975 boosters — open source, verified from GitHub, ready to install
An AI-powered GitHub issue orchestrator that automatically fetches issues, spawns sub-agents to implement fixes, opens PRs, and monitors review feedback. Ideal for developers wanting to automate bug triage and fix deployment workflows.
Helps developers critically evaluate code review feedback by verifying technical soundness before implementation, preventing blind acceptance of potentially incorrect suggestions.
A debugging methodology booster that enforces root-cause analysis before proposing fixes, helping developers avoid quick patches that mask underlying issues. Useful for anyone working with code in Claude who needs structured debugging processes.
A skill for executing pre-written implementation plans with critical review and checkpoint validation, ideal for breaking complex tasks into separate sessions with human oversight.
Guides developers through the final stages of completing a development branch by verifying tests pass and presenting structured options for merging, creating PRs, or cleanup. Useful for developers who want a systematic approach to integrating completed work.
This booster enforces mandatory skill tool invocation at the start of conversations to establish available capabilities. It's designed for users who want to ensure AI assistants always discover and declare applicable skills before responding.
A skill that generates detailed, bite-sized implementation plans for multi-step tasks before coding begins, designed for engineers unfamiliar with the codebase. Useful for teams wanting structured planning and onboarding guidance.
Helps developers create isolated git worktrees for parallel feature development without disrupting their current workspace. Essential for teams managing multiple branches simultaneously.
Enables concurrent investigation of multiple independent tasks by dispatching separate agents to each problem domain, saving time on parallel debugging and testing workflows.
Guides AI coding assistants to follow Test-Driven Development principles by writing failing tests before implementation code. Useful for developers who want to maintain code quality and ensure comprehensive test coverage.
A collaborative design-first booster that guides developers through brainstorming and specification before implementation, preventing premature coding and misaligned requirements.
This booster dispatches a code-reviewer subagent to catch issues before merging, promoting early and frequent code review practices. It benefits developers using claude_code who want to maintain code quality throughout their workflow.
A skill booster that structures implementation execution by dispatching independent subagents for each task with two-stage review (spec compliance, then code quality), designed for developers managing multi-task implementation plans in a single session.
A TDD-based framework for creating and validating AI agent skills through test-driven documentation and pressure testing. Developers building Claude Code agents or multi-agent systems benefit from this systematic approach to skill development and deployment.
This booster enforces a disciplined verification workflow that prevents false success claims by requiring developers to run and confirm verification commands before marking work complete. It's essential for any development team wanting to eliminate premature PRs and false positives.
The xlsx skill enables Claude to work with spreadsheet files—opening, editing, creating, cleaning, and converting .xlsx, .xlsm, .csv, and .tsv files. It's essential for users who need programmatic spreadsheet manipulation without leaving their AI assistant.
The docx skill enables AI assistants to create, read, edit, and manipulate Word documents with professional formatting, tables of contents, images, and tracked changes. It's useful for developers and users who need to programmatically generate or process .docx files as part of their workflows.
A skill that empowers developers to create polished, production-ready frontend interfaces and React components with distinctive design that avoids generic AI aesthetics. Ideal for anyone building web UIs, landing pages, dashboards, or custom web components.
mcp-builder is a guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to integrate with external services and APIs. It helps developers build well-designed tool interfaces in Python or TypeScript for AI-powered applications.
A PDF processing skill that enables users to read, extract, merge, split, and manipulate PDF files through an AI coding assistant. Developers and business users benefit from automated PDF workflows without writing complex code.
Theme Factory provides a toolkit for applying professional, pre-designed color and font themes to various artifacts like slides, documents, and HTML pages. Developers and content creators benefit from rapid styling without manual design work.
A skill that helps employees write consistent internal communications (status reports, newsletters, incident reports, etc.) using their company's preferred formats and templates.
Applies Anthropic's official brand colors, typography, and design standards to artifacts created in Claude Code, ensuring consistent corporate visual identity. Useful for developers building internal tools, demos, or branded content that should reflect Anthropic's design language.
This skill guides developers in building LLM-powered applications using Claude and Anthropic SDKs, with smart triggering based on API imports and user intent. Ideal for developers looking to integrate Claude into their projects with language-specific best practices.
