Research

Persistent file-based planning for multi-step AI-agent work.

Persistent file-based planning for multi-step AI-agent work.

Persistent file-based planning for multi-step AI-agent work.

Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic.

Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents.

Write structured long-form blog posts with research, SEO optimization, and cover image generation.

Look up research on longevity, diet, exercise, sleep and everyday habits in the HowToLiveLonger JSON dataset.

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.

Search, read, and query research papers via Feynman's alphaXiv-backed alpha tools.

Execute research code inside isolated Docker containers for safe replication, experiments, and benchmarks.

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways.

Bounded research experiment loop that tries hypotheses, measures benchmark evidence, keeps what works, and records what fails.

Run a thorough, source-heavy investigation on any topic.

Run a literature review using paper search and primary-source synthesis.

Compare a paper's claims against its public codebase.

Turn research findings into a polished paper-style draft with sections, equations, and citations.

Read, extract, and cross-check content across scientific PDFs.

Render Markdown or LaTeX research artifacts to HTML or PDF with pandoc.

Plan a replication of a paper, claim, or benchmark, and execute only after an explicit environment choice.

Run a tough but constructive internal research critique of an AI research artifact.

Write a durable session log capturing completed work, findings, open questions, and next steps.

Search prior Feynman session transcripts on disk.

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation…

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies.