By butanium
Orchestrate autonomous Claude-based research agents to investigate hypotheses, spawn experiment runners that execute Python scripts and analyze outputs with LLM judges, generate interactive Quarto HTML reports, send supervisor notifications, perform fresh-eyes reviews, and run batch evaluations.
npx claudepluginhub butanium/claude-lab --plugin clabFresh-eyes review with limited context. Only reads files specified in ALLOWED_FILES directive.
Interactive research mode. Collaborate with the user to investigate questions, maintain hypotheses, and spawn scientists.
Autonomous research mode. Investigates questions, maintains hypotheses, spawns scientists and colleagues.
Fresh-eyes review with limited context. Only reads files specified in ALLOWED_FILES directive.
Run specific experiments and document results. Spawned by the research orchestrator.
Test agent to verify hooks fire
How to send notifications to the human supervisor via ntfy.sh. Use when you need input, hit a blocker, or update them on your progress.
Cost and latency optimization for Anthropic API usage. Covers prompt caching, batch API, and when to combine them.
Standard experiment folder structure and templates. Reference for creating or validating experiment folders.
How to evaluate research samples using structured JSON output from claude -p. Covers criteria writing, the core judging pattern, and practical examples.
Core research principles for hypothesis-driven investigation. Shared across orchestrator, scientists, and colleagues.
How to write a comprehensive research report for your supervisor summarizing experiment findings, hypothesis tests, and data exploration. Use when you need to communicate results from multiple experiments with proper analysis, visualizations, and interactive data exploration.
Write up research experiments and findings as an interactive Quarto report with figures and data exploration. Use when creating a research report from experiment results.
Synapse research orchestration plugin for Claude Code. Connects AI agents to Synapse for experiment execution, literature search, progress reporting, and autonomous research loops.
Scientific research agent extension - turns research goals into reproducible Jupyter notebooks with Python REPL, data analysis, and ML workflows
Autonomous, personalized research loops for Claude Code. Set a topic, walk away, come back to a quality-gated report adapted to your projects.
Oh My Paper research harness: memory system, Codex delegation, and pipeline commands for academic research projects.
Guardrails your research workflow — checks hypotheses, catches known bugs, flags sloppy methodology.
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
PhD-level research capabilities: literature review, multi-source investigation, critical analysis, hypothesis-driven exploration, quantitative/qualitative methods, and lateral thinking
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