research-workflow / skill
Hyperresearch
Capability: Hyperresearch
Use it when
- You need a deep research report with verified citations and full source provenance, not a one-shot LLM summary that may hallucinate quotes
- Your research sessions start from zero every time and you want every fetched source kept in a searchable local vault that later sessions reuse before fetching anything new
What it solves
Not the fit when
- general-purpose web scraping or data extraction pipelines
- automatically solving CAPTCHAs, 2FA, or logging into paywalled sites (escalated to the human by design)
- environments without Claude Code; it runs on Anthropic models via Claude Code subagents
- bot-detection-challenge
Install
pip install hyperresearch && hyperresearch install (Python 3.11-3.13; requires Claude Code)
Invoke
Run /hyperresearch <research question> inside Claude Code; manage the vault and runs with the hyperresearch CLI (search, note show, run status, run resume)
Alternatives
No reviewed alternatives recorded yet.