Research skills

Researches what people have said about a topic in the last 30 days across Reddit, X, YouTube, TikTok, Hacker News and the web.

Operates Google's NotebookLM (the skill calls it Gemini Notebook) through the notebooklm-py CLI: manage notebooks and sources, ask grounded questions and generate artifacts.

Investigates a question against primary sources and saves the findings as a Markdown file in the repo.

Conducts and synthesises customer research: interviews, transcripts, surveys and support data.

Searches OpenAlex, PubMed and Google Scholar for papers, validates citations and generates BibTeX entries.

Designs experiments and studies before data collection: choice of design, randomisation, blocking and treatment layout.

Turns observations into testable scientific hypotheses with rival explanations, predictions and an analysis plan.

Conducts systematic literature reviews across PubMed, arXiv, bioRxiv, Semantic Scholar and other academic databases.

Builds market research reports with traceable evidence, competitive landscapes and TAM, SAM and SOM sizing.

Prepares constructive peer-review drafts and structured assessments of scientific manuscripts and proposals.

Gathers current scholarly evidence, references and competing findings for a manuscript or research brief.

Evaluates scientific claims and evidence quality: experimental validity, biases, confounders and evidence grading.

Researches across Notion pages and synthesises the findings into briefs, comparisons or reports with citations.

Publishes and manages research papers on the Hugging Face Hub and links them to models and datasets.

Reads Hugging Face paper pages as markdown and fetches structured metadata such as authors and linked models.

Runs deep research with Exa for questions where a single search is not enough, such as lead lists, literature reviews and competitive analysis.

Searches the web and researches general questions with Perplexity AI.

Searches Confluence, Jira and internal docs to find and explain internal systems, processes and terminology.

Finds web sources with Firecrawl, returning page excerpts relevant to the query and optionally the full page content.

Handles any live-web task through the Firecrawl CLI: search, page extraction, site mapping, bulk crawls and change alerts.

Sets up, authenticates and troubleshoots the Tavily CLI, and helps choose between its web commands.

Runs Tavily searches programmatically and filters large results before they enter the model's context.

Conducts in-depth research with citations through the Tavily CLI, for reports, comparisons and market analysis.

Searches the web through the Tavily CLI and returns results optimised for LLMs.