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By michelabboud
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
npx claudepluginhub michelabboud/claude-code --plugin learning-output-styleClaude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands. Use it in your terminal, IDE, or tag @claude on Github.
Learn more in the official documentation.
MacOS/Linux:
curl -fsSL https://claude.ai/install.sh | bash
Homebrew (MacOS):
brew install --cask claude-code
Windows:
irm https://claude.ai/install.ps1 | iex
NPM:
npm install -g @anthropic-ai/claude-code
NOTE: If installing with NPM, you also need to install Node.js 18+
claude.This repository includes several Claude Code plugins that extend functionality with custom commands and agents. See the plugins directory for detailed documentation on available plugins.
We welcome your feedback. Use the /bug command to report issues directly within Claude Code, or file a GitHub issue.
Join the Claude Developers Discord to connect with other developers using Claude Code. Get help, share feedback, and discuss your projects with the community.
When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the /bug command.
See our data usage policies.
We have implemented several safeguards to protect your data, including limited retention periods for sensitive information, restricted access to user session data, and clear policies against using feedback for model training.
For full details, please review our Commercial Terms of Service and Privacy Policy.
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
互動式學習模式,在決策點請求有意義的程式碼貢獻(模擬未發布的學習輸出風格)
Science-based learning exercises for deliberate skill development during AI-assisted coding
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
Permanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.
Intelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, background execution, subagent routing, output readability, user-decision questions, and plan-mode assessment
Semantic search for Claude Code conversations. Remember past discussions, decisions, and patterns.
Automated QA sweep for web apps — run /sentinel:run sweep for full browser+API QA, /sentinel:run api for endpoint-only testing, /sentinel:run setup to configure
Automated QA sweep for web apps — run /sentinel:run sweep for full browser+API QA, /sentinel:run api for endpoint-only testing, /sentinel:run setup to configure
Automated code review for pull requests using multiple specialized agents with confidence-based scoring
Implementation of the Ralph Wiggum technique - continuous self-referential AI loops for interactive iterative development. Run Claude in a while-true loop with the same prompt until task completion.
Frontend design skill for UI/UX implementation
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