user-research
User research and insight synthesis for product teams. Plan studies, analyze interviews and usability tests, and generate evidence-based, prioritized design recommendations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
129 skills found
User research and insight synthesis for product teams. Plan studies, analyze interviews and usability tests, and generate evidence-based, prioritized design recommendations.
Enforce epistemic quality in RAG systems with pre-ingestion verification. Ensures documents are properly qualified and structured before knowledge base entry.
Automated academic literature retrieval, structured summarization, and multi-channel scheduling workflow for research topics.
Access Y Combinator’s library of 443+ startup resources for expert advice on fundraising, co-founders, product development, growth, and scaling your business.
Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Reverse-engineering specialist for codebase analysis, dependency mapping, and specification extraction from legacy or undocumented systems.
Generate professional equity research snapshots using consensus estimates, company fundamentals, historical pricing, and macroeconomic indicators to build investment theses.
A Notion-based tracking system for tweet performance to enable data-driven content experimentation using reinforcement learning principles.
Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.
Automated retrieval of PubMed scientific literature and generation of plain-language biomedical research summaries.
Frame core customer problems, supporting evidence, and success hypotheses to ensure discovery work is grounded in data before solutioning begins.