Browse skills

Analyzes user feedback & website data to identify UX pain points and suggest actionable design improvements.

Optimize Evernote note organization, searchability, and performance using advanced AI techniques from jeremylongshore.

Access and query Ensembl genome data (gene annotations, variants, expression) for biological research insights.

Searches and analyzes US patent records within the USPTO database for relevant prior art and invention status.

Together Embeddings generates high-quality vector representations of text data for semantic search and AI applications, boosting performance & understanding.

Official docker skill for Docker — helps with software development workflows.

Access and query a comprehensive BioRxiv preprint database for relevant biomedical research findings.

Access and query protein structure data from the Protein Data Bank (PDB) for research and analysis.

Helps with MongoDB, search as part of working with databases and data persistence workflows.

This skill generates CLIP-aware embeddings for images and text, enabling powerful semantic search and similarity matching across diverse content.

Provides search guidance and assistance for software development workflows.

This skill analyzes text to assess its scholarly quality – helpful for verifying research and identifying credible sources.

Access and query microck's curated metabolomics data, workflows, and tools for streamlined microbial research analysis.

Access Artivilla's extensive art market data—artists, sales, provenance, exhibitions—for informed research and analysis.

This Lead Research Assistant helps marketers quickly gather and synthesize data for targeted campaigns, boosting efficiency & decision-making.

This Research Assistant swiftly gathers information on any topic, boosting productivity by providing quick summaries and relevant data.

Efficiently gathers relevant web data based on complex queries, summarizing findings and providing source links.

Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure — works offline.

Deep multi-source analysis of GitHub projects. Covers architecture, community health, competitive landscape, and cross-platform knowledge. Outputs structured research reports.

Semantic memory search using Qdrant + Ollama embeddings (QRAS). Use as primary method for recalling workspace files, notes, decisions, and prior work before falling back to built-in search.

Search and analyze your own session logs (older/parent conversations) using jq.

All-in-one MCP server combining Google Search Console, Google Analytics 4, and Bing Webmaster Tools. Built-in SEO intelligence: opportunity matrix, cannibalization detection, anomaly alerts. Zero-config multi-account.

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization.

Rag Architect constructs well-structured documents from retrieved knowledge, streamlining information synthesis and boosting research efficiency.