportunities and product ideas.
npx skills add zykooooooooo/SeekMoney-ai๐ Discover user pain points on social media with AI-driven clustering and analysis for targeted business opportunities and product ideas.
Solid State Skills Directory and Marketplace
๐ง Enhance AI coding assistants with portable skills, ensuring compatibility with Claude Code, GitHub Copilot, and more for seamless development.
Automate Lemlist multichannel outreach -- manage campaigns, enroll leads, add personalization variables, export campaign data, and handle unsubscribes via the Composio MCP integration.
Paper reader for non-academics. Reads a paper and tells it back as one continuous story โ the life of the paper's core proposition (ๅฝ้ข), told on a seven-beat spine (ไธป่ง / ๅฐๅข / ๆง่ทฏ / ่ฝฌๆ / ่งฃๆณ / ็ปๅฑ / ๅ ๆ ธ): born in a bind on a base-rate ruler, crystallized as a bold conjecture, argued through mechanism and evidence, distilled into a new way of seeing, then walked out of the paper โ life-tested and cashed into falsifiable predictions (ๆฃ้ช). Output opens with a scannable ้่ฏป card (ไธๅฅ่ฏ / ๅคงๆณๆณ / ๅช่ฎฐไธไปถไบ) that compresses the whole story three ways for the time-poor reader and the six-months-later self, then tells the full story. The job is storytelling that makes the paper land, not academic critique. Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Trigger words: '่ฏป่ฎบๆ', '่ฎฒ่ฎบๆ', 'ๆ่ฟ็ฏ่ฎฒ็ปๆๅฌ', 'ๅๆ่ฎบๆ', 'paper', or when user shares an academic paper.
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Documentation analysis โ assess coverage, detect code-to-doc drift with plan reconcile, visualize dependencies with doc graph. Answers "what needs docs?" and "are docs still accurate?"