jordan-gibbs

Hyperresearch — Documentation skill for Claude Code

Documentation community

Agent-driven research knowledge base.

How to install Hyperresearch

This entry records only its repository, not the path inside it, so there is no exact command to give. Open jordan-gibbs/hyperresearch and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Hyperresearch does

Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.

Alternatives in Documentation

Notion Knowledge Capture — Convert conversations into structured, searchable Notion wiki entries 14.6k ★
Wiki Explore — Research and expand a wiki topic 411 ★
Doc Fix — Document a recently solved problem for the knowledge base 209 ★

README

The Most Powerful Deep Research Harness

**Hyperresearch turns Claude Code into a deep research agent: one that currently leads the DeepResearch-Bench RACE leaderboard (benchmarked internally).** A tier-adaptive 16-step pipeline takes one prompt and produces an adversarially-audited report with full source provenance. Every source it reads lands in a persistent, searchable vault, so each session starts smarter than the last.

DeepResearch-Bench top-5 hyperresearch leads the chart ahead of Grep Deep Research, Cellcog Max, nvidia-aiq, Gemini Deep Research, and OpenAI Deep Research

Forward-looking projection from a stratified pilot against the DeepResearch-Bench leaderboard snapshot (https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard). Third party validation is pending.

Why it wins

250+ sources in a single run. The premier scale profile targets 100–130 in the width sweep alone; citation chasing and gap-fill fetches more than double what actually lands in the corpus.
Every citation is verified before the report ships. A skeptical cite-checker audits whether each cited source actually supports its sentence. Hallucinated quotes and unac