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By pipemind-com
Domain-agnostic scientific method research loop: collaboratively refine problems, then autonomously generate and test hypotheses until solved.
npx claudepluginhub pipemind-com/pipemind-marketplace --plugin scientific-methodDeepen a hypothesis with targeted literature research. Use whenever a hypothesis file needs supporting evidence, counterexamples, or a sharpened claim — including after generating-hypotheses or when a user asks to refine, strengthen, or research a specific hypothesis.
Refine a problem statement into a research-ready formulation. Creates problem.md through autonomous self-refinement backed by literature research.
Search for relevant academic and technical sources on a topic, build a structured bibliography in references.md, and download available articles. Use this skill whenever the user wants to find papers, survey existing research, build a reading list, gather citations, do a literature review, or explore what's been published on a topic -- even if they don't say 'literature review' explicitly.
Run a full scientific method research loop: refine problem, generate hypotheses, research literature, experiment, conclude, and iterate until solved. Use this skill whenever someone wants to investigate a question, debug a mysterious issue, explore a hypothesis, do a literature review, or solve any open-ended problem methodically — even if they don't say 'research' explicitly.
Execute experiments from a hypothesis file — run code, work through proofs, gather evidence, analyze data, and write results back. Use this skill whenever a hypothesis file has designed experiments with empty Results sections, when the user says 'run the experiments', 'test the hypothesis', 'try it', or 'execute the experiments', or when the next step in a scientific-method workflow is to actually attempt the experiments.
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Use when debugging, investigating root causes, designing experiments, or performing scientific analysis — enforces hypothesis-driven reasoning, evidence-first observation, causality validation, and structured output templates. Use when facing unknowns, repeated failures, or complex investigations requiring rigorous methodology.
Autonomous, personalized research loops for Claude Code. Set a topic, walk away, come back to a quality-gated report adapted to your projects.
Autonomous research loops with 10 commands. Generalizes Karpathy's autoresearch loop to any domain with mechanical evaluation, overnight persistence, and zero dependencies.
Structured AI-enabled research workflows for software development: Research, Plan, Experiment, Implement
Autonomous research orchestration: agents for hypothesis-driven investigation, experiment running, fresh-eyes review, and batch evaluation.
Computational-science methodology for Claude Code: research framing, pre-registration, reproducible analysis, anomaly investigation, and red-team review
Rust LSP configuration using rust-analyzer.
Agentic workflow factory — compile project-specific planners, builders, and specialist agents for any codebase.
Semantic Scholar MCP server for academic paper search, citation graphs, and reference discovery.
TypeScript/JavaScript LSP configuration using typescript-language-server.
A marketplace of Claude Code plugins. Install plugins once globally (~/.claude/), then use them across all your projects.
| Plugin | Description | Docs |
|---|---|---|
| spec-driven-development | Self-replicating agentic workflow factory — compiles project-specific agents for any codebase | README |
# Marketplace
claude plugin marketplace add pipemind-com/pipemind-marketplace
# Plugins
claude plugin install spec-driven-development@pipemind-marketplace
claude plugin install scientific-method@pipemind-marketplace
claude plugin install rust-lsp@pipemind-marketplace
claude plugin install typescript-lsp@pipemind-marketplace
For issues with Claude Code itself: https://github.com/anthropics/claude-code