1,181 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 create isolated git worktrees for parallel feature development without disrupting their current workspace. Essential for teams managing multiple branches simultaneously.
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.
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.
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 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.
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 critically evaluate code review feedback by verifying technical soundness before implementation, preventing blind acceptance of potentially incorrect suggestions.
Enables concurrent investigation of multiple independent tasks by dispatching separate agents to each problem domain, saving time on parallel debugging and testing workflows.
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.
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.
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 collaborative design-first booster that guides developers through brainstorming and specification before implementation, preventing premature coding and misaligned requirements.
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.
doc-coauthoring guides users through a structured three-stage workflow (context gathering, refinement, and reader testing) for collaboratively creating technical documentation, proposals, and specs. It benefits technical writers, engineers, and product managers who need to efficiently co-author structured content.
A skill that helps employees write consistent internal communications (status reports, newsletters, incident reports, etc.) using their company's preferred formats and templates.
This skill enables AI assistants to intelligently handle PowerPoint files by triggering whenever .pptx files are involved—whether creating presentations, extracting content, editing slides, or working with templates. It's valuable for developers and users who need seamless automation around presentation workflows.
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.
This booster enables users to create original generative and algorithmic art using p5.js with interactive parameter exploration, ideal for artists, designers, and creative coders wanting to explore computational aesthetics.
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.
A toolkit for creating animated GIFs optimized for Slack with specific dimension, FPS, and color constraints. Developers building Slack integrations or bots will find this useful for generating compliant emoji and message GIFs.
A Playwright-based toolkit for testing local web applications, enabling developers to verify frontend functionality, debug UI behavior, and capture browser diagnostics. Essential for AI coding assistants building and validating web applications.
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.
