By bendrucker
Searches GitHub, package registries (npm, PyPI, crates.io), and the web to research prior art and existing solutions for new problem spaces, then summarizes projects, patterns, and recommendations.
My personal plugin marketplace for Claude Code, Anthropic's AI coding assistant.
This repository provides plugins for Claude Code, organized as a plugin marketplace. Plugins extend Claude Code with language conventions, workflow automation, service integrations, and custom behaviors.
It also contains my user configuration.
Many plugins include TypeScript hooks and scripts that require Bun to run. See Bun's installation guide for setup instructions. Bun runs TypeScript natively and auto-installs missing dependencies on first run.
Browse the plugins/ directory to see available plugins. Each plugin has its own README describing its contents.
The user/ directory contains user-level Claude Code configuration that gets symlinked to ~/.claude. This includes global instructions, settings (plugins, permissions, sandbox), and hooks that apply across all projects.
To test a plugin locally without publishing:
claude --plugin-dir ./plugins/<name> --setting-sources local
This isolates the session from user/project settings, loading only the specified plugin. Use this to verify changes before committing.
MIT © Ben Drucker
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimPull request workflows: create, update, babysit CI, and reviewer follow-up
Query local shell history from atuin: recent commands, usage stats, and ad-hoc SQL over the history db
Query local ActivityWatch usage data: per-app time, window titles, and active vs idle spans
Meta-tools for Claude Code configuration and customization
Create technical specifications through interactive planning and expert review
npx claudepluginhub bendrucker/claude --plugin researchA plain-language pre-build reality check and evidence-backed alternative research toolkit for vibe coders.
Structured AI-enabled research workflows for software development: Research, Plan, Experiment, Implement
5 methods to retrieve code context: DeepWiki, Context7, Exa, git clone, and web search+fetch
The code context layer for AI coding agents
Research, docs lookup, utility routing, skill authoring, instruction review, reasoning, and agent configuration audits
Deep research coordination: academic papers, technical analysis, data insights, and web intelligence