By quantumbfs
Brainstorm scientific research ideas with an AI partner that analyzes Claude conversation history across academic dimensions, indexes Zotero/PDF/Google Scholar papers into BibTeX registries, surveys literature via parallel web searches, onboards expert advisors from dialogs, and generates structured reports with references in Markdown/Typst/LaTeX.
npx claudepluginhub quantumbfs/sci-brain --plugin sci-brainUse when analyzing conversation patterns — extracts dialog from Claude Code or Codex CLI history, classifies each user message across 6 academic dimensions (Bloom's cognitive level, Graesser question depth, Paul & Elder reasoning probe, Walton presupposition quality, Long & Sato discourse function, Graesser generation mechanism), and outputs tagged dialog reports
Use when brainstorming research ideas — a research collaborator that understands your background, helps find interesting problems together, and shares relevant resources along the way
Import .md dialog files (Claude.ai exports, custom markdown conversations) to create or update advisor profiles. Use when the user wants to import a conversation file, update an advisor with new dialog data, or add .md chat history to the advisor library. Invoked with /import-dialog.
Use when onboarding a contributor as an advisor — guides them through providing their background and conversation history, runs conversation-dump and soul-extraction, then synthesizes a named advisor profile for the ideas skill's advisor library
Use when the user wants to save a Q&A exchange as a shareable quick note — captures the last substantive question and answer, saves to file, and copies to clipboard
Use when indexing a personal paper collection into a survey registry — supports Zotero library, a PDF folder, or a Google Scholar profile
Use when extracting conversation patterns and logic jumps from tagged dialog reports — reads /conversation-dump output, clusters trigger→reaction pairs into thinking-pattern.md, detects logic jumps with user confirmation for master-thinking.md
Use when surveying a research topic — launches parallel exploration strategies via web search, lets user pick interesting directions, then builds a focused survey registry with BibTeX
Use when writing the final ideas report after the user picks a research direction — produces a structured document with the chosen direction and BibTeX references
An AI-powered research brainstorming partner. Tell it a research topic — it helps you find good problems, think them through, and shape concrete research ideas together with you.
Works with Claude Code, Codex, and OpenCode. Skill question styles inspired by superpowers.
Open Claude Code/Codex/OpenCode and type:
Install the plugin/skills from https://github.com/QuantumBFS/sci-brain
Then invoke `ideas` skill to start talking.
/ideas skill do?You start a conversation. The agent asks about your background — you can describe yourself, or point it at your Zotero library or Google Scholar profile so it can learn from your papers directly. The better the agent understands you, the higher quality its recommendations are.
Then you pick a domain expert (distilled from real scientists's conversation with AI, see list) to assist you. Their profile will be loaded to a subagent, to assist you "ask the right question".
/ideas searches the web as you talk, but if you want a thorough literature map before brainstorming, run /survey first. It searches in parallel across seven strategies — landscape mapping, adjacent fields, cross-vocabulary, cross-method, historical lineage, negative results, and benchmarks — and builds a registry with verified BibTeX.
When you run /ideas afterward, it automatically picks up the survey results and uses them to ground the conversation.
/survey ← build a literature map
/ideas ← brainstorm with that literature loaded
~/.claude/survey/<topic>/ — persist across sessions, automatically loaded by /ideasdocs/discussion/ — each session is a timestamped file; the next session picks up where you left offdocs/discussion/notes/ — individual Q&A snapshots from /quicknotearticles/ in your current directory, with a matching .bib fileIf you've used Claude Code or Codex for research conversations and want your thinking style captured as a reusable advisor profile, just run:
clone https://github.com/QuantumBFS/sci-brain,
invoke incarnate skill in the cloned repo to create my profile,
then submit a pr,
include all relevant chat history, interview output and the generated profile.
The whole process is interactive — you review everything before it's published, and you can decide to include the raw conversation data (for research purposes) in the pr or not.
Initiator: Lei Wang and Jin-Guo Liu
MIT. Feel free to adapt from the current codebase, BUT please acknowledge this package properly, thank you.
Share bugs, ideas, or general feedback.
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